Descripción de la oferta
Role : Senior Data Engineer ( 4 positions) Location : Remote Type : Permanent Salary : 35-50K euros gross per year We are seeking Expert Data Engineers to join our team, responsible for designing, developing, testing, and deploying robust data solutions. The ideal candidates will have hands-on experience with AWS data services such as S3, Glue, Athena, EMR, EC2, and Lambda, and a strong understanding of modern data architectures including data lakes, lake houses, and data mesh. They will collaborate with cross-functional teams to deliver scalable data pipelines, data warehouses, and data marts, ensuring data quality, security, and compliance. 4 Expert Data Engineers Job Responsibilities / Role • Design, develop, test, and deploy data pipelines and data platforms using AWS services • Implement and maintain data lake, lake house, or data mesh architectures • Collaborate with data engineers, analysts, and DevOps teams to deliver business solutions • Ensure compliance with data governance, security, and records management policies • Troubleshoot and resolve data-related issues, supporting change management processes • Demonstrate ownership of projects from inception to delivery Mandatory Skills • In-depth understanding of when to use a range of tools as opposed to limited practical experience in a specific set of tools: • Experience level to be a minimum of 3+ working years in cloud • Spark/Scala • Python • SQL • AWS expertise in services such as S3, Glue, Athena, EMR, EC2, and Lambda • ETL design and data modeling • Analytical thinking: ability to anticipate all edge cases and scalable issues in the future • Problem-solving skills • Attention to detail Nice To Have • Familiarity with CI/CD tools (e.g., GitHub Actions) • Experience with Apache Iceberg or similar table formats • Exposure to data quality frameworks (e.g., Great Expectations, Deequ) • Knowledge of Bash and HCL would be an added advantage • Strong communication skills • Proactive and self-motivated • Commitment to continuous learning and improvement • University degree in technology, preferably in computer science
