Data Engineer – Python | Databricks | PySpark
Company: Fortune 500 Financial Services firm
Location: Hybrid - London
Type: Permanent
Salary: £90k + 20% bonus + Exceptional Benefits
Exclusively via DATAHEAD
Are you a detail-oriented Python Developer who thrives in complex data environments?
Do you have hands-on experience with
Databricks ,
PySpark , and cloud-native data engineering?
We’re hiring a
Data Engineer
on behalf of a
Fortune 500 firm
undergoing a major data and analytics transformation. You’ll join a global Advanced Analytics function working at the cutting edge of data science, engineering, and AI.
Why this role?
You’ll join a cross-functional team that includes data scientists, actuaries, software engineers, and AI specialists - all working together to build intelligent data platforms that power business-critical decisions across the organisation.
This is a cloud-first, engineering-led environment where you’ll play a key role in developing high-quality, scalable data products.
What You’ll Do:
Build and maintain scalable Python applications using
Databricks
and
PySpark
Design and optimise robust data pipelines and processing frameworks
Write clean, modular, and testable code aligned with
SOLID
principles
Contribute to
CI/CD pipelines , automated testing frameworks, and deployment tools
Collaborate with stakeholders across data science, analytics, and engineering
Build and expose
RESTful APIs
for secure data integration across platforms
Help shape the data architecture that underpins machine learning and AI models
What You’ll Bring:
Proven experience developing in
Python
for data-intensive applications
Hands-on expertise with
Databricks
and
PySpark
Strong grasp of cloud data platforms and modern engineering practices
Familiarity with CI/CD, version control (e.g. Git), and automated testing
Ability to work effectively in cross-border, cross-functional teams
A proactive, delivery-driven mindset with strong attention to detail
What’s in It for You:
Excellent salary + performance bonus
Private medical and dental cover, enhanced pension, life insurance, income protection
Flexible working options, including holiday buy/sell and season ticket loans
Training budget and career development pathways in a forward-thinking, data-driven organisation
Exposure to global projects in a high-impact function
This opportunity is with a
Fortune 500 company
known for its long-term thinking, innovation, and technical excellence. With operations spanning over 20 countries, the firm is investing heavily in data and analytics to shape its future – and this role is crucial to that mission.
