Remote Analytics Engineer: Scalable GCP Data Pipelines

fifty-five; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Private medical coverage

Travel card allowance

Remote work option

25 days holiday

Company pension

Sporting & social events

Codecademy training

Job summary

fifty-five is a data company helping brands turn data into actionable insights across paid, earned and owned channels. You will design and deliver scalable data pipelines and platforms on Google Cloud, taking ownership of projects and client accounts while collaborating with consultants and data scientists.

You’ll use SQL, Python and cloud engineering best practices, applying AI-assisted tools judiciously to accelerate development and maintain high quality for production systems.

Qualifications

• Strong SQL and Python skills.
• Experience designing, building and operating data pipelines on cloud platforms (GCP preferred).
• Familiar with dbt, Airflow or Dataform for transformation/orchestration.
• Solid software engineering practices: Git workflows, code reviews, automated tests, CI/CD.
• Experience with AI-assisted engineering tools and judgement on when to rely on them.
• Ability to break down ambiguous problems and articulate business needs clearly.

Responsibilities

• Design, build and operate scalable data pipelines, data models and end-to-end architectures on GCP.
• Own technical delivery on projects and client accounts, from scoping to production.
• Ensure quality with validation, tests, observability and data-quality controls built into pipelines.

Skills

SQL

Python

Data pipelines

CI/CD

Git workflows

Client-facing

Tools

dbt

Airflow

Dataform

Looker

Power BI

Terraform

GCP

Job description

fifty-five is a data company helping brands turn data into actionable insights across paid, earned and owned channels. You will design and deliver scalable data pipelines and platforms on Google Cloud, taking ownership of projects and client accounts while collaborating with consultants and data scientists.

You’ll use SQL, Python and cloud engineering best practices, applying AI-assisted tools judiciously to accelerate development and maintain high quality for production systems.