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Fifty-Five

Data-driven marketing analytics and consulting services

Data Engineer

Data EngineeringPosted on Nov 12
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Excellent SQL and strong Python skills.
  • Proven experience designing, building and operating reliable data pipelines, data models and cloud platforms, with GCP preferred and AWS or Azure also welcome, and 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 in day-to-day work, with judgment about when to rely on them and when to verify their output.
  • Ability to break down ambiguous problems, understand the underlying business challenge, make well-reasoned decisions, and prototype and pitch ideas for client projects.
  • Client-facing communication skills and confidence leading delivery independently, running several client projects simultaneously and reprioritizing as client needs change, either solo or within a larger project team.

Responsibilities

  • Design, build and operate scalable data pipelines, data models and end-to-end solution architectures on GCP using BigQuery, Python, dbt, Airflow and Dataform, balancing reliability, maintainability, performance and cost.
  • Own technical delivery on projects and accounts from scoping through production, including making design decisions, managing risks and dependencies, and communicating trade-offs clearly.
  • Own delivery quality by building rigorous validation, automated testing, observability and data-quality controls into production pipelines, and lead diagnosis and resolution of production issues.
  • Use agentic coding tools such as Claude Code or Codex to build faster and improve testing, critically check their output, and remain accountable for results; share effective practices through team demos, documentation and reusable patterns.
  • Work with clients, consulting teams and data science teams to clarify requirements, challenge assumptions, turn business needs into pragmatic designs, and explain reasoning to technical and non-technical audiences.
  • Raise engineering standards through design and code reviews, strong testing practices and clear documentation.

Desired Qualifications

  • Experience with infrastructure as code using Terraform, cloud IAM, and secure handling of client data.
  • Applied data science experience, including exploratory or statistical analysis, and dashboarding tools such as Looker or Power BI.
  • Experience with marketing platforms and an understanding of marketing data.

About the Company

Fifty-Five

Data-driven marketing analytics and consulting services

Fifty-Five provides data-based marketing services. It combines consulting, technical skills, and marketing know-how to help brands optimize their marketing strategies using data. The company works by offering services that merge data strategy, analytics, and technical implementation to improve marketing outcomes for clients across multiple time zones and offices around the world. It differentiates itself from competitors through its blended mix of advisory and technical execution, rooted in European experience and a global footprint with 10 offices. The goal is to help brands turn data into measurable marketing results and value.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Paris, France
Founded
2010

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