Senior AWS Data Engineer - London/Hybrid - up to £130k

Jefferson Frank; London; Hybrid; GBP 110,000 - 130,000; Full time

Job summary

A leading recruitment agency is seeking a Senior AWS Data Engineer to join a greenfield market data platform initiative in London. This role involves designing and maintaining data systems using AWS tools like Glue and Databricks. The successful candidate will tackle complex data challenges while collaborating with various business teams and contributing to cutting-edge technologies. If you're ready to influence a significant project, apply now with your CV.

Benefits

Exposure to high-impact technologies

Opportunity for career advancement

Qualifications

• Proven expertise with AWS data engineering tools.
• Strong proficiency in Python and SQL for data processing.
• Experience with data governance and security best practices.

Responsibilities

• Design, build, and maintain systems for collecting and analyzing data.
• Ensure data accuracy, accessibility, and security.
• Collaborate with business teams to tackle complex data challenges.

Skills

AWS data engineering tools

Python

SQL

Data governance best practices

Tools

Glue

PySpark

Athena

Databricks

Lake Formation

Job description

Senior AWS Data Engineer - Greenfield Market Data Platform - London/Hybrid - Up to 130k

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.

Key Responsibilities

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.

Essential Skills & Experience

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Proven, hands-on expertise with AWS data engineering tools including Glue, PySpark, Athena, Iceberg, Databricks, and Lake Formation.
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Strong proficiency in Python and SQL for large-scale data processing and analysis.
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Demonstrated application of data governance, data quality, and data security best practices.

Desirable Skills

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Experience with additional data engineering tools and cloud platforms.
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Knowledge of machine learning and data science principles.
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Familiarity with enterprise-level data strategies.

Why join?

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A chance to design and influence a platform from the ground up.
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Exposure to modern, high-impact technologies.
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Collaboration with diverse business areas for broad industry insight.
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Direct involvement in shaping the future of market data management.

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: [e-mail]