Data Engineer

fifty-five; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Being part of a multicultural, dynamic

Continuous training on digital tech

Private medical coverage

Transport for London travel card

Remote-friendly structure

25 days holiday plus holidays

Company pension plan

Sporting and social activities

Codecademy subscription

Job summary

fifty-five is seeking an experienced data platform engineer to design, build and operate scalable data pipelines on Google Cloud. You will own technical delivery on client accounts, guiding architecture decisions and ensuring high quality production systems.

You will combine SQL, Python and cloud engineering with strong testing, observability and data-quality controls, while using AI-assisted tools to accelerate work and maintain accountability.

Qualifications

• 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), 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.
• Practical experience using AI-assisted engineering tools in day-to-day work, and the judgement to know when to rely on them and when to verify.
• Ability to break down ambiguous problems, see the business challenge behind a task, make well-reasoned decisions, and prototype and pitch ideas for clients.
• Excellent client-facing communication and confidence leading delivery independently: running several client projects at once.

Responsibilities

• Design, build and operate scalable data pipelines, data models and end-to-end solution architectures on GCP (BigQuery, Python, dbt, Airflow, Dataform), balancing reliability, maintainability, performance and cost.
• Own technical delivery on your projects and accounts, from scoping to production: making the design decisions, managing risks and dependencies, and communicating trade-offs clearly.
• Own the quality of what we deliver, with rigorous validation, automated testing, observability and data-quality controls built into production pipelines, and lead the diagnosis and fix when production issues come up.
• Use agentic coding tools such as Claude Code or Codex to build faster and improve testing, checking their output critically and staying accountable for the result. Share what works with the team as demos, docs and reusable patterns.
• Work with clients, consulting and data science teams to clarify requirements, challenge assumptions and turn business needs into pragmatic designs, and explain your reasoning to technical and non-technical people.
• Raise the team's engineering standards through design and code reviews, strong testing practices and clear documentation.

Skills

SQL

Python

Data pipelines

GCP

dbt

Airflow

Git workflows

CI/CD

AI tools

Tools

Dataform

Looker

Power BI

Job description

About the role

You'll design and deliver the data pipelines and platforms that drive our clients' decision-making, working directly with them to turn business questions into production-ready systems on Google Cloud. Our clients span different industries and sizes, from some of the world's biggest brands to fast-growing smaller businesses.

We give engineers real technical ownership. You'll be the technical lead on your own projects and client accounts, trusted to make the calls and own the outcome. You'll also be part of an engineering team that reviews each other's work and pitches in across projects. On your accounts, you'll work day to day with fifty-five's consultants and data scientists.

You'll combine strong SQL, Python and cloud engineering with sound technical judgement, using AI tools to build faster and to a higher standard while keeping full ownership of what you deliver.

What you'll do

• Design, build and operate scalable data pipelines, data models and end-to-end solution architectures on GCP (BigQuery, Python, dbt, Airflow, Dataform), balancing reliability, maintainability, performance and cost.
• Own technical delivery on your projects and accounts, from scoping to production: making the design decisions, managing risks and dependencies, and communicating trade-offs clearly.
• Own the quality of what we deliver, with rigorous validation, automated testing, observability and data-quality controls built into production pipelines, and lead the diagnosis and fix when production issues come up.
• Use agentic coding tools such as Claude Code or Codex to build faster and improve testing, checking their output critically and staying accountable for the result. Share what works with the team as demos, docs and reusable patterns.
• Work with clients, consulting and data science teams to clarify requirements, challenge assumptions and turn business needs into pragmatic designs, and explain your reasoning to technical and non-technical people.
• Raise the team's engineering standards through design and code reviews, strong testing practices and clear documentation.

What you'll bring

• 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), 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.
• Practical experience using AI-assisted engineering tools in your day-to-day work, and the judgement to know when to rely on them and when to verify.
• The ability to break down ambiguous problems, see the business challenge behind a task, make well-reasoned decisions, and prototype and pitch ideas for what we could build for clients.
• Excellent client-facing communication and confidence leading delivery independently: running several client projects at once and re-prioritising as client needs change, solo or within a larger project team.

Desirable experience

• Infrastructure as code (Terraform), cloud IAM, and secure handling of client data.
• Applied data science (exploratory or statistical analysis), and dashboarding tools such as Looker or Power BI.
• Marketing platforms and an understanding of marketing data.

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, fifty-five is a certified Google Partner company and was named by Deloitte as one of the fastest-growing tech firms in Europe, thanks to its unique technology approach combining talent with software and service expertise.

In return, we are pleased to offer you the following benefits:

• Being part of a multicultural, dynamic and fast-growing team
• Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by recurring training sessions)
• Private medical coverage through AXA
• Transport for London monthly travel card allowance
• The 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 upon completion of chosen training path

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.