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

cloud platforms

(AWS, Azure, or GCP). Strong problem-solving skills and ability to work in cross-functional teams. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

TPBN1_UKTJ