Data Engineer

• Help design, build and continuously improve the clients online platform.
• Research, suggest and implement new technology solutions following best practices/standards.
• Take responsibility for the resiliency and availability of different products.
• Be a productive member of the team.

• 5+ years of professional data engineering experience working with Big Data in enterprise IT environments.
• Collaborate with project managers, resource managers, IT teams, data scientists, and analysts to gather requirements, define project scope, and deliver reliable, model-ready datasets.
• Design, build, and maintain ETL pipelines for ingesting and transforming data into a cloud-based R&D data lake.
• Develop reusable data models and libraries to streamline common analytics and ETL use cases.
• Implement data quality through validation, monitoring, and anomaly detection mechanisms.
• Embed security and compliance through RBAC, data lineage, auditing, and regulatory standards.
• Optimize ETL pipelines for performance, scalability, and cost efficiency.
• Automate deployments and operations using CI/CD, Infrastructure as Code, and ETL jobs.
• Monitor and troubleshoot production pipelines, resolve data and platform issues, and continuously improve reliability.
• Master’s degree or equivalent practical experience in Data Engineering, Software Engineering, Computer Science, or a related technical field.
• Hands-on experience with AWS data lake services, including AWS Glue, S3, Athena, and Lake Formation, covering cataloging, governance, ETL orchestration, and secure data access.
• Extensive experience designing and implementing ETL pipelines in Databricks, including migration of cloud-based data lakes and ETL workflows to Databricks.
• Strong experience with Delta Lake, including Delta table design, performance optimization, schema evolution, and versioned data management.
• Strong experience with cloud-native engineering across AWS/Azure, with a primary focus on AWS data lake environments.
• Hands-on experience with Infrastructure as Code, CI/CD, DevOps/MLOps practices, AWS CDK, Ansible, and GitLab CI.
• Advanced proficiency in Python and SQL, with the ability to develop robust, maintainable, and reusable code frameworks.
• Strong knowledge of observability, data lineage, data quality frameworks, metadata management, and secure data access patterns.
• Expertise in cluster and job tuning, job orchestration, storage optimization, and cost management in large-scale data lake environments.
• Familiarity with Agile and Scrum methodologies, including sprint planning, backlog refinement, iterative delivery, and cross-functional collaboration.
• Strong communication, stakeholder management, problem-solving, and collaboration skills.

BenefitsFixed Term Employment Contract Work-Life Balance Flexible Work Mode

What GeekSoft Consulting Offers

• International, collaborative consulting culture with clear career development paths.
• Comprehensive Dutch benefits package emphasizing well-being, mobility, and career growth.