Senior Data Engineer

Burns Sheehan
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 95K

Job location

Charing Cross, United Kingdom

Tech stack

Data analysis
Azure
Code Review
Data Architecture
ETL
Data Visualization
Python
Power BI
SQL Databases
Tableau
Data Layers
Pandas
Data Lake
PySpark
Data Pipelines
Databricks

Job description

Senior Data Engineer - Data Platform & Analytics

Central London | Hybrid (2 days per week in the office)

Up to £95k + up to 10% bonus

Databricks, Delta Lake, ETL, SQL, Python, data visualisation tools

We're partnered with a UK-based FinTech building data and analytics products used by mortgage lenders to automate property risk and decisioning.

They are now looking for a Senior Data Engineer level to join the Product team, working on the data layer behind customer reporting and analytics products. What's particularly interesting about this role is that you'll be working on an algorithmic product that contributes to around 80% of the company's revenue, so there's a real opportunity to make an impact.

This Senior Data Engineer role is hands-on, focused on building and improving data pipelines. There's also the opportunity to influence how the team works through code reviews, mentoring and technical input. It's a solid role for a Senior Data Engineer who wants to stay close to the tech while helping raise standards.

Key experience:

  • Proven experience working as a Senior Data Engineer

  • Databricks, Delta Lake, and ETL pipelines

  • PySpark, SQL, and Pandas

  • Azure data and networking concepts

  • GDPR-aware data design

  • Data visualisation tools (Power BI, Tableau, Metabase)

Please get in touch now for more information on the role and the company - emy@burnssheehan.co.uk

Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.

Requirements

Proven experience working as a Senior Data Engineer

  • Databricks, Delta Lake, and ETL pipelines

  • PySpark, SQL, and Pandas

  • Azure data and networking concepts

  • GDPR-aware data design

  • Data visualisation tools (Power BI, Tableau, Metabase)

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