Description
You'll design and deliver data pipelines and platforms on Google Cloud, working directly with clients to turn business questions into production-ready systems.
As a Data Engineer at Fifty-Five, you will have real technical ownership of projects and client accounts. You will work day-to-day with Fifty-Five's consultants and data scientists.
Responsibilities:
- Design, build and operate scalable data pipelines, data models and end-to-end solution architectures on GCP (BigQuery, Python, dbt, Airflow, Dataform).
- Own technical delivery on projects and accounts, from scoping to production.
- Use AI tools to build faster and to a higher standard while keeping full ownership of what you deliver.
- Work with clients, consulting and data science teams to clarify requirements and turn business needs into pragmatic designs.
- Raise the team's engineering standards through design and code reviews, strong testing practices and clear documentation.
Requirements:
- Excellent SQL and strong Python skills.
- Proven experience designing, building and operating reliable data pipelines and cloud platforms.
- Strong software engineering practices: Git-based workflows, code review, automated testing and CI/CD.
- Practical experience using AI-assisted engineering tools.
Benefits:
- Being part of a multicultural, dynamic and fast-growing team
- Continuous training on the 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
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