Data 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 validation, automated testing, observability, and data-quality controls into production pipelines and resolve production issues.
- Use and critically evaluate AI-assisted coding tools, sharing effective practices through demos, documentation, and reusable patterns.
- Work with clients, consultants, and data scientists to clarify requirements and translate business needs into pragmatic technical designs.
- Raise engineering standards through design reviews, code reviews, testing practices, and clear documentation.
Requirements
- Excellent SQL and strong Python skills.
- Proven experience designing, building, and operating reliable data pipelines, data models, and cloud platforms; GCP is preferred, with AWS or Azure also accepted.
- Experience with transformation and 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.
- Excellent client-facing communication and confidence independently leading several client projects at once.
- Desirable experience with Terraform, cloud IAM, secure client-data handling, applied data science, Looker, Power BI, marketing platforms, and marketing data.
Benefits
- Hybrid work arrangement 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.
- Continuous certified training, including recurring digital ecosystem and technology sessions.
- Monthly Codecademy subscription reimbursable upon completion of the 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.