Data Engineer

Oliver Bernard; United Kingdom; On-site; GBP 55,000 - 85,000; Full time

Job summary

Oliver Bernard is recruiting for a Data Engineer at a globally recognised premium consumer brand. You will build data pipelines, models and ELT processes to enable data-driven decisions across the organisation.

You will work at the intersection of data engineering, analytics and business, partnering with analysts, engineers and stakeholders globally. Expect collaboration in small workstreams and impact from problem to solution.

Qualifications

• Experience with data warehousing and ELT concepts.

Responsibilities

• Design and develop scalable data pipelines and data products.

Skills

SQL

Python

Data modelling

ELT

Data pipelines

APIs

Cloud infrastructure

Observability

Stakeholder management

Tools

SQL

Python

APIs

Cloud platforms

Airflow

Job description

A high-growth, globally recognised premium consumer brand that is continuing to invest heavily in its Data & AI capabilities — and they’re looking for a Data Engineer.

The opportunity:

As a Data Engineer, you’ll help build and evolve the data products, platforms and processes that enable teams across the organisation to make better, faster, data-driven decisions.

You’ll work at the intersection of data engineering, analytics and business, partnering closely with data analysts, engineers and stakeholders across different functions.

Your work will include:

• Designing and developing scalable data pipelines and data products
• Building and maintaining data models and ELT processes
• Working extensively with SQL and Python
• Integrating new data sources and APIs into the data platform
• Improving data quality, observability and reliability
• Translating business requirements into robust data solutions
• Contributing to architectural and technology decisions

This is a business that is growing quickly, operating globally and investing seriously in technology.

The team works in small, collaborative workstreams alongside analysts and business stakeholders, giving you the opportunity to see your work move from problem to solution to measurable impact.

What you’ll bring:

• Strong SQL and a solid understanding of data warehousing, data modelling and ELT
• Programming experience in Python or a similar language
• Experience building data pipelines and working with APIs
• Experience with cloud-based data infrastructure and distributed environments
• Understanding of orchestration and data observability
• Strong software engineering fundamentals — version control, testing, debugging and technical problem solving
• Excellent communication and stakeholder management skills