Data Engineer - GCP

We’re looking for an experienced Data Engineer to join a large-scale digital and data environment, helping develop and mature the infrastructure used to collect, process and make analytical data useful.

This is a hands-on technical role working across data engineering and wider technical teams. You’ll work on complex data flows, scalable data models and cloud-based data infrastructure, while contributing to strong engineering practices and standards.

The environment is heavily focused on Google Cloud Platform (GCP), with BigQuery, Dataform and Airflow/Cloud Composer forming key parts of the technology stack.

WHAT YOU’LL BE DOING

Designing and implementing complex data flows across operational, analytics and BI systems.

Building and refining robust data models that make data easier for teams to consume and use.

Developing and improving cloud-based data infrastructure within GCP.

Collecting and integrating data from multiple sources, including APIs and digital channels.

Improving data tooling, technologies and engineering practices.

Supporting strong data quality, governance and infrastructure standards.

Working collaboratively with developers, analysts and other data professionals.

Independently investigating technical problems where the requirements or solution may not initially be clearly defined.

Strong hands-on experience with Google Cloud Platform (GCP).

Strong experience with BigQuery.

Experience using Dataform.

Experience with Airflow / Cloud Composer.

Strong data engineering fundamentals, including building scalable and robust production data solutions.

Experience working with data quality, governance and appropriate data controls.

Confidence operating in environments where requirements may initially be ambiguous.

An investigative approach, with the ability to ask the right questions, find answers and independently move work forward.

At least 5 years’ experience in a data-related profession, including at least 2 years within an engineering-focused role.

DESIRABLE EXPERIENCE

Terraform / Infrastructure as Code.

Python.

SQL.

GitHub / Git-based development.

Code reviews and CI/CD.

API-based data collection and integration.

Analytical or behavioural data.

Data governance and regulatory requirements such as GDPR.

Data quality frameworks and controls.

Cross-domain data collection.

GCP certifications or accreditations.