Data Engineer

Data Engineer (Databricks Focus)

About the Role

We are seeking an experienced Data Engineer to join our growing data team and play a key role in modernizing our analytics platform. In 2026, we will be executing a large-scale migration and rehydration of ~500 existing PowerBI reports, including re-connecting and optimizing data sources in a new lakehouse environment.

Key Responsibilities

• Design, build, and maintain scalable data pipelines using Databricks (Delta Lake, Unity Catalog, Spark).


• Lead or significantly contribute to the migration and rehydration of approximately 500 PowerBI reports in 2026, including re-pointing and optimizing data sources.


• Implement and maintain CI/CD pipelines for data assets using Databricks Asset Bundles (DAB), GitHub Actions, and other modern DevOps practices.


• Collaborate with data analysts, BI developers, and business stakeholders to ensure data availability, performance, and reliability.


• Optimize ETL/ELT processes for performance, cost, and maintainability.


• Establish best practices for version control, testing, and deployment of notebooks, workflows, and Delta Live Tables.

Required Experience & Skills

• 4+ years of hands-on data engineering experience (5-7+ years of experience overall).


• Strong proficiency in  Python  and  SQL .


• Deep experience with  Databricks  (workspace administration, cluster management, Delta Lake, Unity Catalog, workflows, and notebooks).


• Proven track record implementing  CI/CD  for data workloads (preferably using  Databricks Asset Bundles  and  GitHub Actions ).


• Solid understanding of  Spark  (PySpark and/or Spark SQL).


• Experience with infrastructure-as-code and modern data DevOps practices.


• Relevant  certifications  strongly preferred:




• Databricks Certified Data Engineer Associate or Professional


• Azure Data Engineer Associate (DP-203) or equivalent AWS/GCP certifications

Nice-to-Have / Bonus Skills

• Experience extracting data from  SAP/HANA  or  S/4HANA  systems (via ODP, CDS views, SDA, etc.).


• Previous large-scale PowerBI migration or re-platforming projects.


• Familiarity with Databricks SQL warehouses, Serverless, or Lakehouse Monitoring.


• Experience with dbt, Delta Live Tables, or Lakeflow.

If you have strong Databricks + CI/CD + Asset Bundles experience and are excited about transforming a large PowerBI footprint into a modern Lakehouse architecture, you’re a good fit.