
Senior Data Engineer (Data and AI)
Fifty-Five1 month 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 scoping through production, including design decisions, risks, dependencies, and stakeholder communication.
- Implement validation, automated testing, observability, and data-quality controls, and diagnose production issues.
- Build and productionize AI applications and LLM agents using Gemini and Google’s ADK.
- Use and critically review AI-assisted coding tools such as Claude Code and Codex.
- Work with clients, consultants, and data scientists to clarify requirements and create pragmatic designs.
- Raise engineering standards through design reviews, code reviews, testing practices, documentation, demos, and reusable patterns.
Requirements
- Excellent SQL and strong Python skills.
- Proven experience designing, building, and operating reliable data pipelines, data models, and cloud platforms.
- Experience with GCP preferred; AWS or Azure experience is also welcome.
- Experience with data 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.
- Hands-on experience building LLM applications such as agents, model-to-data and API integrations, and output evaluation.
- Ability to solve ambiguous problems, make well-reasoned technical decisions, and prototype or pitch client solutions.
- Excellent client-facing communication and ability to lead multiple client projects independently.
- Desirable experience with Terraform, cloud IAM, secure client-data handling, production LLM agents, evaluation, guardrails, cost control, Slack or Teams integrations, applied data science, Looker, Power BI, and marketing data.
Benefits
- Hybrid work with flexibility to work remotely for part of the week.
- Private medical coverage through AXA.
- Transport for London monthly travel card allowance.
- 25 days of holiday per year plus UK bank and public holidays.
- Company pension plan.
- Company-sponsored sporting and social activities.
- Continuous certified training, including initial and recurring training sessions.
- Monthly Codecademy subscription reimbursable upon completion of a chosen training path.
Tech Stack
Categories
AI ApplicationsData 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.