Senior Data Engineer - Elite Fintech Firm - London (Hybrid) - Up to £675 P/D

JR United Kingdom; Slough; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading fintech firm is seeking a Senior Data Engineer to design and build powerful data pipelines in a hybrid work environment. The ideal candidate has over 7 years of data engineering experience, advanced Python skills, and a deep understanding of Azure and Databricks. This long-term engagement offers a competitive rate of up to £675 per day.

Qualifications

• 7+ years of hands-on experience in data engineering roles.
• Advanced skills in Python for data pipelines, transformation, and orchestration.
• Deep understanding of the Azure ecosystem.

Responsibilities

• Design and build data pipelines for real-time decisions.
• Transform raw data into trusted, usable assets.
• Own the data flow from ingestion to insight.

Skills

Python

Azure

Databricks

Enterprise-level data solutions

Job description

Social network you want to login/join with:

Senior Data Engineer - Elite Fintech Firm - London (Hybrid) - Up to £675 P/D, slough

col-narrow-left

Client:

Hunter Bond

Location:

slough, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

2

Posted:

26.08.2025

Expiry Date:

10.10.2025

col-wide

Job Description:

Job title: Data Engineer

Rate: Up to £675 p/d

Duration: 6-Month Rolling Contract | Long-Term Engagement

Location: London

The Role:

• Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale.
• Transform raw data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation.
• Own the data flow from ingestion to insight - using modern tools like Python, Azure, and Databricks.

What you need:

• 7+ years of hands-on experience in data engineering roles.
• Advanced skills in Python for data pipelines, transformation, and orchestration.
• Deep understanding of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.)
• Proficiency in Databricks (or strong equivalent experience with Apache Spark).
• Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions.