Senior Data Engineer in Sutton

This is an excellent opportunity for an experienced data professional who enjoys solving complex data challenges, building scalable pipelines and working with modern cloud technologies. The successful candidate will play a key role in the ongoing development, optimisation and support of an established data platform while also mentoring more junior engineers within the team.

As a Senior Data Engineer, you’ll be responsible for designing, developing and maintaining robust data solutions that support a wide range of business and customer-facing applications.

Working closely with engineers, analysts and stakeholders, you’ll help drive best practice across data engineering, data quality and platform performance whilst contributing to the evolution of the organisation’s data capabilities.

Key Responsibilities:

Design, develop and maintain ETL and data integration solutions

Build and optimise scalable data pipelines using SQL and Python

Support and enhance a cloud-based data platform

Work with stakeholders to understand data requirements and translate them into effective technical solutions

Contribute to data modelling and data architecture initiatives

Troubleshoot and resolve complex data-related issues

Contribute to engineering best practices, code reviews and continuous improvement activities

Support infrastructure and platform automation initiatives

Strong SQL skills, including complex data manipulation and performance optimisation

Proven experience designing, developing and supporting ETL/data pipeline solutions

Strong Python development experience

Commercial experience working with Snowflake

Strong understanding of data warehousing and data modelling principles

Experience working within Agile delivery environments

Excellent communication and stakeholder management skills

12-month contract with potential for extension

Opportunity to work on a modern cloud data platform

Collaborative and supportive engineering culture

Exposure to modern data engineering and automation practices

Hybrid working model with two office days per week

Opportunity to influence technical direction and mentor other engineers