Data Engineer/ETL Engineer

of large volumes of structured and unstructured data, ensuring scalability and efficiency. Migration Execution & Validation: Lead the execution of data migrations, including data extraction, transformation, schema mapping, validation, and cutover, ensuring data integrity and consistency. Collaboration & Stakeholder Engagement: Work closely with product, technology, delivery, and compliance teams to gather migration requirements, align on data definitions, and ensure successful migration outcomes. Automation & Optimization: Implement automation solutions for ETL/migration processes to improve efficiency and reduce manual intervention. Monitoring & Troubleshooting: Monitor and troubleshoot migration pipelines, addressing issues promptly to ensure smooth operations. Documentation & Process Improvement: Document migration processes, contribute to process improvement initiatives, and ensure adherence to best practices. Technical Support & Incident Resolution: Provide technical support during incident resolution related to migration pipelines and data discrepancies. Agile Participation: Actively participate in all agile scrum meetings such as daily standups, refinement sessions, and retrospectives. Innovation & Continuous Improvement: Propose and implement new ideas to improve existing products and services, fostering a culture of innovation. Code Review & Mentorship: Perform code reviews for other engineers, ensuring code quality and knowledge sharing within the team. Stakeholder Communication: Effectively communicate with respective stakeholders, ensuring that all information is transmitted correctly and to the right audience. Requirements Essential Skills ~ Bachelor's/Master's in Computer Science, Engineering, or related field. ~3+ years of experience in data engineering, ETL processes, or data migration. ~ Strong SQL skills and experience working with structured and unstructured datasets. ~ Knowledge of data governance, compliance, and data quality assurance. ~ Solution-oriented mindset with the ability to troubleshoot and resolve issues. ~ Strong experience with Big Data and streaming technologies including ClickHouse, Kafka and NiFi ~ Strong knowledge of Microservices, APIs, GraphQL Preferred Skills Experience in the iGaming industry or regulated markets. Experience with automation of ETL/migration processes. Benefits Great career development opportunities Hybrid working model International Health Insurance Health and Wellbeing Package (350 EUR per year) Birthday Day Off Me Time - 1 day off per year J-18808-Ljbffr