Senior Data Engineer / Databricks Developer at Epico

Ballerup, Capital Region of Denmark, Denmark -

Full Time

Start Date

Immediate

Expiry Date

10 Sep, 26

Salary

0.0

Posted On

12 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, Spark, SQL, Delta Lake, Python, ETL-ELT, DQX, Data Quality Monitoring, Data Governance, Data Modeling, Azure DevOps, CI-CD, Snowflake, Veeva, API Integration, Dashboarding

Industry

Information Technology & Services

Description

We are looking for an experienced Senior Data Engineer / Databricks Developer to support the design and implementation of a scalable Data Quality Monitoring capability built natively on Databricks. The assignment focuses on creating a solution that enables business users and data owners to monitor, understand, and act on data quality in business-critical data domains. The role requires strong technical ownership, hands-on Databricks experience, and the ability to work with both technical and business stakeholders. Responsibilities As a Senior Data Engineer / Databricks Developer, you will contribute to: Design and implementation of a Databricks-native Data Quality Monitoring framework Configuration and implementation of DQX-based data quality rules Development of data pipelines and data models supporting monitoring and reporting Creation of dashboards and trending views for business users and data owners Linking data quality rules, data usage, and critical data points Documentation of technical design, rule logic, and operating model Supporting the scaling of the solution to additional data domains over time Working closely with data owners, business users, and technical stakeholders Requirements We are looking for a senior consultant with: Strong hands-on experience with Databricks Experience with Spark, SQL, Delta Lake, and Python Experience designing and implementing data pipelines / ETL-ELT Experience with data quality frameworks, preferably DQX Understanding of data governance, data ownership, and rule-based data quality monitoring Ability to translate business requirements into scalable technical solutions Experience working in complex enterprise environments Ability to work independently and take end-to-end ownership Nice-to-Have It is beneficial if the consultant also has experience with: Regulated or compliance-heavy environments Clinical operations, trial operations, or life sciences data Business-facing dashboards and data quality reporting Azure DevOps / CI-CD Integrations, APIs, or downstream system connectivity Snowflake Veeva or related clinical systems Personal Profile The consultant should be proactive, structured, and comfortable working in an environment where requirements may evolve. The person should be able to engage with both technical stakeholders and business users and help shape a practical, scalable solution rather than only implementing predefined tasks. Other Information Location: Søborg, Denmark Work arrangement: Onsite availability required Start date: 17 August 2026 End date: 16 February 2027 Workload: Full-time, 40 hours per week

Responsibilities

Design and implement a scalable, Databricks-native Data Quality Monitoring framework and DQX-based rules. Develop data pipelines, models, and dashboards to help business users monitor critical data domains.