Data Engineer - Databricks

We are looking for a Data Engineer with strong Databricks experience to join our growing Data & AI Practice. The role involves migrating client data estates from legacy platforms to Databricks, building scalable and metadata-driven data pipelines, implementing Unity Catalog governance, managing CI/CD processes, and supporting Databricks platforms in production.

You will work closely with client stakeholders and senior engineers to deliver high-quality data solutions, contribute to technical documentation and code reviews, and help build reusable Databricks engineering assets.

Requirements

Bachelor's degree in Computer Science, IT, or a related discipline. 2–5 years of Data Engineering experience, including at least 18 months of Databricks experience. Databricks Certified Data Engineer Associate certification; Professional certification preferred. Strong expertise in Py. Spark, Advanced SQL and Delta Lake.

Experience with Medallion Architecture, Data Modeling, Auto Loader, Delta Live Tables/Lakeflow and Databricks Workflows. Proficiency in software engineering practices, Git-based development and cloud platforms such as Azure or AWS. Experience in data migration, metadata-driven pipelines, Unity Catalog, CI/CD and Databricks Asset Bundles.

Knowledge of Databricks SQL, Structured Streaming, automated testing, performance optimization, MLflow and Generative AI is desirable. Strong analytical, problem-solving, communication and collaboration skills. Ability to take ownership of delivery and troubleshoot production data platforms.

Benefits

Open and transparent work culture Opportunity to work on global client projects Flexible work-from-home environment Competitive compensation and benefits Collaborative and learning-focused culture Sponsored Databricks certifications Exposure to end-to-end Databricks implementations Clear career growth and development path