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Data engineer

Metrica Recruitment
Data engineer
Posted: 13h ago
Offer description

A pioneering force in the grocery retail space and a household name. What truly sets the company apart is its obsession with data. Insight sits at the heart of every decision. From the products customers see to the timing of seasonal promotions, stock forecasting, loyalty campaigns, and new commercial strategies. Analysts are not just number crunchers here, they’re embedded in the business, influencing high-level decision-making and shaping the future of retail.

You’ll be part of a data and insight team known for its high impact, collaborative culture, and commitment to up-skilling. With access to rich datasets, modern tools like SQL and Tableau, and hands-on exposure to commercial challenges, this is an environment where analysts grow fast, and make a measurable difference, every day.

The Role

This organisation are putting data at the centre of everything they do, with their Data Engineering team powering a major transformation, building the pipelines and platforms that turn raw information into game-changing insights.

As a Data Engineer, you’ll bring your cloud expertise, strong engineering skills, and a knack for translating complex data into real business value. You’ll join a tight-knit team of 14, working through an ambitious roadmap, integrating new data sources, crafting analytics-ready data marts, troubleshooting issues, and constantly refining how they work to deliver smarter, faster.

If you want to shape the future of data in a fast-moving, customer-focused industry, this is where you’ll make your mark.

Core tech stack includes: GCP, Git, Python, SQL and Airflow

The Candidate

1. Several years of cloud-based Data Engineering experience within a major cloud platform, in particular GCP
2. Demonstrated proficiency in SQL, Python, and scripting
3. Experience with cloud data orchestration tools
4. Familiarity with managing the promotion of data pipelines into production environments (e.g., using Git-based CI/CD tools).
5. Proven track record of improving data organisation efficiency through automation strategies.
6. Experience working within Agile or other rapid application development methodologie

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