Senior Data Engineer - Elite Fintech Firm - London (Hybrid) - Up to £725 P/D
Posted Today by Hunter Bond
£725 Per day
Undetermined
Hybrid
London Area, United Kingdom
Summary: The role of Senior Data Engineer at an award-winning FinTech firm involves designing and building data pipelines to support real-time decision-making and analytics. The position requires transforming raw data into usable assets and managing the data flow using modern tools such as Python and Azure. The role is a long-term engagement with a focus on enterprise-level data solutions. The position is hybrid, based in London, and offers a competitive daily rate.
Key Responsibilities:
- Design and build data pipelines for real-time decisions and analytics.
- Transform raw data into trusted, usable assets.
- Manage the data flow from ingestion to insight using Python, Azure, and Databricks.
- Ensure clean, scalable, and secure data solutions within enterprise environments.
Key Skills:
- 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).
- Proficiency in Databricks or equivalent experience with Apache Spark.
- Proven ability to work within enterprise-level environments.
Salary (Rate): £725 daily
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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
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.
If you are the right fit - contact me directly at bbirch@hunterbond.com