Senior Data Engineer

McCabe & Barton
Bromley, UK
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£55,000.0
Working hours
Regular working hours

Tech stack

Agile Methodology Microsoft Azure Data Manipulation Languages Database Storage Structures Python (Programming Language) Standard Sql SQL Databases Data Streaming Azure Data Factory Snowflake Generative AI

Job description

Our client is looking for strategically minded Data Engineers that are naturally curious and understands a business’s drive to implement new data sources, data flows, automated processes and database structures.

The ideal candidate will have strong knowledge of SQL and good skills in Snowflake, Azure and Python. However, this client does take an agnostic approach to technology and would be open to other skillsets too.

Remit

  • You will be tasked with building data sources, data flows, automated processes and database structures.
  • Building & managing a Snowflake ecosystem to support streaming and batch workflows, that allows end user teams to access data, build reports, and leverage automation tools.
  • Supporting adoption of GenAI tools and techniques and leading platform innovation with Snowflake and Microsoft.

Requirements

  • Strong experience with Snowflake (SQL scripting DDL and DML)
  • Good knowledge of Azure Data Factory and Azure DevOps
  • Experience with Python
  • Experience working in an Agile environment

Benefits & conditions

Leading Financial Services client is currently going through a large Data transformation and is looking to hire a number of Senior Data Engineers to join them on this exciting journey. The roles are offering a base between £55,000 and £75,000 + a strong benefits package and flexible working.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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