Analytics Engineer

Have you got hands-on experience using SQL, Python or PySpark to build reusable data models and transformation pipelines? Are you confident translating complex business needs into clear data requirements and well-governed analytical assets? If so, we'd love to hear from you! The Maritime and Coastguard Agency implement's the government's maritime safety policy in the UK and works to prevent the loss of life on the coast and at sea. Within Finance and Analysis, the Data Engineering function develops analytical data products that enable reporting, analysis and decision-making across MCA. Joining our department comes with many benefits, including:

• Employer pension contribution of 28.97% of your salary. Read more about Civil Service Pensions here
• 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King's birthday
• Flexible working options where we encourage a great work-life balance.

Read more in the Benefits section below! Find out more about what it's like working at MCA: MCA Homepage | Civil Service Careers As Senior Analytics Engineer, you will lead the design, development and support of reusable analytical data products, models and curated datasets. Working between business users, analysts, data scientists and data engineers, you will translate business needs into trusted, secure and maintainable data assets that support reporting, analysis and decision-making across MCA.

Your responsibilities will include, but aren't limited to:

• Design, build, review, test, deploy and maintain secure analytical data products, curated datasets, transformation pipelines and complex analytical data models.
• Identify opportunities to reuse existing data products, datasets, models and transformation components before developing new solutions.
• Profile source systems, analyse data structures and translate business processes, rules and user needs into reusable data designs.
• Ensure analytical products meet agreed quality standards and are tested, version-controlled, documented and deployed in line with MCA standards.
• Build effective relationships with the wider data team, subject matter experts and senior stakeholders, explaining technical issues clearly.

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