Senior Databricks Engineer - Oxfordshire Hybrid -£Competitive

Jefferson Frank; Banbury; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading data engineering consultancy is seeking an experienced Databricks Engineer for a hybrid role based in Oxfordshire. In this hands-on position, you will design and deliver scalable data solutions while mentoring a team of Data Engineers. Key responsibilities include building and maintaining data pipelines, optimizing workflows, and implementing data quality processes. Ideal candidates should have strong experience with Databricks and proficiency in Python, Spark, and SQL. Apply today to make an impact in the data engineering field.

Benefits

Competitive salary

Benefits

Qualifications

• Strong experience with Databricks is essential.
• Must have proficiency in Python, Spark, and SQL.
• Experience with cloud platforms is preferred.

Responsibilities

• Build and maintain scalable data pipelines and ETL processes using Databricks.
• Collaborate on data architecture and translate designs into build plans.
• Deliver large-scale data workflows and optimise for performance.
• Implement data quality and validation processes.

Skills

Strong experience with Databricks

Proficiency in Python

Experience with Spark

Experience with SQL

Experience with cloud platforms

Knowledge of pipeline tools

Excellent problem-solving skills

Leadership skills

Job description

Databricks Engineer

Location: Oxfordshire (Hybrid)

Salary: £Competitive + Benefits

Are you an experienced Databricks Engineer looking for your next challenge?

The Role

This is a hands‑on technical role with leadership responsibilities. You'll design and deliver scalable data solutions, work closely with data leaders on architecture and strategy, and mentor a small team of Data Engineers to ensure best practices.

Key Responsibilities

• Build and maintain scalable data pipelines and ETL processes using Databricks
• Collaborate on data architecture and translate designs into build plans
• Deliver large-scale data workflows and optimise for performance
• Implement data quality and validation processes

What We're Looking For

• Strong experience with Databricks
• Proficiency in Python, Spark, and SQL
• Experience with cloud platforms
• Knowledge of pipeline tools
• Excellent problem‑solving and leadership skills

If you're passionate about data engineering and want to make an impact, apply today!