Senior Data Engineer (Søborg, Denmark)

Job summary

An experienced Senior Data Engineer / Databricks Developer is sought to design and implement a scalable Data Quality Monitoring capability using Databricks. The role emphasizes strong technical ownership and collaboration with both technical and business stakeholders to enhance data quality in critical business domains.

Responsibilities

• Design and implement a Databricks-native Data Quality Monitoring framework.
• Configure and implement DQX-based data quality rules.
• Develop data pipelines and models for monitoring and reporting.
• Create dashboards and trending views for business users and data owners.
• Link data quality rules, data usage, and critical data points.
• Document technical design, rule logic, and operating model.
• Support the scaling of the solution to additional data domains.
• Collaborate closely with data owners, business users, and technical stakeholders.

Qualifications

Nice-to-Have

Personal Profile

The ideal candidate is proactive, structured, and adaptable to evolving requirements, capable of engaging with both technical and business users to develop practical, scalable solutions.

• Strong hands-on experience with Databricks.
• Proficient in Spark, SQL, Delta Lake, and Python.
• Experience in designing and implementing data pipelines / ETL-ELT.
• Familiarity with data quality frameworks, preferably DQX.
• Understanding of data governance and rule-based data quality monitoring.
• Ability to translate business requirements into scalable technical solutions.
• Experience in complex enterprise environments.
• Capability to work independently and take end-to-end ownership.
• Experience in regulated or compliance-heavy environments.
• Knowledge of clinical operations, trial operations, or life sciences data.
• Familiarity with business-facing dashboards and data quality reporting.
• Experience with Azure DevOps / CI-CD.
• Understanding of integrations, APIs, or downstream system connectivity.
• Knowledge of Snowflake and Veeva or related clinical systems.