Data Engineer

Tenth Revolution Group
Banbury Civil Parish, United Kingdom
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 70K

Job location

Banbury Civil Parish, United Kingdom

Tech stack

ETL
Data Systems
Python
SQL Databases
Spark
Data Management
Data Pipelines
Databricks

Job description

Data Engineer - Hybrid (Oxfordshire) - Databricks, Python, Spark, SQL - up to £70k + Benefits

Why this company?

You'll be joining a growing organisation where data is at the heart of every strategic decision. This isn't a place where you're just maintaining pipelines, you'll help shape their entire data landscape. They're investing heavily in modern data platforms, encouraging innovation, and giving engineers real ownership over architecture, tooling, and best practices. If you want autonomy, a voice in technical direction, and the chance to build things properly, you'll feel at home here.

You'll work with:

  • Designing and delivering scalable data solutions on Databricks
  • Building and maintaining robust data pipelines and ETL workflows
  • Working closely with senior data leaders on architecture and strategy
  • Translating architectural designs into high-quality build plans
  • Optimising large-scale data workflows for performance and reliability
  • Implementing strong data quality, validation, and governance processes
  • Providing technical guidance and mentoring a small team of Data Engineers

Requirements

  • Strong commercial experience with Databricks
  • Solid knowledge of Python, Spark, and SQL
  • Experience working with major cloud platforms
  • Familiarity with modern pipeline tools and best practices
  • Strong problem-solving abilities and proven leadership/mentoring skills, * Python
  • Spark
  • SQL
  • Databricks

Benefits & conditions

  • Highly competitive salary
  • Strong benefits package
  • Hybrid working model with flexibility
  • Career progression opportunities within a growing data function
  • Support for training, certifications, and professional development

Apply for this position