Data Engineer II

Nium is a pioneering global infrastructure firm dedicated to transforming real-time cross-border payments. Established with the vision to create the payment solutions of the future, we are constructing a programmable, borderless, and compliant layer for money movement that facilitates transactions among individuals, businesses, and intelligent systems. Our p…

Join our dynamic team at ComeOn Group as a Data Engineer specializing in Data Science. In this role, you will leverage your expertise in data engineering to develop robust data pipelines and analytical solutions that drive business insights and support data-driven decision-making. You will work closely with data scientists and other stakeholders to ensure data accessibility and reliability.

Role OverviewJoin a dynamic team at Ballinger & Co. as a Quantitative Data Engineer, where you will be pivotal in developing and optimizing our Risk data infrastructure. Your primary objective will be to enhance risk reporting processes across the organization, minimizing reliance on manual spreadsheets and ensuring reliable, auditable management information (MI).Key ResponsibilitiesRisk Data Infrastructure: Architect and sustain the risk data warehouse and marts, ensuring seamless integration of critical data sources such as trading, finance, and operational metrics.Data Pipelines & Controls: Develop ETL/ELT processes with comprehensive monitoring, logging, access controls, and data quality checks to ensure data integrity and reliability.Data Model Adaptation: Continuously refine the canonical data model to align with evolving business needs.Reporting Automation: Streamline regular MI reports, including mark-to-market and daily reports, while providing self-service dashboard capabilities.Governance & Documentation: Ensure all metric definitions and documentation are maintained, making MI regulator and audit ready.Collaborative Delivery: Translate risk requirements into innovative data products while managing project backlogs and engaging stakeholders effectively.Quantitative Risk Modelling: Design and sustain quantitative models to generate outputs pertinent to liquidity and risk management.Key DeliverablesComprehensive risk data warehouse/marts along with documented datasets and scheduled pipelines featuring alerts.Automated MI packs and dashboards equipped with reconciliation checks.Thorough data dictionary, lineage, and access controls, with a plan to reduce manual reporting.

Join Our Innovative Team as a Data Engineer! This position plays a vital role in crafting and enhancing our data architecture to meet evolving business demands. You'll be at the forefront of designing new data pipelines, maintaining platforms that facilitate data streaming, and ensuring efficient batch and real-time data loading and visualization. Your Responsibilities Will Include: Continuously improving our existing data platform. Creating processes for data ingestion from Kafka, APIs, and databases utilizing AWS MSK Connect. Developing and maintaining real-time data processing applications with frameworks such as Spark Structured Streaming and Kafka Streams. Transforming data streams to optimize usability. Engaging in data modeling practices adhering to industry standards like Inmon, Kimball, and Data Vault. Ensuring data quality through consistency and accuracy checks. Staying updated on the latest technologies and methodologies to enhance our data platform. Applying a problem-solving mindset to troubleshooting and incident management. Taking full ownership of assigned projects and tasks while collaborating effectively within a team. Documenting processes and conducting knowledge-sharing sessions. What We Seek in You: Essential Qualifications: Proven experience with modern cloud database technologies such as Snowflake. Proficiency in orchestrating data pipelines using Airflow. Hands-on experience with AWS Glue. Familiarity with Apache Iceberg. Strong skills in SQL and data integration tools. Proficiency in programming languages such as Python or Scala. Knowledge of AWS services including S3, Lambda, API Gateways, DMS, RDS. Development experience in both Microsoft and Linux/Cloud environments. Exceptional analytical and problem-solving skills.

Join Our Team!Are you a driven and detail-focused Data Operations Engineer ready to take your career to the next level? At Betsson Group, we are on the lookout for a dedicated individual to be the frontline support for our data operations, ensuring exceptional data integrity and dependability. You'll engage in active monitoring, incident resolution, and data requests while continuously enhancing our data processes and systems. Your Responsibilities Include:Actively monitor systems for anomalies and provide first-line support for data-related incidents, swiftly resolving issues as they emerge.Conduct thorough investigations into data quality, pinpointing discrepancies and collaborating with teams to implement corrective measures.Manage incoming data requests from stakeholders, ensuring prompt and accurate information delivery.Collaborate on data engineering initiatives to enhance existing workflows and develop new solutions for improved efficiency.Engage in incident monitoring and resolution, escalating complex issues to second-line support when necessary.Identify and implement process improvements in data engineering tasks.Communicate effectively with team members and stakeholders to align on data expectations and outcomes.

Join the innovative United Data Team at Entain CEE as a mid-level or senior Data Engineer. Collaborate with a diverse, international group of data professionals dedicated to enhancing our cutting-edge cloud-based data platform and the data services that drive our products and operations.Your role will involve designing and constructing scalable data pipelines, data models, and integrations to ensure consistent, production-ready data systems that facilitate informed decision-making and foster data-driven growth across our brands.Your Responsibilities:Develop and maintain data ingestion and transformation pipelines (both batch and streaming) across various brands.Engage with stakeholders within data engineering, analytics, and data science to guarantee the reliability and quality of data for business use.Utilize modern data tools and frameworks, including GCP, Confluent Cloud (Kafka), Dataform, Airflow, Terraform, and GitLab, to produce high-quality data systems.Assist in integrating multiple source systems using Debezium (CDC) and streaming technologies.Work in an agile environment centered on continuous improvement, automation, and effective delivery.Key Responsibilities:Design, deploy, and monitor scalable data pipelines for both real-time and batch processing.Create and execute data models and warehouse structures within BigQuery.Oversee inbound and outbound integrations across systems and brands.Participate in code reviews, testing, and peer learning to uphold engineering best practices.Establish and manage monitoring and alerting systems for pipeline health and data quality.Collaborate closely with Analytics, Data Science, and Finance teams to derive actionable insights from data.Continuously enhance the performance and reliability of data services.Document data flows, schemas, and system architecture.

About Rush Street Interactive Rush Street Interactive (NYSE: RSI) operates leading online casino and sports betting brands, including BetRivers.com, PlaySugarHouse.com, and RushBet.co. The company focuses on integrating online, social, and land-based gaming to create engaging experiences for players. Role Overview The Director of Data Engineering leads and grows the Data Engineering and Analytics Engineering teams. This leader takes full responsibility for the post-application data platform, shaping its architecture, governance, and day-to-day operations. The position ensures high engineering standards and steers the organization toward a resilient, auditable framework for data products. Key Responsibilities Oversee and expand Data Engineering and Analytics Engineering teams. Own the architecture, governance, and operational model of the data platform. Modernize and improve the Snowflake-based data stack. Develop and manage scalable distributed data processing and real-time streaming systems. Enable event-driven data products for operational applications. Maintain engineering standards and ensure the data ecosystem is production-ready, scalable, and compliant. Work closely with Product, Software Engineering, Data Product Managers, Marketing, Compliance, Finance, and Data Science teams. Location This position is open to candidates based in Estonia, Malta, or Serbia.

Are you ready to take your data engineering skills to the next level? Join us at ComeOn Group, where you will play a pivotal role in designing, building, and maintaining our near-real-time and batch data flows. As a Data Engineer, you will be the driving force behind the data engine that supports our regulatory reporting, analytics, and machine learning initiatives. This is a challenging opportunity with tremendous potential for professional growth. If you are passionate about creating intricate and essential systems, we encourage you to apply!Key Responsibilities:Design, develop, and maintain resilient and scalable streaming and batch data pipelines in a modern cloud environment.Map and analyze data lineage from source systems to target environments.Implement advanced data engineering best practices to ensure the quality and consistency of our vital data assets.Troubleshoot and resolve complex issues with data feeds, ensuring continuous availability.Establish and maintain effective communication between business and technical teams regarding the strategic utilization of company data.Take full ownership of the development lifecycle while demonstrating the ability to work independently when required.

Join Nium, the global leader in real-time cross-border payments, as we redefine the future of money movement. Our mission is to create a programmable, borderless, and compliant infrastructure that accelerates transactions for banks, fintech companies, payroll services, travel platforms, and marketplaces across the globe.With co-headquarters in San Francisco and Singapore and a presence in 14 markets, our diverse team spans over 20 countries. We pride ourselves on a culture of simplicity, improvement, and collaboration. Having achieved record growth in 2025, we are now entering an exciting new phase of our journey.We facilitate the movement of over $50 billion annually across more than 190 countries and 100 currencies, ensuring fast payouts to various financial accounts and supporting local collections in 35 markets. Our robust operations are backed by licenses in over 40 markets.Nium offers ambitious individuals the chance to shape the future of global finance at scale. This summer, we invite a curious and eager-to-learn intern to join our data engineering team. This role is designed for those who want to immerse themselves in real-world data engineering experiences.As a Data Engineering Intern, you will collaborate closely with our data engineering team, contributing to the design and maintenance of the systems that underpin our data platform. Expect hands-on engagement with modern data technologies and practical datasets.

As the pivotal leader in our organization, the Team Lead Data Engineering (m/f/x) is responsible for architecting and managing our vital data services and platforms (including Data Lake and DWH). Your role ensures that our business has reliable data to inform every strategic decision. You will guide, coach, and mentor a team of Data Engineers, fostering the development of high-quality, scalable solutions that align with our corporate goals. Close collaboration with stakeholders across Product, Operations, and Compliance is essential to ensure that our data strategy effectively and securely supports our competitive edge.Your responsibilities:Lead, inspire, and mentor our Data Engineering team, cultivating a vibrant, collaborative, and high-performance culture.Oversee the complete data supply chain—from the design to the operation of critical data pipelines (both batch and real-time), ensuring optimal scalability, performance, and compliance with SLAs.Serve as the ultimate quality assurance gatekeeper, ensuring end-to-end data quality, accuracy, and consistency across our Data Platform to facilitate reliable reporting and precise analytics while adhering to all regulatory requirements.Translate complex business needs into actionable technical specifications and delivery plans, strategically partnering with Product Managers, Architects, and other stakeholders.Align all data engineering practices with corporate standards, driving security, compliance, and operational excellence throughout all processes.Champion automation, optimization, and innovation within data processing to enhance performance and maximize cost-effectiveness.Contribute actively to the Data Department's roadmap and objectives, providing leadership support for strategic initiatives and continuous improvement efforts.

Your playing field:Design and develop robust data pipelines and architectures for both batch (ELT) and real-time processing.As we evolve into a more data-centric organization, you will compile extensive and intricate data sets that satisfy both functional and non-functional business needs.Innovation is at our core; you will identify, design, and implement enhancements to internal processes, automate manual workflows, and optimize our data delivery mechanisms.Engage in constructing the infrastructure necessary for efficient extraction, loading, and transformation of data from diverse sources utilizing SQL and AWS 'big data' technologies.Your contributions will enable us to derive insights that transform our approach to sports betting, allowing us to acquire customers effectively and enhance operational efficiency.Work collaboratively with stakeholders including data architects, executives, product managers, and IT personnel throughout the project lifecycle.

Role overview Betsson is hiring a Data DevOps Team Lead in Malta. This position manages data operations and development projects, with a focus on maintaining and improving data infrastructure. The team lead ensures systems run reliably and perform well, while guiding and supporting a group of DevOps professionals. What you will do Oversee the company's data infrastructure Monitor and improve system reliability and performance Mentor and support a team of DevOps engineers Location This role is based in Malta.

We are seeking a dynamic and experienced Team Lead for Data Platform & Infrastructure to join our innovative team at Tipico. In this pivotal role, you will drive the strategy and implementation of our data infrastructure, ensuring that our data platform meets the needs of our business and customers.Your leadership will be key in guiding a team of talented professionals, fostering a collaborative environment where creativity and problem-solving thrive. You will be responsible for overseeing the architecture, development, and maintenance of our data systems, ensuring reliability, scalability, and performance.

Join Tipico as a Data Governance Specialist and empower our data-driven initiatives! In this pivotal role, you will ensure the integrity, quality, and security of our data assets. You will collaborate with cross-functional teams to develop and implement data governance frameworks that align with our business goals.

About UsTerry Soot Management Group (TSMG), established in 2017 in Europe, specializes in field data collection where automation is not feasible. Our team captures intricate details by counting features, photographing locations, recording videos, and gathering audio. With operations across Europe and North America, we are poised to tackle new challenges in data collection.Project OverviewJoin our initiative to gather high-quality visual data of streets, landmarks, and public spaces throughout EU countries. Utilizing vehicles fitted with detachable 360° cameras and LIDAR technology, our drivers will document comprehensive imagery of their surroundings. This invaluable data will be processed and utilized to enhance one of the leading online mapping platforms globally.As a data collector, you will adhere to assigned routes, focusing on public streets, commercial zones, and notable landmarks. For optimal image quality, some locations may need to be revisited under favorable weather conditions.The duration of the project will depend on the specific requirements of each targeted area, typically involving 3 to 6 months of active engagement.Working Hours: Full-time commitment during standard business hours (8 AM - 7 PM).Hiring Process: Candidates will undergo a safety driving test, a recruitment interview, and an onboarding process.

Join Our Team as a Driver / Data CollectorAt Terry Soot Management Group (TSMG), established in 2017, we pride ourselves on being at the forefront of field data collection across Europe. Our mission is to gather essential data where automation falls short, enabling better decision-making through detailed visual documentation. Our dedicated teams operate across Europe and North America, embracing new challenges to provide high-quality data collection services.Project OverviewWe are embarking on an exciting project to capture detailed visuals of streets, significant points of interest, and public spaces throughout various EU countries. As a driver, you will operate vehicles equipped with advanced 360° cameras and lidars, meticulously documenting your surroundings. The data collected will be stored on onboard SSD drives and utilized to improve one of the world's premier online mapping services.You will be responsible for following predetermined routes, concentrating on public streets, commercial districts, and notable landmarks. To ensure optimal image quality, certain areas may require revisits during favorable weather conditions.The duration of this project will vary depending on the specific data collection requirements, with assignments typically lasting between 3 to 6 months.Work Schedule: Full-time commitment during standard business hours (8 AM - 7 PM).Recruitment Process: Candidates will undergo a safety driving test, a recruiter interview, and an onboarding process.

Join our innovative team at Lilt Production, where we leverage cutting-edge AI technology to transform and enhance data solutions. As an AI Data Specialist fluent in Maltese, you will play a crucial role in developing and training our AI models, ensuring accuracy and efficiency in data processing and analysis. This is a fully remote position that offers the flexibility to work from anywhere.

Join our dynamic team at tsmg as a Driver / Data Collector. In this role, you will be responsible for collecting vital data while ensuring timely transportation to various project sites. Your attention to detail and ability to work independently will be key to your success.

Your Role in Our TeamIdentify, document, and manage essential data domains, assets, and critical data elements within the organization.Establish clear data ownership, stewardship, and accountability across business and technical teams.Oversee and maintain core governance tools such as the data catalog, lineage, business glossary, and data quality frameworks.Conduct engaging data governance training sessions to promote the importance of high-quality data.Facilitate governance forums and working groups to address data quality challenges and implement enhancements.Lead initiatives in data quality management, metadata management, and the adoption of data catalogs.Implement and enforce data governance policies throughout the complete data lifecycle.Collaborate with cross-functional teams to clearly define data roles, responsibilities, and governance practices.Partner with the Head of Data to execute the data governance strategy effectively.Mentor and develop your team, ensuring strong cooperation and consistent progress towards our data excellence objectives.

Your RoleAs a Machine Learning Engineer at Betsson, you will be instrumental in crafting, developing, and deploying cutting-edge machine learning models that elevate our product offerings. Collaborating with diverse teams, you will tackle intricate challenges and promote the integration of machine learning solutions throughout the organization.Key Responsibilities:Design, implement, and refine machine learning models to address complex business challenges.Manage the complete machine learning lifecycle, from data acquisition and preprocessing to model deployment and performance monitoring.Collaborate closely with data scientists, software engineers, and product managers to embed machine learning models into production systems.Stay informed about the latest trends and advancements in machine learning, applying them to enhance model performance.Produce and uphold high-quality, production-ready code for machine learning services.Provide mentorship and guidance to junior colleagues, fostering a culture of ongoing learning and development.