Senior Data Engineer - Elite Fintech Firm - London (Hybrid) - Up to £725 P/D in London

Energy Jobline ZR; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading job board in the energy sector is seeking a skilled Data Engineer to design and build robust data pipelines using Python and Azure. This 6-month rolling contract position offers a competitive rate and requires over 7 years of experience in data engineering. Ideal candidates should have advanced skills in Python and a deep understanding of the Azure ecosystem. Apply through the provided application process.

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 powerful data pipelines for real-time analytics.
• Transform raw data into trusted, usable assets.
• Own the data flow from ingestion to insight.

Skills

Python

Azure

Databricks

Snowflake

Job description

Overview

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide. We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job Details

• Job title: Data Engineer
• Client: Award Winning FinTech Firm
• Rate: Up to £725 p/d
• Duration: 6-Month Rolling Contract | Long-Term Engagement
• Location: London
• Skills: Python / Azure / Databricks / Snowflake

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 - 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.

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 with a focus on clean, scalable, and secure data solutions.

How to apply

If you are the right fit - contact me directly at [e-mail]

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.