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About the Role
Design and deliver data pipelines, platforms, and AI applications on Google Cloud to drive client decision-making. Engineers have technical ownership and lead projects, collaborating with consultants and data scientists. The role involves combining SQL, Python, and cloud engineering with AI tools to build high-quality, production-ready systems.
Responsibilities
- Design, build, and operate scalable data pipelines, data models, and end-to-end solution architectures on GCP.
- Own technical delivery from scoping to production, including design decisions, risk management, and communication of trade-offs.
- Ensure quality through rigorous validation, automated testing, observability, and data quality controls, leading diagnosis and resolution of production issues.
- Design and build AI applications for clients and internal teams, such as LLM agents on Google Cloud.
- Utilize agentic coding tools to build faster and improve testing, critically checking output and sharing learnings.
- Collaborate with clients, consulting, and data science teams to clarify requirements and translate business needs into pragmatic designs.
- Raise engineering standards through design and 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 preferred, AWS or Azure also welcome).
- Experience with transformation and orchestration tooling such as dbt, Airflow, or Dataform.
- Strong software engineering practices: Git-based workflows, code review, automated testing, and CI/CD.
- Hands-on experience building with LLMs (Gemini or similar), including agents, connecting models to data and APIs, and evaluating outputs.
- Ability to break down ambiguous problems, understand business challenges, make well-reasoned decisions, and prototype ideas.
- Excellent client-facing communication skills and confidence leading delivery independently.
- Ability to manage multiple client projects simultaneously and re-prioritize as client needs change.
Skills
- SQL
- Python
- Google Cloud Platform (GCP)
- BigQuery
- dbt
- Airflow
- Dataform
- LLM agents
- Gemini
- Google's ADK
- Claude Code
- Codex
- Git-based workflows
- Automated testing
- CI/CD
- Infrastructure as code (Terraform)
- Cloud IAM
- Applied data science
- Looker
- Power BI
Location
- London
- Hong Kong
- New York
- Shanghai
Work Type
- Remote (part of the week)
Experience Level
- Technical lead
Benefits
- Multicultural, dynamic, and fast-growing team environment
- Continuous and certified training on digital ecosystem and technologies
- Private medical coverage through AXA
- Transport for London monthly travel card allowance
- Flexibility to work remotely for part of the week
- 25 days holiday per year, in addition to UK bank and public holidays
- Company pension plan
- Company-sponsored sporting and social activities
- Monthly Codecademy subscription (reimbursable)
About the Company
- Part of The Brandtech Group, fifty-five is a data company helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention.
- Headquartered in Paris with offices in London, Hong Kong, New York and Shanghai.
- Certified Google Partner company.
- Named by Deloitte as one of the fastest-growing tech firms in Europe.
Equal Opportunity
- fifty-five encourages diversity and is committed to guaranteeing equal treatment of all applications, regardless of gender, age, origin, sexual orientation, state of health or political or religious opinion.