Senior Data Engineer — Lead Data Platform & AI (Hybrid)

AQA; Greater Manchester; Hybrid; GBP 59,000 - 66,000; Full time

Benefits offered by this job

Hybrid working

Pension contributions

Healthcare support

Volunteering opportunities

Job summary

AQA is seeking a Senior Data Engineer to lead the DAIR data platform, shaping analytics, reporting and AI-driven insights. This newly created role offers influence over data architecture and strategic decisions within a collaborative tech team.

You will design scalable cloud-based solutions, build data pipelines, mentor colleagues, and drive best practices to unlock advanced analytics across the organisation.

Qualifications

• Experience in a senior or lead data engineering role.
• Experience designing cloud-based data platforms using Azure, Databricks and/or Snowflake.
• Strong coding skills (SQL or Python).
• Experience with data modelling and data integration across systems.
• Knowledge of data governance, security and access controls.

Responsibilities

• Lead DAIR's data platform design and development to support analytics, insight and reporting.
• Build and maintain scalable, secure data pipelines across multiple systems.
• Lead data modelling to support analytics and reporting.
• Promote best practices and documentation in data engineering.

Skills

SQL

Python

Data modelling

Azure

Databricks

Snowflake

Data governance

Leadership

Stakeholder engagement

Education

Analytical/technical/mathematical degree

Tools

Azure

Databricks

Snowflake

Alteryx

Job description

AQA is seeking a Senior Data Engineer to lead the DAIR data platform, shaping analytics, reporting and AI-driven insights. This newly created role offers influence over data architecture and strategic decisions within a collaborative tech team.

You will design scalable cloud-based solutions, build data pipelines, mentor colleagues, and drive best practices to unlock advanced analytics across the organisation.