Data Engineer

Jefferson Frank; Banbury; Hybrid; GBP 59,000 - 70,000; Full time

Job summary

A growing data organization in the UK is seeking a Data Engineer to design and deliver scalable data solutions. This role involves building and maintaining robust data pipelines, working closely with senior leaders on architecture, and mentoring a small team. The ideal candidate will have strong experience with Databricks, Python, Spark, and SQL. Competitive salary, strong benefits package, and a hybrid working model are offered, along with opportunities for career progression.

Benefits

Highly competitive salary

Strong benefits package

Hybrid working model

Career progression opportunities

Support for training and certifications

Qualifications

• Strong commercial experience with Databricks.
• Solid knowledge of Python, Spark, and SQL.
• Experience working with major cloud platforms.

Responsibilities

• Design and deliver scalable data solutions on Databricks.
• Build and maintain robust data pipelines and ETL workflows.
• Work closely with senior data leaders on architecture and strategy.

Skills

Databricks

Python

Spark

SQL

Problem-solving

Tools

Cloud platforms

Modern pipeline tools

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

Benefits:

• 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

Key Experience:

• 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

Ready for a role where you can make real impact? If you're passionate about data engineering and want your work to genuinely shape a modern data platform, apply today or send your CV directly and I'll be in touch right away!