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Join Bally’s Intralot as an Oracle PL/SQL Developer
As an Oracle PL/SQL Engineer at Bally’s Intralot, you will contribute to the design and evolution of the database architecture supporting our enterprise platforms. Collaborating closely with backend engineers, you will ensure seamless integration between PL/SQL logic and Java/Spring Boot services, delivering scalable and high-quality solutions that serve clients across global markets.
Your Key Responsibilities:
Design, develop, and maintain PL/SQL packages, procedures, functions, triggers, and views.
Work collaboratively with Java/Spring Boot teams to integrate PL/SQL logic into backend services.
Optimize SQL queries and database structures to enhance performance and scalability.
Assist in data migration activities, ETL processes, and system integrations.
Engage in database design, schema reviews, and code quality assessments.
Troubleshoot and resolve performance issues, production incidents, and database bottlenecks.
Keep technical documentation clear and up-to-date.
Contribute to the enhancement of development standards, code quality, and automation practices.
Join Bally’s Intralot as an Oracle PL/SQL DeveloperAs an Oracle PL/SQL Engineer at Bally’s Intralot, you will contribute to the design and evolution of the database architecture supporting our enterprise platforms. Collaborating closely with backend engineers, you will ensure seamless integration between PL/SQL logic and Java/Spring Boot services, delivering…
Join Kpler as a Business Intelligence Data Engineer where you will play a crucial role in transforming data into actionable insights. You will work with various data sources and be part of a dynamic team focused on enhancing our data platforms. You will have the opportunity to leverage your analytical skills to drive strategic decision-making and contribute to our innovative solutions.
Speechify’s mission is to make reading accessible for everyone, removing barriers to learning for millions worldwide. Over 50 million people use Speechify to convert PDFs, books, Google Docs, news articles, and websites into audio, helping them read faster and retain more. Our products span iOS, Android, Mac, Chrome, and web. Google named us Chrome Extension of the Year, and Apple recognized us with the 2025 Design Award for Inclusivity. Our fully remote team includes nearly 200 engineers, researchers, and professionals from companies like Amazon, Microsoft, and Google, as well as graduates of leading universities such as Stanford. Many team members have also founded their own startups, bringing a wide range of experience and creativity to our work. Role Overview Speechify is hiring a Software Engineer for the Data Infrastructure & Acquisition team, based in Thessaloniki, Greece. This position focuses on data collection and infrastructure to support AI model training. The team builds and maintains petabyte-scale datasets efficiently, combining engineering, research, and infrastructure expertise. What You Will Do Identify and integrate new audio data sources into the data ingestion pipeline. Manage and improve cloud infrastructure for data ingestion, currently using Google Cloud Platform (GCP) and Terraform. Collaborate with scientists to optimize cost, throughput, and data quality, supporting next-generation AI models. Work with the AI team and leadership to plan the dataset roadmap for future consumer and enterprise products. Requirements BS, MS, or PhD in Computer Science or a related field. At least 5 years of professional software development experience. Proficiency in bash and Python scripting in Linux environments. Experience with Docker and Infrastructure-as-Code tools, and professional experience with at least one major cloud provider (GCP preferred). Background with web crawlers and large-scale data processing is a plus. Strong organizational skills and ability to manage shifting priorities. Excellent written and verbal communication skills.
About UsNavarino is a pioneering global technology firm with a presence across multiple countries including Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan, and Singapore. We specialize in cutting-edge technological solutions tailored for the shipping industry and have established ourselves as leaders in this domain. Our R&D and engineering teams are dedicated to enhancing our product offerings with innovative software and services developed internally.We take great pride in our team and organizational culture, fostering an environment that promotes creativity, collaboration, and excellence. Our dedicated workforce, core values, and collaborative work practices cultivate a dynamic, professional, and enjoyable workplace that delivers exceptional value to our clients.Role OverviewAs an AI Engineer, you will play a pivotal role in designing, building, and deploying state-of-the-art artificial intelligence solutions. Collaborating closely with data scientists, software engineers, and product teams, you will develop robust machine learning models, integrate AI functionalities into products, and optimize systems to enhance performance and scalability.The ideal candidate will possess a robust technical background in machine learning and deep learning, complemented by practical experience in software engineering and data processing.
Are you enthusiastic about artificial intelligence and adept at assessing text and multimedia content?We are seeking meticulous linguists with native fluency in Greek to assist in AI training initiatives. Responsibilities include evaluating prompts, comprehending video content, reviewing text, and making corrections, among other tasks.This is a remote freelance position.
Are you excited about Data & AI? At Satori Analytics, we are redefining the landscape of data and artificial intelligence. Our mission is to empower global brands by providing unparalleled clarity through innovative data solutions. We develop cloud-based ecosystems for fintech and predictive models for airlines, offering cutting-edge solutions that span the entire data lifecycle—from ingestion to AI applications.As a rapidly growing scale-up, our dynamic team of over 100 tech professionals—including Data Engineers, Data Scientists, and more—delivers transformative analytics solutions across diverse sectors such as FMCG, retail, manufacturing, and financial services. Join us in spearheading the data revolution in South-Eastern Europe and beyond!What Your Day Might Look Like:Technical & Delivery LeadershipLead the development and enhancement of data engineering standards, best practices, and architectural principles for all Satori projects.Serve as a senior technical authority for complex data platforms, including cloud data stacks, pipelines, streaming, and orchestration.Assist project teams in solution design, risk management, and technical decision-making processes.Evaluate and critique designs to ensure they meet scalability, performance, security, and cost-effectiveness criteria.Collaborate with Tech Leads to maintain consistency and quality across projects.People Management & LeadershipOversee Senior Data Engineers and Tech Leads, fostering growth, performance, and career advancement.Mentor engineers on technical depth, ownership, communication, and leadership skills.Contribute to performance evaluations, development plans, and promotion decisions in line with Satori’s competency framework.Exemplify Satori’s values of collaboration, transparency, and accountability.Cross-Functional CollaborationWork in tandem with Product Owners to align technical solutions with client requirements and delivery constraints.Partner with Data Science, AI, and Cloud teams to ensure seamless end-to-end solutions.Support presales and discovery phases by providing technical insights, estimations, and solution framing when necessary.Organizational ImpactIdentify skill gaps, tooling, or process improvements and recommend practical solutions.Engage in internal initiatives, such as guilds, playbooks, training, and knowledge sharing.Help scale the data engineering capabilities as Satori expands, ensuring quality and culture are preserved.
Are you a proactive and enthusiastic professional with a strong interest in artificial intelligence (AI) and natural language processing (NLP)? Join our innovative team as a Data Analytics Consultant in Athens or remotely. You will collaborate with a skilled group of experts on pioneering technologies to implement significant IT software projects for prominent international public entities. We offer thorough training and support to help you achieve your career goals.Your Responsibilities: Extract and analyze data from diverse sources to enhance product development, marketing strategies, and business initiatives; Evaluate the precision and efficacy of new data sources and data collection methods; Identify suitable models and algorithms for addressing business challenges; Work alongside various functional teams to design models and oversee their implementation and results; Assess model quality and refine candidate algorithms/models; Create processes and tools to monitor and analyze model performance and data integrity; Engage in the complete development lifecycle, from design and implementation to testing, documentation, and maintenance of system components; Collaborate effectively in a multinational environment, adhering to high professional standards; Ensure the delivery of high-quality software solutions. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field; Experience in a commercial or industrial setting, either through work or research; Proficiency in text analytics and natural language processing techniques (deep learning experience is a plus); Development experience with statistical programming languages (Python, R, etc.), including skills in building and deploying machine learning models; Familiarity with Big Data technologies, such as Spark (and PySpark); Experience with SQL and exposure to ETL development; Strong understanding of AI and machine learning methodologies; Good grasp of data modeling and evaluation; Exceptional analytical skills, team-oriented, and eager to learn and excel; Familiarity with Software Engineering principles; Excellent written and verbal communication skills in English. Benefits:We value talent and dedication, offering you the following perks:Attractive full-time salary;Comprehensive Private Health Coverage through the Company’s group program;Flexible Working Hours;Access to Advanced Tools;Opportunities for Professional Development, including language courses and specialized training.
Join Avomind, a distinguished recruiting firm dedicated to linking top-tier talent with dynamic, high-growth companies. We pride ourselves on our multicultural team, fluent in 16 languages and hailing from countries across Europe, the Americas, and Asia.Our mission is simple: to provide exceptional opportunities for our candidates while delivering only the most qualified candidates to our valued clients.What We Need:As we expand our Talent Acquisition team, we are looking for enthusiastic individuals to contribute significantly to our operations. This role is essential to Avomind's success, placing you at the forefront of our recruitment initiatives and shaping the future of our business.Are you passionate, dedicated, and eager to learn about the recruitment landscape? If so, we want to hear from you!Your Daily Responsibilities:Collaborate on both outbound and inbound recruitment strategies, partnering closely with management to uncover new candidate pathways.Utilize various channels, including LinkedIn, Xing, GitHub, and Google X-Ray, to source candidates directly.Conduct screening calls to familiarize yourself with candidates, assessing their suitability for our roles.Coordinate interview logistics alongside our Project Managers and Client Managers.Provide insights to Project Managers and Client Managers regarding candidate trends and landscapes to enhance our client services.Own the candidate experience, building your reputation through exceptional service.Work alongside some of the best professionals in the industry, and we’re thrilled to welcome you to our team!
Full-time|On-site|Athens or Ioannina, Sterea Ellada, Greece
Location: Athens or Ioannina, Sterea Ellada, Greece About Snappi Bank Snappi Bank is building a neobank from the ground up. The team focuses on financial freedom by delivering transparent, technology-driven digital banking services. The company aims to reshape how people interact with their finances. Role Overview The Data Engineer will design, build, and manage data architecture and pipelines that support data acquisition, storage, processing, and analysis across the organization. This position is open in both the Athens and Ioannina offices. Main Responsibilities Create and maintain data pipelines and infrastructure for efficient ingestion, processing, and storage of large datasets. Work with data scientists, analysts, and other stakeholders to understand data needs and translate them into technical solutions. Develop and optimize data models and schemas for effective storage and retrieval. Build and manage ETL processes to bring data from various sources into data warehouses or lakes. Monitor and troubleshoot pipelines to ensure data integrity, reliability, and performance. Evaluate and introduce new tools or technologies to improve data processing and operational efficiency. Document pipelines, processes, and solutions to support knowledge sharing and maintainability. Partner with infrastructure and DevOps teams to deploy and manage data systems in cloud environments. Keep up with trends and best practices in data engineering and analytics. Qualifications Bachelor’s degree in Computer Science, Electronics, or equivalent experience in data roles. Minimum 5 years of experience in a similar position (7+ years preferred; 3-5 years considered for junior roles). Strong skills in SQL and Python; experience with Azure Data Factory is a plus. Excellent interpersonal skills, including listening, negotiation, and presentation. Clear verbal and written communication abilities. Attention to detail. Effective decision-making, problem analysis, and resolution skills. Strong organizational habits. Proactive approach to problem-solving. Comfort working in a fast-changing environment. Interest in agile software processes, data-driven development, reliability, and experimentation; experience with Agile product teams is a plus. Why Work at Snappi? Snappi Bank values innovation, trust, and ongoing growth. The team focuses on solutions and results. This is a chance to make a real impact on the future of banking and improve financial services for a broad audience.
toloka-ai seeks a Freelance Machine Learning Developer to join its team remotely from Greece. This position centers on using machine learning and artificial intelligence skills to support various projects. Collaboration with colleagues across locations is a key part of the role. Responsibilities Apply machine learning expertise to both ongoing and new projects Work closely with distributed team members in a remote environment Use modern technologies to solve complex problems Location This is a remote position open to candidates based in Greece.
Join Kpler as a Senior Data Engineer in Greece, where you'll play a vital role in our Power team, responsible for managing extensive datasets related to the European power market. Your expertise will help us retrieve, normalize, and distribute crucial data, including real-time availability computations and market forecasts ranging from intraday to long-term projections. Collaborate with a diverse team of over 700 professionals dedicated to transforming complex data into actionable insights, empowering our clients to thrive in dynamic markets.
Toloka AI is looking for a Freelance Brand Designer to shape and communicate the company’s brand across digital platforms. This contract position is fully remote and open to candidates located in Greece. Role overview This role centers on creating and refining visual assets that capture Toloka AI’s identity and values. The designer will work closely with the team to maintain a consistent brand presence across web, social media, and marketing materials. What you will do Design visual assets that express Toloka AI’s brand Develop and update brand elements for use on digital and marketing channels Work with team members to ensure a unified brand experience Requirements Portfolio demonstrating experience in branding and digital design Creative mindset and strong attention to detail Ability to work independently and communicate effectively with remote teams Residence in Greece
We are seeking a talented Site Reliability Data Engineer to join our dynamic team in Athens. As a Site Reliability Data Engineer, you will be at the forefront of ensuring the reliability and performance of our data systems. Your expertise will play a critical role in maintaining service uptime, optimizing system performance, and enhancing our data infrastructure.Your responsibilities will include monitoring system performance, troubleshooting issues, and implementing automation tools to streamline processes. You will collaborate with cross-functional teams to design and deploy scalable infrastructure solutions.
Join Kpler as a Data Engineer specializing in Dry Bulk Commodities. In this pivotal role, you will design, implement, and optimize data pipelines to support our dynamic analytics platform. Collaborate with cross-functional teams to enhance data accessibility and ensure high data quality, driving insights that empower our clients in the commodities market.
Join Kaizen GamingAt Kaizen Gaming, we are at the forefront of the GameTech industry, operating in 20 markets and delivering exceptional entertainment experiences to millions of customers. Our team of over 2,700 professionals hails from more than 40 nationalities across three continents, making us a truly diverse and innovative workplace.We are proud to be recognized as one of the Best Workplaces in Europe, certified as a Great Place to Work in our offices. Here, every day is unique and filled with opportunities to grow. Are you ready to 'Press Play' on your potential?About the RoleAs the Data Science Team Lead, you will spearhead an AI product team dedicated to developing impactful AI solutions. Your role will involve analyzing data, designing machine learning models, and collaborating with technology teams to launch successful AI products.The ideal candidate will possess a robust understanding of machine learning algorithms, extensive experience in building production-ready ML/AI applications, and a proven track record of leading AI teams.Your ResponsibilitiesLead and manage a team of 5 to 7 talented data scientists and machine learning engineers.Translate product requirements into machine learning challenges while identifying key areas for AI-driven business impact.Conduct data analysis to uncover significant patterns and insights.Perform exploratory data analysis (EDA) and feature engineering to enhance the modeling process.Implement best practices in model selection, optimization, and tuning.Execute comparative experiments for model training.Evaluate various potential solutions through ML metrics analysis.Oversee the complete lifecycle of AI features, from data collection to design, implementation, and optimization in production environments.Mentor junior team members and guide the team through complex projects.
METRO AEBE operates a large network of retail stores in Greece and Cyprus, including My Market, My Market Local, METRO Cash & Carry, and BEST VALUE. With more than 11,000 employees, the company has been recognized as a Top Employer for both 2025 and 2026. As the company continues to expand, it remains committed to business growth alongside sustainable practices. The Data Warehouse (DWH) team in Athens is adding a Data Engineer to support these efforts. Role overview This Data Engineer position focuses on designing, improving, and optimizing enterprise data products. The work directly supports data-driven decision-making throughout METRO AEBE.
Are you a skilled Azure DevSecOps Engineer with a strong background in Git, Infrastructure as Code (IaC), and automation tool development? Join our dynamic team in Athens or work remotely to contribute to significant international IT projects.Your Responsibilities: Design, implement, and oversee secure CI/CD pipelines utilizing Azure DevOps or Jenkins; Develop and enhance IaC solutions using Bicep and/or Terraform; Automate the provisioning, configuration, and deployment of infrastructure across Development, Testing, and Production environments; Help shape our DevSecOps strategy, ensuring secure, scalable, and reliable delivery processes. Essential Qualifications: Proven experience with Azure Cloud services; Expertise in Terraform and/or Bicep for Infrastructure as Code; Solid experience with CI/CD tools; Proficient in scripting languages such as Bash, Python, or similar; Strong understanding of Git workflows and branching strategies; Fluent in both written and spoken English. Preferred Qualifications: Familiarity with Jenkins in addition to Azure DevOps; Knowledge of Azure IaaS, PaaS, and SaaS services; Experience with monitoring, logging, and alerting in cloud environments. Benefits:We value talent and commitment. Here’s what you can look forward to as part of our team:Competitive full-time salary;Private Health Coverage through the Company’s group program;Flexible Working Hours;Access to top-tier tools;Professional Development opportunities: language courses, specialized training, and continuous learning;Career Growth: collaborate with some of the industry's most innovative specialists;A dynamic work environment that promotes challenging goals, autonomy, and mentorship for both personal and company growth.If you’re ready for an exciting challenge and want to work with cutting-edge technologies while enjoying your role, we invite you to apply! Submit your detailed CV in English, referencing: (JDEN/02/26).Explore our other open vacancies by visiting our career section at www.eurodyn.com and follow us on Twitter (@EURODYN_Careers) and LinkedIn.European Dynamics (ED) (www.eurodyn.com) is a prominent European company specializing in Software, Information, and Communication Technologies, with an international footprint.
Optasia is a dynamic B2B2X financial technology platform that specializes in scoring, financial decision-making, disbursement, and collection. Our mission is to foster financial inclusion globally, as we are transforming the financial landscape.We are looking for passionate and energetic professionals who are results-oriented and possess a proactive mindset. Join our innovative team of like-minded individuals dedicated to delivering cutting-edge solutions in an exciting environment. At Optasia, data is central to our growth strategy, and our Data Engineering team plays a vital role in our success through data-driven insights and decision-making.As an ML & Data Ops Engineer at Optasia, you will be pivotal in ensuring the availability and performance of our workflows. You will monitor and optimize our existing data system infrastructure, prioritize issue resolution, and promote a culture of continuous improvement. Your contributions will be essential in maintaining high service standards and reinforcing our commitment to client success.Key Responsibilities:Oversee daily monitoring of ML workflows, service alerts, and all data system infrastructure, including storage, applications, databases, and resources.Act as an escalation point for critical ML and data incidents, diagnosing issues and resolving or escalating as needed.Champion continuous integration, continuous delivery, and automation practices to facilitate seamless software transitions from development to production.Manage customer inquiries efficiently to ensure prompt responses and resolutions within defined SLAs.Encourage a culture of continuous improvement by identifying enhancements in processes, tools, and technologies.Conduct health and quality checks of ML and data workflows to ensure operational excellence.Collaborate with cross-functional teams including ML/Data Engineering, Algorithmic Trading, and System & Network Administration to resolve internal and client-related issues effectively.Develop training materials and deliver sessions, maintaining comprehensive technical documentation.
Join Optasia, a pioneering B2B2X financial technology platform that is revolutionizing financial inclusion through advanced scoring, decision-making, disbursement, and collection solutions. We are dedicated to changing the world of finance for the better.At Optasia, we thrive on innovation, and we are looking for passionate individuals who are results-oriented and eager to collaborate in a dynamic team environment. Data is the backbone of our growth strategy, and the Data Engineering team plays a crucial role in driving data-driven automated decision-making processes.We invite you to become a part of our expanding Data Engineering team as a Junior Data Engineer. In this role, you will have the opportunity to design and implement robust batch and streaming data pipelines, significantly contributing to our mission.Your ResponsibilitiesCollaborate with Data Architects, Machine Learning Engineers, and Data Analysts to design, deliver, and support the company's ETL and ML pipelines.Develop and maintain essential libraries for batch processing and large-scale data ingestion.Create and implement new processes to facilitate real-time data streaming from various sources.Enhance the efficiency and accuracy of data injection into our big data infrastructure.Explore and apply innovative data engineering patterns and technologies.Your QualificationsBachelor's or Master's degree in Computer Science, Informatics, or a related field.Understanding of data modeling, mining, and warehousing methodologies.Proficiency in at least one programming language, preferably Java, Scala, or Python.Solid SQL skills.Strong analytical abilities with meticulous attention to detail.A genuine enthusiasm for learning new technologies and working collaboratively with creative professionals.Preferred QualificationsPractical experience with Big Data technologies (e.g., Apache Spark, YARN, HDFS, MapReduce).Experience with NoSQL databases.Familiarity with mathematical modeling, algorithm development, and machine learning.Why Optasia?What we offer: Flexible hybrid working environment Competitive salary package Additional day off on your birthday Performance-based bonuses Comprehensive private health insurance All necessary tech gear to work efficientlyJoin our multicultural team at Optasia and be part of a unique and rewarding workplace!
About Satori Analytics Satori Analytics is based in Athens and delivers Data and AI solutions to global brands. The team works across the full data lifecycle, from ingestion to AI applications, and builds technologies for industries such as fintech, airlines, FMCG, retail, manufacturing, and financial services. With more than 100 technology professionals, Satori Analytics is driving data innovation in South-Eastern Europe and beyond. Role Overview: Junior AI Engineer This role focuses on designing and implementing AI workflows and models, with a strong emphasis on Python and large language models (LLMs). The Junior AI Engineer works closely with data scientists, developers, and domain experts to deliver scalable AI solutions and translate business needs into actionable outcomes. What You Will Do Design and implement AI workflows and models: Use Python and LLMs to build scalable solutions that connect AI/ML with software engineering. Collaborate with multidisciplinary teams: Work alongside data scientists, developers, and subject matter experts to move projects forward and share knowledge. Research and apply new techniques: Stay current on AI trends and incorporate emerging methods into your work. Translate business problems: Turn complex business challenges into practical ML/AI solutions, and communicate results clearly. Document your work: Keep thorough, clear records so projects remain reproducible and easy for teammates to understand. Location Athens, Attica, Greece
Join Bally’s Intralot as an Oracle PL/SQL DeveloperAs an Oracle PL/SQL Engineer at Bally’s Intralot, you will contribute to the design and evolution of the database architecture supporting our enterprise platforms. Collaborating closely with backend engineers, you will ensure seamless integration between PL/SQL logic and Java/Spring Boot services, delivering…
Join Kpler as a Business Intelligence Data Engineer where you will play a crucial role in transforming data into actionable insights. You will work with various data sources and be part of a dynamic team focused on enhancing our data platforms. You will have the opportunity to leverage your analytical skills to drive strategic decision-making and contribute to our innovative solutions.
Speechify’s mission is to make reading accessible for everyone, removing barriers to learning for millions worldwide. Over 50 million people use Speechify to convert PDFs, books, Google Docs, news articles, and websites into audio, helping them read faster and retain more. Our products span iOS, Android, Mac, Chrome, and web. Google named us Chrome Extension of the Year, and Apple recognized us with the 2025 Design Award for Inclusivity. Our fully remote team includes nearly 200 engineers, researchers, and professionals from companies like Amazon, Microsoft, and Google, as well as graduates of leading universities such as Stanford. Many team members have also founded their own startups, bringing a wide range of experience and creativity to our work. Role Overview Speechify is hiring a Software Engineer for the Data Infrastructure & Acquisition team, based in Thessaloniki, Greece. This position focuses on data collection and infrastructure to support AI model training. The team builds and maintains petabyte-scale datasets efficiently, combining engineering, research, and infrastructure expertise. What You Will Do Identify and integrate new audio data sources into the data ingestion pipeline. Manage and improve cloud infrastructure for data ingestion, currently using Google Cloud Platform (GCP) and Terraform. Collaborate with scientists to optimize cost, throughput, and data quality, supporting next-generation AI models. Work with the AI team and leadership to plan the dataset roadmap for future consumer and enterprise products. Requirements BS, MS, or PhD in Computer Science or a related field. At least 5 years of professional software development experience. Proficiency in bash and Python scripting in Linux environments. Experience with Docker and Infrastructure-as-Code tools, and professional experience with at least one major cloud provider (GCP preferred). Background with web crawlers and large-scale data processing is a plus. Strong organizational skills and ability to manage shifting priorities. Excellent written and verbal communication skills.
About UsNavarino is a pioneering global technology firm with a presence across multiple countries including Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan, and Singapore. We specialize in cutting-edge technological solutions tailored for the shipping industry and have established ourselves as leaders in this domain. Our R&D and engineering teams are dedicated to enhancing our product offerings with innovative software and services developed internally.We take great pride in our team and organizational culture, fostering an environment that promotes creativity, collaboration, and excellence. Our dedicated workforce, core values, and collaborative work practices cultivate a dynamic, professional, and enjoyable workplace that delivers exceptional value to our clients.Role OverviewAs an AI Engineer, you will play a pivotal role in designing, building, and deploying state-of-the-art artificial intelligence solutions. Collaborating closely with data scientists, software engineers, and product teams, you will develop robust machine learning models, integrate AI functionalities into products, and optimize systems to enhance performance and scalability.The ideal candidate will possess a robust technical background in machine learning and deep learning, complemented by practical experience in software engineering and data processing.
Are you enthusiastic about artificial intelligence and adept at assessing text and multimedia content?We are seeking meticulous linguists with native fluency in Greek to assist in AI training initiatives. Responsibilities include evaluating prompts, comprehending video content, reviewing text, and making corrections, among other tasks.This is a remote freelance position.
Are you excited about Data & AI? At Satori Analytics, we are redefining the landscape of data and artificial intelligence. Our mission is to empower global brands by providing unparalleled clarity through innovative data solutions. We develop cloud-based ecosystems for fintech and predictive models for airlines, offering cutting-edge solutions that span the entire data lifecycle—from ingestion to AI applications.As a rapidly growing scale-up, our dynamic team of over 100 tech professionals—including Data Engineers, Data Scientists, and more—delivers transformative analytics solutions across diverse sectors such as FMCG, retail, manufacturing, and financial services. Join us in spearheading the data revolution in South-Eastern Europe and beyond!What Your Day Might Look Like:Technical & Delivery LeadershipLead the development and enhancement of data engineering standards, best practices, and architectural principles for all Satori projects.Serve as a senior technical authority for complex data platforms, including cloud data stacks, pipelines, streaming, and orchestration.Assist project teams in solution design, risk management, and technical decision-making processes.Evaluate and critique designs to ensure they meet scalability, performance, security, and cost-effectiveness criteria.Collaborate with Tech Leads to maintain consistency and quality across projects.People Management & LeadershipOversee Senior Data Engineers and Tech Leads, fostering growth, performance, and career advancement.Mentor engineers on technical depth, ownership, communication, and leadership skills.Contribute to performance evaluations, development plans, and promotion decisions in line with Satori’s competency framework.Exemplify Satori’s values of collaboration, transparency, and accountability.Cross-Functional CollaborationWork in tandem with Product Owners to align technical solutions with client requirements and delivery constraints.Partner with Data Science, AI, and Cloud teams to ensure seamless end-to-end solutions.Support presales and discovery phases by providing technical insights, estimations, and solution framing when necessary.Organizational ImpactIdentify skill gaps, tooling, or process improvements and recommend practical solutions.Engage in internal initiatives, such as guilds, playbooks, training, and knowledge sharing.Help scale the data engineering capabilities as Satori expands, ensuring quality and culture are preserved.
Are you a proactive and enthusiastic professional with a strong interest in artificial intelligence (AI) and natural language processing (NLP)? Join our innovative team as a Data Analytics Consultant in Athens or remotely. You will collaborate with a skilled group of experts on pioneering technologies to implement significant IT software projects for prominent international public entities. We offer thorough training and support to help you achieve your career goals.Your Responsibilities: Extract and analyze data from diverse sources to enhance product development, marketing strategies, and business initiatives; Evaluate the precision and efficacy of new data sources and data collection methods; Identify suitable models and algorithms for addressing business challenges; Work alongside various functional teams to design models and oversee their implementation and results; Assess model quality and refine candidate algorithms/models; Create processes and tools to monitor and analyze model performance and data integrity; Engage in the complete development lifecycle, from design and implementation to testing, documentation, and maintenance of system components; Collaborate effectively in a multinational environment, adhering to high professional standards; Ensure the delivery of high-quality software solutions. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field; Experience in a commercial or industrial setting, either through work or research; Proficiency in text analytics and natural language processing techniques (deep learning experience is a plus); Development experience with statistical programming languages (Python, R, etc.), including skills in building and deploying machine learning models; Familiarity with Big Data technologies, such as Spark (and PySpark); Experience with SQL and exposure to ETL development; Strong understanding of AI and machine learning methodologies; Good grasp of data modeling and evaluation; Exceptional analytical skills, team-oriented, and eager to learn and excel; Familiarity with Software Engineering principles; Excellent written and verbal communication skills in English. Benefits:We value talent and dedication, offering you the following perks:Attractive full-time salary;Comprehensive Private Health Coverage through the Company’s group program;Flexible Working Hours;Access to Advanced Tools;Opportunities for Professional Development, including language courses and specialized training.
Join Avomind, a distinguished recruiting firm dedicated to linking top-tier talent with dynamic, high-growth companies. We pride ourselves on our multicultural team, fluent in 16 languages and hailing from countries across Europe, the Americas, and Asia.Our mission is simple: to provide exceptional opportunities for our candidates while delivering only the most qualified candidates to our valued clients.What We Need:As we expand our Talent Acquisition team, we are looking for enthusiastic individuals to contribute significantly to our operations. This role is essential to Avomind's success, placing you at the forefront of our recruitment initiatives and shaping the future of our business.Are you passionate, dedicated, and eager to learn about the recruitment landscape? If so, we want to hear from you!Your Daily Responsibilities:Collaborate on both outbound and inbound recruitment strategies, partnering closely with management to uncover new candidate pathways.Utilize various channels, including LinkedIn, Xing, GitHub, and Google X-Ray, to source candidates directly.Conduct screening calls to familiarize yourself with candidates, assessing their suitability for our roles.Coordinate interview logistics alongside our Project Managers and Client Managers.Provide insights to Project Managers and Client Managers regarding candidate trends and landscapes to enhance our client services.Own the candidate experience, building your reputation through exceptional service.Work alongside some of the best professionals in the industry, and we’re thrilled to welcome you to our team!
Full-time|On-site|Athens or Ioannina, Sterea Ellada, Greece
Location: Athens or Ioannina, Sterea Ellada, Greece About Snappi Bank Snappi Bank is building a neobank from the ground up. The team focuses on financial freedom by delivering transparent, technology-driven digital banking services. The company aims to reshape how people interact with their finances. Role Overview The Data Engineer will design, build, and manage data architecture and pipelines that support data acquisition, storage, processing, and analysis across the organization. This position is open in both the Athens and Ioannina offices. Main Responsibilities Create and maintain data pipelines and infrastructure for efficient ingestion, processing, and storage of large datasets. Work with data scientists, analysts, and other stakeholders to understand data needs and translate them into technical solutions. Develop and optimize data models and schemas for effective storage and retrieval. Build and manage ETL processes to bring data from various sources into data warehouses or lakes. Monitor and troubleshoot pipelines to ensure data integrity, reliability, and performance. Evaluate and introduce new tools or technologies to improve data processing and operational efficiency. Document pipelines, processes, and solutions to support knowledge sharing and maintainability. Partner with infrastructure and DevOps teams to deploy and manage data systems in cloud environments. Keep up with trends and best practices in data engineering and analytics. Qualifications Bachelor’s degree in Computer Science, Electronics, or equivalent experience in data roles. Minimum 5 years of experience in a similar position (7+ years preferred; 3-5 years considered for junior roles). Strong skills in SQL and Python; experience with Azure Data Factory is a plus. Excellent interpersonal skills, including listening, negotiation, and presentation. Clear verbal and written communication abilities. Attention to detail. Effective decision-making, problem analysis, and resolution skills. Strong organizational habits. Proactive approach to problem-solving. Comfort working in a fast-changing environment. Interest in agile software processes, data-driven development, reliability, and experimentation; experience with Agile product teams is a plus. Why Work at Snappi? Snappi Bank values innovation, trust, and ongoing growth. The team focuses on solutions and results. This is a chance to make a real impact on the future of banking and improve financial services for a broad audience.
toloka-ai seeks a Freelance Machine Learning Developer to join its team remotely from Greece. This position centers on using machine learning and artificial intelligence skills to support various projects. Collaboration with colleagues across locations is a key part of the role. Responsibilities Apply machine learning expertise to both ongoing and new projects Work closely with distributed team members in a remote environment Use modern technologies to solve complex problems Location This is a remote position open to candidates based in Greece.
Join Kpler as a Senior Data Engineer in Greece, where you'll play a vital role in our Power team, responsible for managing extensive datasets related to the European power market. Your expertise will help us retrieve, normalize, and distribute crucial data, including real-time availability computations and market forecasts ranging from intraday to long-term projections. Collaborate with a diverse team of over 700 professionals dedicated to transforming complex data into actionable insights, empowering our clients to thrive in dynamic markets.
Toloka AI is looking for a Freelance Brand Designer to shape and communicate the company’s brand across digital platforms. This contract position is fully remote and open to candidates located in Greece. Role overview This role centers on creating and refining visual assets that capture Toloka AI’s identity and values. The designer will work closely with the team to maintain a consistent brand presence across web, social media, and marketing materials. What you will do Design visual assets that express Toloka AI’s brand Develop and update brand elements for use on digital and marketing channels Work with team members to ensure a unified brand experience Requirements Portfolio demonstrating experience in branding and digital design Creative mindset and strong attention to detail Ability to work independently and communicate effectively with remote teams Residence in Greece
We are seeking a talented Site Reliability Data Engineer to join our dynamic team in Athens. As a Site Reliability Data Engineer, you will be at the forefront of ensuring the reliability and performance of our data systems. Your expertise will play a critical role in maintaining service uptime, optimizing system performance, and enhancing our data infrastructure.Your responsibilities will include monitoring system performance, troubleshooting issues, and implementing automation tools to streamline processes. You will collaborate with cross-functional teams to design and deploy scalable infrastructure solutions.
Join Kpler as a Data Engineer specializing in Dry Bulk Commodities. In this pivotal role, you will design, implement, and optimize data pipelines to support our dynamic analytics platform. Collaborate with cross-functional teams to enhance data accessibility and ensure high data quality, driving insights that empower our clients in the commodities market.
Join Kaizen GamingAt Kaizen Gaming, we are at the forefront of the GameTech industry, operating in 20 markets and delivering exceptional entertainment experiences to millions of customers. Our team of over 2,700 professionals hails from more than 40 nationalities across three continents, making us a truly diverse and innovative workplace.We are proud to be recognized as one of the Best Workplaces in Europe, certified as a Great Place to Work in our offices. Here, every day is unique and filled with opportunities to grow. Are you ready to 'Press Play' on your potential?About the RoleAs the Data Science Team Lead, you will spearhead an AI product team dedicated to developing impactful AI solutions. Your role will involve analyzing data, designing machine learning models, and collaborating with technology teams to launch successful AI products.The ideal candidate will possess a robust understanding of machine learning algorithms, extensive experience in building production-ready ML/AI applications, and a proven track record of leading AI teams.Your ResponsibilitiesLead and manage a team of 5 to 7 talented data scientists and machine learning engineers.Translate product requirements into machine learning challenges while identifying key areas for AI-driven business impact.Conduct data analysis to uncover significant patterns and insights.Perform exploratory data analysis (EDA) and feature engineering to enhance the modeling process.Implement best practices in model selection, optimization, and tuning.Execute comparative experiments for model training.Evaluate various potential solutions through ML metrics analysis.Oversee the complete lifecycle of AI features, from data collection to design, implementation, and optimization in production environments.Mentor junior team members and guide the team through complex projects.
METRO AEBE operates a large network of retail stores in Greece and Cyprus, including My Market, My Market Local, METRO Cash & Carry, and BEST VALUE. With more than 11,000 employees, the company has been recognized as a Top Employer for both 2025 and 2026. As the company continues to expand, it remains committed to business growth alongside sustainable practices. The Data Warehouse (DWH) team in Athens is adding a Data Engineer to support these efforts. Role overview This Data Engineer position focuses on designing, improving, and optimizing enterprise data products. The work directly supports data-driven decision-making throughout METRO AEBE.
Are you a skilled Azure DevSecOps Engineer with a strong background in Git, Infrastructure as Code (IaC), and automation tool development? Join our dynamic team in Athens or work remotely to contribute to significant international IT projects.Your Responsibilities: Design, implement, and oversee secure CI/CD pipelines utilizing Azure DevOps or Jenkins; Develop and enhance IaC solutions using Bicep and/or Terraform; Automate the provisioning, configuration, and deployment of infrastructure across Development, Testing, and Production environments; Help shape our DevSecOps strategy, ensuring secure, scalable, and reliable delivery processes. Essential Qualifications: Proven experience with Azure Cloud services; Expertise in Terraform and/or Bicep for Infrastructure as Code; Solid experience with CI/CD tools; Proficient in scripting languages such as Bash, Python, or similar; Strong understanding of Git workflows and branching strategies; Fluent in both written and spoken English. Preferred Qualifications: Familiarity with Jenkins in addition to Azure DevOps; Knowledge of Azure IaaS, PaaS, and SaaS services; Experience with monitoring, logging, and alerting in cloud environments. Benefits:We value talent and commitment. Here’s what you can look forward to as part of our team:Competitive full-time salary;Private Health Coverage through the Company’s group program;Flexible Working Hours;Access to top-tier tools;Professional Development opportunities: language courses, specialized training, and continuous learning;Career Growth: collaborate with some of the industry's most innovative specialists;A dynamic work environment that promotes challenging goals, autonomy, and mentorship for both personal and company growth.If you’re ready for an exciting challenge and want to work with cutting-edge technologies while enjoying your role, we invite you to apply! Submit your detailed CV in English, referencing: (JDEN/02/26).Explore our other open vacancies by visiting our career section at www.eurodyn.com and follow us on Twitter (@EURODYN_Careers) and LinkedIn.European Dynamics (ED) (www.eurodyn.com) is a prominent European company specializing in Software, Information, and Communication Technologies, with an international footprint.
Optasia is a dynamic B2B2X financial technology platform that specializes in scoring, financial decision-making, disbursement, and collection. Our mission is to foster financial inclusion globally, as we are transforming the financial landscape.We are looking for passionate and energetic professionals who are results-oriented and possess a proactive mindset. Join our innovative team of like-minded individuals dedicated to delivering cutting-edge solutions in an exciting environment. At Optasia, data is central to our growth strategy, and our Data Engineering team plays a vital role in our success through data-driven insights and decision-making.As an ML & Data Ops Engineer at Optasia, you will be pivotal in ensuring the availability and performance of our workflows. You will monitor and optimize our existing data system infrastructure, prioritize issue resolution, and promote a culture of continuous improvement. Your contributions will be essential in maintaining high service standards and reinforcing our commitment to client success.Key Responsibilities:Oversee daily monitoring of ML workflows, service alerts, and all data system infrastructure, including storage, applications, databases, and resources.Act as an escalation point for critical ML and data incidents, diagnosing issues and resolving or escalating as needed.Champion continuous integration, continuous delivery, and automation practices to facilitate seamless software transitions from development to production.Manage customer inquiries efficiently to ensure prompt responses and resolutions within defined SLAs.Encourage a culture of continuous improvement by identifying enhancements in processes, tools, and technologies.Conduct health and quality checks of ML and data workflows to ensure operational excellence.Collaborate with cross-functional teams including ML/Data Engineering, Algorithmic Trading, and System & Network Administration to resolve internal and client-related issues effectively.Develop training materials and deliver sessions, maintaining comprehensive technical documentation.
Join Optasia, a pioneering B2B2X financial technology platform that is revolutionizing financial inclusion through advanced scoring, decision-making, disbursement, and collection solutions. We are dedicated to changing the world of finance for the better.At Optasia, we thrive on innovation, and we are looking for passionate individuals who are results-oriented and eager to collaborate in a dynamic team environment. Data is the backbone of our growth strategy, and the Data Engineering team plays a crucial role in driving data-driven automated decision-making processes.We invite you to become a part of our expanding Data Engineering team as a Junior Data Engineer. In this role, you will have the opportunity to design and implement robust batch and streaming data pipelines, significantly contributing to our mission.Your ResponsibilitiesCollaborate with Data Architects, Machine Learning Engineers, and Data Analysts to design, deliver, and support the company's ETL and ML pipelines.Develop and maintain essential libraries for batch processing and large-scale data ingestion.Create and implement new processes to facilitate real-time data streaming from various sources.Enhance the efficiency and accuracy of data injection into our big data infrastructure.Explore and apply innovative data engineering patterns and technologies.Your QualificationsBachelor's or Master's degree in Computer Science, Informatics, or a related field.Understanding of data modeling, mining, and warehousing methodologies.Proficiency in at least one programming language, preferably Java, Scala, or Python.Solid SQL skills.Strong analytical abilities with meticulous attention to detail.A genuine enthusiasm for learning new technologies and working collaboratively with creative professionals.Preferred QualificationsPractical experience with Big Data technologies (e.g., Apache Spark, YARN, HDFS, MapReduce).Experience with NoSQL databases.Familiarity with mathematical modeling, algorithm development, and machine learning.Why Optasia?What we offer: Flexible hybrid working environment Competitive salary package Additional day off on your birthday Performance-based bonuses Comprehensive private health insurance All necessary tech gear to work efficientlyJoin our multicultural team at Optasia and be part of a unique and rewarding workplace!
About Satori Analytics Satori Analytics is based in Athens and delivers Data and AI solutions to global brands. The team works across the full data lifecycle, from ingestion to AI applications, and builds technologies for industries such as fintech, airlines, FMCG, retail, manufacturing, and financial services. With more than 100 technology professionals, Satori Analytics is driving data innovation in South-Eastern Europe and beyond. Role Overview: Junior AI Engineer This role focuses on designing and implementing AI workflows and models, with a strong emphasis on Python and large language models (LLMs). The Junior AI Engineer works closely with data scientists, developers, and domain experts to deliver scalable AI solutions and translate business needs into actionable outcomes. What You Will Do Design and implement AI workflows and models: Use Python and LLMs to build scalable solutions that connect AI/ML with software engineering. Collaborate with multidisciplinary teams: Work alongside data scientists, developers, and subject matter experts to move projects forward and share knowledge. Research and apply new techniques: Stay current on AI trends and incorporate emerging methods into your work. Translate business problems: Turn complex business challenges into practical ML/AI solutions, and communicate results clearly. Document your work: Keep thorough, clear records so projects remain reproducible and easy for teammates to understand. Location Athens, Attica, Greece
