Senior Analytics Engineer

Role overview

Responsibilities

• Design, build, review, test, deploy, and maintain secure data products, curated datasets, transformation pipelines, and complex models.
• Reuse existing data products, datasets, models, and transformation components where possible.
• Profile source systems and translate business processes, rules, and user needs into reusable data designs.
• Ensure products meet quality standards and are tested, version-controlled, documented, and deployed to agency standards.
• Work with data teams, subject matter experts, and senior stakeholders; explain 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 with data profiling, source-system analysis, dimensional or conformed modelling, data quality controls, automated testing, metadata, and documentation.
• Ability to turn complex business problems and stakeholder needs into clear data requirements, models, and reusable analytical products.

Workplace and schedule

• Hybrid working is suitable, with a current expectation that at least 60% of working time each month is spent at a designated workplace or another work location when required.
• Locations listed are Cardiff and Southampton; the designated workplace is the contractual place of work.
• Full-time roles are 37 hours per week. Part-time applicants are welcome, subject to a minimum of 30 hours per week. Flexible working and job share are listed.

Salary and benefits

• Salary is listed as £44,241, with a Civil Service Pension employer contribution of 28.97%.
• Annual leave starts at 25 days and increases by one day per service year up to 30 days, plus eight bank holidays and a privilege day for the King's birthday.