Databricks Engineer

New Yesterday

Databricks Engineer
London- hybrid- 3 days per week on-site
6 Months +
UMBRELLA only- Inside IR35
Key Responsibilities
Design, develop, and maintain ETL/ELT pipelines using Airflow for orchestration and scheduling. Build and manage data transformation workflows in DBT running on Databricks. Optimize data models in Delta Lake for performance, scalability, and cost efficiency. Collaborate with analytics, BI, and data science teams to deliver clean, reliable datasets. Implement data quality checks (dbt tests, monitoring) and ensure governance standards. Manage and monitor Databricks clusters & SQL Warehouses to support workloads. Contribute to CI/CD practices for data pipelines (version control, testing, deployments). Troubleshoot pipeline failures, performance bottlenecks, and scaling challenges. Document workflows, transformations, and data models for knowledge sharing.Required Skills & Qualifications
3-6 years of experience as a Data Engineer (or similar). Hands-on expertise with: DBT (dbt-core, dbt-databricks adapter, testing & documentation). Apache Airflow (DAG design, operators, scheduling, dependencies). Databricks (Spark, SQL, Delta Lake, job clusters, SQL Warehouses). Strong SQL skills and understanding of data modeling (Kimball, Data Vault, or similar). Proficiency in Python for scripting and pipeline development. Experience with CI/CD tools (e.g., GitHub Actions, GitLab CI, Azure DevOps). Familiarity with ...
Apply
Location:
London
Salary:
£425 - £430 /day
Job Type:
FullTime
Category:
Engineering

We found some similar jobs based on your search