Analytics Engineer
Fifty-Five4 days ago
London, United KingdomSenior
Responsibilities
- Design, build, and operate scalable data pipelines, data models, and end-to-end solution architectures on GCP.
- Own technical delivery from project scoping through production, including design decisions, risks, dependencies, and trade-offs.
- Build in validation, automated testing, observability, and data-quality controls, and diagnose and resolve production issues.
- Use AI-assisted coding tools, verify their output, and share effective practices through demos, documentation, and reusable patterns.
- Work with clients, consultants, and data scientists to clarify requirements and translate business needs into technical designs.
- Raise engineering standards through design reviews, code reviews, testing practices, and documentation.
Requirements
- Excellent SQL and strong Python skills.
- Experience designing, building, and operating reliable data pipelines, data models, and cloud platforms.
- Experience with GCP preferred, with AWS or Azure also accepted, and with transformation or orchestration tools such as dbt, Airflow, or Dataform.
- Strong software engineering practices including Git-based workflows, code review, automated testing, and CI/CD.
- Practical experience using AI-assisted engineering tools and the judgment to verify their output.
- Ability to break down ambiguous problems, make sound technical decisions, prototype ideas, and communicate with technical and non-technical audiences.
- Experience leading client delivery independently across multiple projects and adapting priorities as client needs change.
- Desirable experience with Terraform, cloud IAM, secure client-data handling, applied data science, Looker or Power BI, and marketing data.
Benefits
- Hybrid work with flexibility to work remotely part of the week.
- Private medical coverage through AXA.
- Transport for London monthly travel card allowance.
- 25 days of holiday plus UK bank and public holidays.
- Company pension plan.
- Company-sponsored sporting and social activities.
- Initial and recurring certified training on the digital ecosystem and technologies.
- Monthly Codecademy subscription reimbursable upon completion of a chosen training path.
Categories
Data Engineering
About Fifty-Five
Fifty-Five is a data-driven marketing consultancy that helps brands use analytics, tracking, and attribution to improve media performance and customer experience through consulting and specialized technology. Founded in 2010 and headquartered in Paris, it operates across Europe, Asia, and North America from offices including London, Shanghai, Singapore, and New York. The company is part of The Brandtech Group.