Senior AWS Data Engineer - London/Hybrid - up to £130k
New Yesterday
Senior AWS Data Engineer - Greenfield Market Data Platform - London/Hybrid - Up to 130k
\n
My client is launching an ambitious initiative to transform the way market data is accessed and utilised. This rare greenfield opportunity allows a Senior AWS Data Engineer to join at the design stage, working with cutting-edge technologies such as Databricks and Snowflake. The successful candidate will play a pivotal role in tackling one of the most complex data pipeline challenges in financial services, collaborating with multiple business teams and gaining exposure to a wide range of sectors.
\n
Key Responsibilities
\n
You will be responsible for designing, building, and maintaining systems that collect, store, process, and analyse data - including pipelines, data warehouses, and data lakes - ensuring data accuracy, accessibility, and security.
\nEssential Skills & Experience\n
\n
\n
Proven, hands-on expertise with AWS data engineering tools including Glue, PySpark, Athena, Iceberg, Databricks, and Lake Formation.
\n
\n
\n
Strong proficiency in Python and SQL for large-scale data processing and analysis.
\n
\n
\n
Demonstrated application of data governance, data quality, and data security best practices.
\n
\n
\nDesirable Skills\n
\n
\n
Experience with additional data engineering tools and cloud platforms.
\n
\n
\n
Knowledge of machine learning and data science principles.
\n
\n
\n
Familiarity with enterprise-level data strategies.
\n
\n
\nWhy join? \n
\n
\n
A chance to design and influence a platform from the ground up.
\n
\n
\n
Exposure to modern, high-impact technologies.
\n
\n
\n
Collaboration with diverse business areas for broad industry insight.
\n
\n
\n
Direct involvement in shaping the future of market data management.
\n
\n
\n
If this role sounds like it could be the next step for your career, don't hesitate to reach out to Marley Taylor at Tenth Revolution Group with your CV: m.taylor@tenthrevolution.com
\n
- Location:
- London
- Job Type:
- FullTime
- Category:
- Engineer, Data, Senior, Engineering, Hybrid