Senior Analytics Engineer

Role overview

Responsibilities

• Design, build, review, test, deploy, and maintain secure analytical data products, curated datasets, transformation pipelines, and complex data models.
• Reuse existing data products, datasets, models, and transformation components where suitable.
• Profile source systems, analyse data structures, and translate business processes, rules, and user needs into reusable designs.
• Ensure products meet quality standards and are tested, version-controlled, documented, and deployed in line with MCA standards.
• Build relationships with data teams, subject matter experts, and senior stakeholders, communicating technical issues clearly.

Required experience

• Hands-on experience designing, building, and reviewing complex analytical data models and transformation pipelines using SQL and Python or PySpark.
• Experience in data profiling, source-system analysis, dimensional or conformed modelling, data quality controls, automated testing, metadata, and documentation.
• Ability to translate complex business problems and stakeholder needs into clear data requirements, models, and reusable analytical products.

Salary and benefits

• Advertised salary is £44,241; the advert does not specify a salary cadence.
• Civil Service Pension employer contribution is 28.97%; annual leave is 25 days, rising by one day per year to a maximum of 30, plus 8 bank holidays and a privilege day.

Working pattern

• Full-time roles consist of 37 hours per week; part-time applications are welcomed, with a minimum requirement of 30 hours per week.

Workplace arrangement

• The role is suitable for hybrid working, subject to business requirements.
• At present, at least 60% of working time per month is expected at a designated workplace or another office, work location, or stakeholder location when required.
• Advertised locations are Cardiff and Southampton.