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About The Dot Collective
We are a forward-thinking consultancy operating across the UK and EU, driven by engineering excellence and a commitment to empowering individuals to create meaningful impacts.
Our projects leverage the latest technology stacks and we adopt agile scrum methodologies to ensure efficiency and effectiveness in our deliverables.
About You
Are you enthusiastic about the power of data and its potential to transform businesses? Do you thrive on making significant contributions in a short time frame? If so, you may find your perfect role with us.
About The Dot CollectiveWe are a forward-thinking consultancy operating across the UK and EU, driven by engineering excellence and a commitment to empowering individuals to create meaningful impacts.Our projects leverage the latest technology stacks and we adopt agile scrum methodologies to ensure efficiency and effectiveness in our deliverables.About YouAre…
Join Sigma Software Group as a Senior/Principal Data Engineer, where you will play a pivotal role in designing and implementing data-driven solutions that power our innovative projects. Your expertise in data architecture, ETL processes, and big data technologies will be essential as you collaborate with cross-functional teams to deliver high-quality data products.
Role overview Fundraise Up seeks a Senior Data Engineer based in Poland for a remote position. The main focus is on building and refining data pipelines that help nonprofit organizations with their fundraising activities. The work involves making sure data is accessible, trustworthy, and prepared for analysis. What you will do Design and implement data pipelines tailored to business and product requirements Maintain and improve existing data systems to boost performance and reliability Promote data quality, integrity, and accessibility throughout the company Collaborate remotely with engineers and data scientists to create solutions for nonprofits Location and team This position is fully remote and open to candidates living in Poland. The Senior Data Engineer works as part of a distributed team of engineers and data scientists.
AWS Security Architect Are you passionate about IT security architecture and eager to make a real impact in your organization? If you want your work to transcend mere compliance and truly safeguard systems, this role is perfect for you. Your Responsibilities As the AWS Security Architect, you will take ownership of the IT security architecture. This involves designing, updating, and ensuring effective implementation across various systems and projects. Your weekly tasks may include: Evaluating risk analyses to verify the realism of threat scenarios and the robustness of proposed controls. Conducting proof of concept (PoC) tests on innovative security tools to determine their viability for integration. Ensuring that sensitive information is managed correctly across the bank's systems, including encryption and access controls. Implementing new security processes and solutions aligned with the organization's security strategy. Collaborating with cross-functional security teams at the group level. You will gain exposure to a broad technical landscape, including network security, cloud environments, application security, cryptography, and a variety of security tools such as SIEM, EDR, XDR, and more. If you enjoy working across multiple domains rather than focusing on a single area, you'll thrive in this role. Key Insights This position is not limited to advisory responsibilities; you will be hands-on, driving PoCs and evaluating solutions technically while actively participating in deployments. Strong communication skills to convey complex security concepts to both technical and non-technical audiences are essential.
QED AI is an innovative technology firm dedicated to enhancing public health and food security in Sub-Saharan Africa. By developing cutting-edge digital infrastructure and leveraging AI, we operate at the critical intersection of humanitarian aid and scientific research. Our initiatives include monitoring diseases such as HIV, malaria, and tuberculosis, as well as conducting nutrient analyses for crops and soils across various African nations. Our funding sources include prestigious philanthropic and governmental organizations such as the Global Fund, Gates Foundation, and the CDC.We are seeking a mid/senior Data Platform Engineer (Backend) to join our dynamic team in Warsaw. Ideal candidates will possess the following:Proven experience in designing and maintaining data pipelines utilizing ETL and/or ELT methodologies, with a critical eye on trade-offs rather than adhering to a single pattern.Solid understanding of data pipeline reliability, including concepts of idempotency, backfills, and the management of late or corrected data.Ability to structure data systems into distinct layers (e.g., raw, cleaned, curated) and articulate their varying functions and guarantees.Experience with making informed decisions between batch, micro-batch, and streaming methods based on latency, accuracy, and operational complexity.Strong foundation in software engineering principles, version control, writing clean code and tests, robust design, and a grasp of basic data structures and algorithms.Ability to conceptualize logical software architectures and communicate clearly, both verbally and in writing.Eagerness to engage with a diverse range of problems and technologies.Willingness to participate in regular design sessions, code reviews, and collaborate effectively within teams.Experience with UNIX-based or OSX-Darwin development environments.Working proficiency (≥C1) in English, both spoken and written (minimum typing speed of 45 words per minute).Interest in collaborating with individuals from different cultural backgrounds.Demonstrated emotional resilience and social intelligence.A genuine passion for your work and a generally optimistic outlook, while recognizing the value of constructive skepticism.Additional skills that are advantageous but not mandatory include:Understanding of analytical data modeling concepts, including hierarchical and dimensional modeling.
Join one of Poland's foremost telemedicine platforms as an AI Data Engineer, where you will be the architect of our analytics layer. Your role involves designing and implementing intelligent workflows that transform raw operational data into dynamic, self-validating reports. You will analyze business processes to determine which tasks can be automated using AI, then build and maintain these solutions. You'll be the driving force behind initiatives aimed at streamlining reporting, ensuring it aligns with AI capabilities, and shaping the future of our analytics.
Join Lingarogroup as an Azure Data Engineer and play a critical role in our data engineering and management team. In this full-time position, you will leverage Azure technologies to design, develop, and optimize data solutions that empower informed business decisions.
Join our dynamic team at Lingarogroup as a GCP Data Engineer! In this role, you will be responsible for designing, building, and maintaining scalable data pipelines on Google Cloud Platform. Your expertise will help drive data-driven insights and enhance our analytics capabilities.
Role Overview Miratech is hiring a Senior Data Engineer in Warsaw. This position focuses on designing and building data architectures and pipelines to support the company’s data initiatives. The Senior Data Engineer works closely with teams across the business to maintain data quality and improve accessibility, helping drive informed decisions throughout the organization.
Role overview CreatorIQ seeks a Senior Data Engineer in Warsaw with a focus on reporting. This role collaborates with teams across the company to strengthen data architecture and reporting systems. The work directly supports data-driven decisions at every level of the organization. What you will do Design and build data pipelines that power reporting and analytics Maintain and improve data quality throughout multiple systems Optimize the performance of reporting tools to ensure timely and accurate insights Impact Efficient analytics and reliable data are central to CreatorIQ’s business. The Senior Data Engineer’s contributions shape how teams access information and make decisions, directly influencing business outcomes.
Jobgether is looking for a Senior Data Engineer based in Poland. This position centers on designing and building data systems that support business decision-making and improve operational efficiency. Role overview The Senior Data Engineer will focus on creating and maintaining data architectures and pipelines. The work involves ensuring that data is accurate, reliable, and available for teams across the company. What you will do Design and implement data systems to support business insights Manage and optimize databases for performance and reliability Develop data processing solutions that maintain data quality Support data accessibility for a range of business needs Requirements Expertise in data architecture and database management Strong background in data processing techniques Ability to ensure data quality and accessibility
Addepar is hiring a Data Engineering Manager based in Poland. This position leads a team of data engineers responsible for building and maintaining the company’s data infrastructure. Role overview The Data Engineering Manager guides the team in developing scalable and reliable data systems. The work centers on optimizing existing infrastructure and supporting the company’s ability to meet client needs as they evolve. Collaboration This role works closely with colleagues across different functions. The goal is to deliver data solutions that help clients make informed decisions. What you will do Lead and mentor a group of data engineers Oversee development and maintenance of data infrastructure Drive improvements in system optimization and scalability Collaborate with cross-functional teams to deliver data solutions
Join our dynamic team as a Junior Data Engineer, where you will play a critical role in enhancing modern, real-time data processing capabilities. You will assist in transitioning existing data and ML workflows from batch processing to scalable streaming solutions. This position involves hands-on engineering, close collaboration with Data Scientists, and operational oversight for production data pipelines.Technology EnvironmentUtilization of advanced real-time data streaming technologies for ML model inference.Experience with distributed data processing frameworks that enable scalable, low-latency pipelines.Work with containerized workloads orchestrated in cloud-native environments.Employ monitoring and observability tools to ensure the reliability and performance of data pipelines.Engage with a Python-based ecosystem that supports ML model integration and lifecycle management.Key ResponsibilitiesTransform batch inference workflows into efficient streaming pipelines.Establish streaming semantics to replace batch windows, including micro-batching, windowing, and state management.Design Kafka topic structures, partitioning strategies, and consumer group patterns tailored for prediction workloads.Implement strategies for checkpointing, backpressure handling, and delivery guarantees.Package and version ML model artifacts for streaming jobs to facilitate safe rollouts and rollbacks.Optimize performance for throughput and latency through effective batching strategies and resource allocation.Deploy and manage streaming jobs with comprehensive monitoring and alerting.Integrate streaming outputs into downstream ETL/BI systems seamlessly.Collaborate with Data Scientists on CI/CD for streaming models while monitoring model performance and drift.Team & CollaborationEngage in a distributed delivery model closely coordinated with the central AI/BI team in Germany.Experience daily collaboration through MS Teams, Jira, and Confluence.Utilize Agile methodologies (Scrum/Kanban) within cross-functional squads.
Join our dynamic team at Devoteam as a Data Engineer specializing in Managed Data Services. In this role, you will work closely with data scientists and analysts to develop robust data pipelines, ensuring that our clients have access to clean, reliable data.The ideal candidate will possess strong programming skills, experience in cloud-based data solutions, and a passion for data management. You will be responsible for designing, implementing, and maintaining data architectures that support our strategic business goals.
About the Role inetum2 is looking for a Technical Leader Data Engineer in Warsaw. This position puts technical leadership at the center of data engineering projects, shaping solutions and guiding teams in a changing data landscape.
About SpotOnAt SpotOn, we are revolutionizing the restaurant technology landscape by empowering independent restaurants with cutting-edge tools that enhance their competitive edge. Our award-winning point-of-sale system, coupled with AI-driven profit enhancement tools, allows operators to optimize profits, streamline operations, and retain their top talent. Every solution we provide is supported by a dedicated team committed to the success of our restaurant partners.Recognized as the #1 Restaurant POS by G2 (Fall 2025), based on authentic user reviews.Rated the top POS for restaurants, bars, retail, and SMBs by Capterra users.Consistently awarded Great Places to Work and Built In’s Best Workplaces for multiple years.We pride ourselves on our fast-paced, passionate culture, where we advocate for independent restaurant operators to pursue their passion and thrive in their endeavors. If you are driven to make a meaningful impact and bring your unique blend of dedication and energy, SpotOn is the ideal environment for you.As a Senior Software Engineer on our Data and Reporting team, you'll play a vital role in designing, developing, and managing high-performance, scalable data systems and infrastructure. You will work closely with cross-functional teams—including product management and engineering leadership—to elevate existing platforms and devise innovative solutions for complex data-driven applications.Daily Responsibilities Include:Architecting, developing, and maintaining scalable software solutions for our reporting and analytics platforms.Designing and implementing data pipelines, ETL processes, and integrations utilizing technologies such as ClickHouse, Streamkap, PostgreSQL, Snowflake, MongoDB, Kafka, and AWS.Writing and optimizing SQL queries that drive merchant reporting outcomes and enhance database performance across large-scale, distributed systems.Contributing to the definition and refinement of system architectures, including strategies for cloud infrastructure and containerization.Implementing comprehensive data observability monitoring, logging, and alerting solutions using tools like Grafana, Metaplane, and OpenTelemetry.Mentoring junior and mid-level engineers to foster technical excellence and best practices.
Hello! We are Liven, creating a global ecosystem of self-regulation products that empower individuals to disengage from emotional autopilot and cultivate healthier relationships with themselves.Within our ecosystem, you will find:Self-discovery companion — an application embraced by over 2.5 million users, offering a space for personal exploration through AI coaching, mood tracking, auditory practices, and bite-sized learning.Online Coaching — sessions with certified experts to navigate complex situations.Supplements — for physical recovery and bodily support.We are on a continuous expedition with ambitious plans to expand our ecosystem.Liven is a company for the curious. We are driven by curiosity — an intrinsic desire to ask questions, dig deeper, and not shy away from the unknown.Our passion lies in creating products and solutions that genuinely help. Our curiosity and experimental culture exist to discover better ways to support individuals on their self-discovery journey.Currently, we are seeking a Data Engineer / Analytics Engineer at Liven.In this role, you will be responsible for establishing a robust data foundation for the company, designing storage architecture, and delivering high-quality, ready-to-use data to analytics teams.Challenges you will face include:— Seamlessly providing analytics teams across various business domains (marketing, product, operations) with necessary data through stable integrations (using Airbyte and custom solutions);— Organizing long-term DWH architecture (developing data layers, modeling, ensuring data integrity);— Developing and optimizing our ELT processes and data transformations within BigQuery using Dataform, as well as implementing robust process orchestration (with plans to transition to Airflow/Astronomer);What is important to us:— Excellent SQL knowledge and a deep understanding of modern data warehouse concepts;— Practical experience with cloud data ecosystems (ideally GCP, BigQuery) and data transformation tools (Dataform/dbt);— Strong analytical skills and a proactive approach to problem-solving.
Join exparteinc as a Lead Data Engineer in Warsaw and play a pivotal role in shaping our data architecture and engineering practices. You will lead a talented team to design, build and maintain scalable data solutions that empower our organization to make data-driven decisions. Your expertise in data modeling, ETL processes, and cloud technologies will be essential in driving our data strategy.
The Portfolio Data Engineer position at Addepar centers on shaping financial data into clear, useful insights. This work supports clients as they manage investments and make informed decisions. Role overview Collaboration is key in this role. The Portfolio Data Engineer works closely with teams from different areas to build and maintain data pipelines. These pipelines help ensure that financial data remains accurate and easy to access. What you will do Develop and refine data pipelines for financial datasets Work with colleagues across functions to align data solutions with business needs Focus on data accuracy and accessibility to support client investment management Location This position is based in Poland.
Vattenfall seeks a Data Engineer in Katowice to strengthen how data supports business decisions. This full-time position centers on developing and maintaining the company’s data infrastructure. Key responsibilities Design, build, and maintain data pipelines that move and transform information for business use Collaborate with teams from different functions to deliver dependable data solutions Contribute to the development and ongoing improvement of Vattenfall’s data ecosystem Location This role is based in Katowice.
About The Dot CollectiveWe are a forward-thinking consultancy operating across the UK and EU, driven by engineering excellence and a commitment to empowering individuals to create meaningful impacts.Our projects leverage the latest technology stacks and we adopt agile scrum methodologies to ensure efficiency and effectiveness in our deliverables.About YouAre…
Join Sigma Software Group as a Senior/Principal Data Engineer, where you will play a pivotal role in designing and implementing data-driven solutions that power our innovative projects. Your expertise in data architecture, ETL processes, and big data technologies will be essential as you collaborate with cross-functional teams to deliver high-quality data products.
Role overview Fundraise Up seeks a Senior Data Engineer based in Poland for a remote position. The main focus is on building and refining data pipelines that help nonprofit organizations with their fundraising activities. The work involves making sure data is accessible, trustworthy, and prepared for analysis. What you will do Design and implement data pipelines tailored to business and product requirements Maintain and improve existing data systems to boost performance and reliability Promote data quality, integrity, and accessibility throughout the company Collaborate remotely with engineers and data scientists to create solutions for nonprofits Location and team This position is fully remote and open to candidates living in Poland. The Senior Data Engineer works as part of a distributed team of engineers and data scientists.
AWS Security Architect Are you passionate about IT security architecture and eager to make a real impact in your organization? If you want your work to transcend mere compliance and truly safeguard systems, this role is perfect for you. Your Responsibilities As the AWS Security Architect, you will take ownership of the IT security architecture. This involves designing, updating, and ensuring effective implementation across various systems and projects. Your weekly tasks may include: Evaluating risk analyses to verify the realism of threat scenarios and the robustness of proposed controls. Conducting proof of concept (PoC) tests on innovative security tools to determine their viability for integration. Ensuring that sensitive information is managed correctly across the bank's systems, including encryption and access controls. Implementing new security processes and solutions aligned with the organization's security strategy. Collaborating with cross-functional security teams at the group level. You will gain exposure to a broad technical landscape, including network security, cloud environments, application security, cryptography, and a variety of security tools such as SIEM, EDR, XDR, and more. If you enjoy working across multiple domains rather than focusing on a single area, you'll thrive in this role. Key Insights This position is not limited to advisory responsibilities; you will be hands-on, driving PoCs and evaluating solutions technically while actively participating in deployments. Strong communication skills to convey complex security concepts to both technical and non-technical audiences are essential.
QED AI is an innovative technology firm dedicated to enhancing public health and food security in Sub-Saharan Africa. By developing cutting-edge digital infrastructure and leveraging AI, we operate at the critical intersection of humanitarian aid and scientific research. Our initiatives include monitoring diseases such as HIV, malaria, and tuberculosis, as well as conducting nutrient analyses for crops and soils across various African nations. Our funding sources include prestigious philanthropic and governmental organizations such as the Global Fund, Gates Foundation, and the CDC.We are seeking a mid/senior Data Platform Engineer (Backend) to join our dynamic team in Warsaw. Ideal candidates will possess the following:Proven experience in designing and maintaining data pipelines utilizing ETL and/or ELT methodologies, with a critical eye on trade-offs rather than adhering to a single pattern.Solid understanding of data pipeline reliability, including concepts of idempotency, backfills, and the management of late or corrected data.Ability to structure data systems into distinct layers (e.g., raw, cleaned, curated) and articulate their varying functions and guarantees.Experience with making informed decisions between batch, micro-batch, and streaming methods based on latency, accuracy, and operational complexity.Strong foundation in software engineering principles, version control, writing clean code and tests, robust design, and a grasp of basic data structures and algorithms.Ability to conceptualize logical software architectures and communicate clearly, both verbally and in writing.Eagerness to engage with a diverse range of problems and technologies.Willingness to participate in regular design sessions, code reviews, and collaborate effectively within teams.Experience with UNIX-based or OSX-Darwin development environments.Working proficiency (≥C1) in English, both spoken and written (minimum typing speed of 45 words per minute).Interest in collaborating with individuals from different cultural backgrounds.Demonstrated emotional resilience and social intelligence.A genuine passion for your work and a generally optimistic outlook, while recognizing the value of constructive skepticism.Additional skills that are advantageous but not mandatory include:Understanding of analytical data modeling concepts, including hierarchical and dimensional modeling.
Join one of Poland's foremost telemedicine platforms as an AI Data Engineer, where you will be the architect of our analytics layer. Your role involves designing and implementing intelligent workflows that transform raw operational data into dynamic, self-validating reports. You will analyze business processes to determine which tasks can be automated using AI, then build and maintain these solutions. You'll be the driving force behind initiatives aimed at streamlining reporting, ensuring it aligns with AI capabilities, and shaping the future of our analytics.
Join Lingarogroup as an Azure Data Engineer and play a critical role in our data engineering and management team. In this full-time position, you will leverage Azure technologies to design, develop, and optimize data solutions that empower informed business decisions.
Join our dynamic team at Lingarogroup as a GCP Data Engineer! In this role, you will be responsible for designing, building, and maintaining scalable data pipelines on Google Cloud Platform. Your expertise will help drive data-driven insights and enhance our analytics capabilities.
Role Overview Miratech is hiring a Senior Data Engineer in Warsaw. This position focuses on designing and building data architectures and pipelines to support the company’s data initiatives. The Senior Data Engineer works closely with teams across the business to maintain data quality and improve accessibility, helping drive informed decisions throughout the organization.
Role overview CreatorIQ seeks a Senior Data Engineer in Warsaw with a focus on reporting. This role collaborates with teams across the company to strengthen data architecture and reporting systems. The work directly supports data-driven decisions at every level of the organization. What you will do Design and build data pipelines that power reporting and analytics Maintain and improve data quality throughout multiple systems Optimize the performance of reporting tools to ensure timely and accurate insights Impact Efficient analytics and reliable data are central to CreatorIQ’s business. The Senior Data Engineer’s contributions shape how teams access information and make decisions, directly influencing business outcomes.
Jobgether is looking for a Senior Data Engineer based in Poland. This position centers on designing and building data systems that support business decision-making and improve operational efficiency. Role overview The Senior Data Engineer will focus on creating and maintaining data architectures and pipelines. The work involves ensuring that data is accurate, reliable, and available for teams across the company. What you will do Design and implement data systems to support business insights Manage and optimize databases for performance and reliability Develop data processing solutions that maintain data quality Support data accessibility for a range of business needs Requirements Expertise in data architecture and database management Strong background in data processing techniques Ability to ensure data quality and accessibility
Addepar is hiring a Data Engineering Manager based in Poland. This position leads a team of data engineers responsible for building and maintaining the company’s data infrastructure. Role overview The Data Engineering Manager guides the team in developing scalable and reliable data systems. The work centers on optimizing existing infrastructure and supporting the company’s ability to meet client needs as they evolve. Collaboration This role works closely with colleagues across different functions. The goal is to deliver data solutions that help clients make informed decisions. What you will do Lead and mentor a group of data engineers Oversee development and maintenance of data infrastructure Drive improvements in system optimization and scalability Collaborate with cross-functional teams to deliver data solutions
Join our dynamic team as a Junior Data Engineer, where you will play a critical role in enhancing modern, real-time data processing capabilities. You will assist in transitioning existing data and ML workflows from batch processing to scalable streaming solutions. This position involves hands-on engineering, close collaboration with Data Scientists, and operational oversight for production data pipelines.Technology EnvironmentUtilization of advanced real-time data streaming technologies for ML model inference.Experience with distributed data processing frameworks that enable scalable, low-latency pipelines.Work with containerized workloads orchestrated in cloud-native environments.Employ monitoring and observability tools to ensure the reliability and performance of data pipelines.Engage with a Python-based ecosystem that supports ML model integration and lifecycle management.Key ResponsibilitiesTransform batch inference workflows into efficient streaming pipelines.Establish streaming semantics to replace batch windows, including micro-batching, windowing, and state management.Design Kafka topic structures, partitioning strategies, and consumer group patterns tailored for prediction workloads.Implement strategies for checkpointing, backpressure handling, and delivery guarantees.Package and version ML model artifacts for streaming jobs to facilitate safe rollouts and rollbacks.Optimize performance for throughput and latency through effective batching strategies and resource allocation.Deploy and manage streaming jobs with comprehensive monitoring and alerting.Integrate streaming outputs into downstream ETL/BI systems seamlessly.Collaborate with Data Scientists on CI/CD for streaming models while monitoring model performance and drift.Team & CollaborationEngage in a distributed delivery model closely coordinated with the central AI/BI team in Germany.Experience daily collaboration through MS Teams, Jira, and Confluence.Utilize Agile methodologies (Scrum/Kanban) within cross-functional squads.
Join our dynamic team at Devoteam as a Data Engineer specializing in Managed Data Services. In this role, you will work closely with data scientists and analysts to develop robust data pipelines, ensuring that our clients have access to clean, reliable data.The ideal candidate will possess strong programming skills, experience in cloud-based data solutions, and a passion for data management. You will be responsible for designing, implementing, and maintaining data architectures that support our strategic business goals.
About the Role inetum2 is looking for a Technical Leader Data Engineer in Warsaw. This position puts technical leadership at the center of data engineering projects, shaping solutions and guiding teams in a changing data landscape.
About SpotOnAt SpotOn, we are revolutionizing the restaurant technology landscape by empowering independent restaurants with cutting-edge tools that enhance their competitive edge. Our award-winning point-of-sale system, coupled with AI-driven profit enhancement tools, allows operators to optimize profits, streamline operations, and retain their top talent. Every solution we provide is supported by a dedicated team committed to the success of our restaurant partners.Recognized as the #1 Restaurant POS by G2 (Fall 2025), based on authentic user reviews.Rated the top POS for restaurants, bars, retail, and SMBs by Capterra users.Consistently awarded Great Places to Work and Built In’s Best Workplaces for multiple years.We pride ourselves on our fast-paced, passionate culture, where we advocate for independent restaurant operators to pursue their passion and thrive in their endeavors. If you are driven to make a meaningful impact and bring your unique blend of dedication and energy, SpotOn is the ideal environment for you.As a Senior Software Engineer on our Data and Reporting team, you'll play a vital role in designing, developing, and managing high-performance, scalable data systems and infrastructure. You will work closely with cross-functional teams—including product management and engineering leadership—to elevate existing platforms and devise innovative solutions for complex data-driven applications.Daily Responsibilities Include:Architecting, developing, and maintaining scalable software solutions for our reporting and analytics platforms.Designing and implementing data pipelines, ETL processes, and integrations utilizing technologies such as ClickHouse, Streamkap, PostgreSQL, Snowflake, MongoDB, Kafka, and AWS.Writing and optimizing SQL queries that drive merchant reporting outcomes and enhance database performance across large-scale, distributed systems.Contributing to the definition and refinement of system architectures, including strategies for cloud infrastructure and containerization.Implementing comprehensive data observability monitoring, logging, and alerting solutions using tools like Grafana, Metaplane, and OpenTelemetry.Mentoring junior and mid-level engineers to foster technical excellence and best practices.
Hello! We are Liven, creating a global ecosystem of self-regulation products that empower individuals to disengage from emotional autopilot and cultivate healthier relationships with themselves.Within our ecosystem, you will find:Self-discovery companion — an application embraced by over 2.5 million users, offering a space for personal exploration through AI coaching, mood tracking, auditory practices, and bite-sized learning.Online Coaching — sessions with certified experts to navigate complex situations.Supplements — for physical recovery and bodily support.We are on a continuous expedition with ambitious plans to expand our ecosystem.Liven is a company for the curious. We are driven by curiosity — an intrinsic desire to ask questions, dig deeper, and not shy away from the unknown.Our passion lies in creating products and solutions that genuinely help. Our curiosity and experimental culture exist to discover better ways to support individuals on their self-discovery journey.Currently, we are seeking a Data Engineer / Analytics Engineer at Liven.In this role, you will be responsible for establishing a robust data foundation for the company, designing storage architecture, and delivering high-quality, ready-to-use data to analytics teams.Challenges you will face include:— Seamlessly providing analytics teams across various business domains (marketing, product, operations) with necessary data through stable integrations (using Airbyte and custom solutions);— Organizing long-term DWH architecture (developing data layers, modeling, ensuring data integrity);— Developing and optimizing our ELT processes and data transformations within BigQuery using Dataform, as well as implementing robust process orchestration (with plans to transition to Airflow/Astronomer);What is important to us:— Excellent SQL knowledge and a deep understanding of modern data warehouse concepts;— Practical experience with cloud data ecosystems (ideally GCP, BigQuery) and data transformation tools (Dataform/dbt);— Strong analytical skills and a proactive approach to problem-solving.
Join exparteinc as a Lead Data Engineer in Warsaw and play a pivotal role in shaping our data architecture and engineering practices. You will lead a talented team to design, build and maintain scalable data solutions that empower our organization to make data-driven decisions. Your expertise in data modeling, ETL processes, and cloud technologies will be essential in driving our data strategy.
The Portfolio Data Engineer position at Addepar centers on shaping financial data into clear, useful insights. This work supports clients as they manage investments and make informed decisions. Role overview Collaboration is key in this role. The Portfolio Data Engineer works closely with teams from different areas to build and maintain data pipelines. These pipelines help ensure that financial data remains accurate and easy to access. What you will do Develop and refine data pipelines for financial datasets Work with colleagues across functions to align data solutions with business needs Focus on data accuracy and accessibility to support client investment management Location This position is based in Poland.
Vattenfall seeks a Data Engineer in Katowice to strengthen how data supports business decisions. This full-time position centers on developing and maintaining the company’s data infrastructure. Key responsibilities Design, build, and maintain data pipelines that move and transform information for business use Collaborate with teams from different functions to deliver dependable data solutions Contribute to the development and ongoing improvement of Vattenfall’s data ecosystem Location This role is based in Katowice.
