Senior Data Engineer - Elite Fintech Firm - London (Hybrid) - Up to £675 P/D
Posted Today by Hunter Bond
£675 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 that support real-time decision-making and advanced analytics. The position requires transforming raw data into reliable assets and managing the entire data flow using modern tools such as Python and Azure. Candidates should have extensive experience in data engineering and a strong understanding of the Azure ecosystem. This is a long-term engagement with a hybrid working arrangement based in London.
Key Responsibilities:
- Design and build data pipelines for real-time decisions and analytics.
- Transform raw data into usable assets for dashboards and product innovation.
- Manage the data flow from ingestion to insight using Python, Azure, and Databricks.
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.
- Experience working in enterprise-level environments focusing on clean, scalable, and secure data solutions.
Salary (Rate): £675 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 £675 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