Senior Data Engineer
On-siteCopenhagen, Capital Region, Denmark
Job Summary
Design, build, and maintain scalable data pipelines, ETL/ELT processes, and workflow orchestration supporting Open Finance analytics, reporting, and AI use cases. Partner with Product, Analytics, and Engineering teams to define data capture requirements and ensure solutions meet high standards for data quality, security, and regulatory readiness. Contribute to technical design reviews, code reviews, and the creation of operational runbooks while performing complex troubleshooting and root cause analysis on production data solutions. Mentor junior engineers and drive continuous improvement of engineering practices across the team.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
- Strong familiarity with BI and analytics tools such as Tableau, PowerBI, Databricks SQL and Dashboarding capabilities, semantic data models/layers, and self-service reporting frameworks to support analytics, operational reporting, and business intelligence use cases
- Advanced technical expertise in one or more of the following SQL, Python, Spark, Kafka, and Databricks, with the ability to design, build, and optimize scalable data engineering solutions
- Deep experience with enterprise data platforms, cloud-based data platforms, lakehouse architectures, modern data warehousing solutions, and RDBMS technologies, including Snowflake and SQL-based environments
- Experience designing and supporting ETL/ELT pipelines, workflow orchestration, and data integration frameworks
- Experience with dbt/DBT Cloud for SQL-based data transformation, reusable data modeling, data quality testing, documentation, and creation of trusted datasets for analytics and business intelligence use cases
- Strong knowledge of data modeling, data integration, distributed data processing, and scalable data architecture patterns
- Knowledge of data governance, security, privacy, and regulatory compliance controls
- Databricks certifications such as Databricks Certified Data Engineer Associate, Databricks Certified Data Engineer Professional, or equivalent cloud data engineering certifications are preferred
- Experience supporting AI/ML and advanced analytics initiatives
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