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

JR United Kingdom; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading fintech firm in London is seeking a Senior Data Engineer to design and build powerful data pipelines for real-time decisions. The ideal candidate will have over 7 years of experience in data engineering, advanced skills in Python and Azure, and will work within enterprise environments. The role offers a competitive rate of up to £675 per day on a hybrid basis.

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 (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 focused on clean, scalable, and secure data solutions.

Responsibilities

• 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.
• Own the data flow from ingestion to insight using modern tools.

Skills

Data engineering

Python

Azure ecosystem

Databricks

Enterprise-level environments

Job description

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

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Client:

Hunter Bond

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

26.08.2025

Expiry Date:

10.10.2025

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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.