Data Engineer

Data Engineer

Department: IT Support, Infrastructure & Security

Employment Type: Permanent - Full Time

Location: Office, Avonmouth/Filton

The Elemis Data Engineering team is on a transformative journey—modernising our data ecosystem by evolving from a legacy data warehouse into a centralised Microsoft Fabric Medallion architecture. This isn't a simple lift-and-shift; it’s a thoughtful, iterative rebuild focused on long-term scalability, agility, and value.

We operate in a fast-paced, responsive environment where source systems are actively evolving and new technologies are regularly being explored. Despite the pace, we take a methodical MVP-first approach to ensure everything we build aligns with the core pillars of our team:
Robust
, Timely
, and Trusted data.

Our mission is clear: enable Elemis to become a truly data-driven business and help shape the future of our global success through scalable, governed, and well-architected data products.

We’re now looking for a Data Engineer to join our collaborative and friendly sprint team—working alongside a Senior Engineer, another Engineer, our Contract Principal, and our strategic data partner, Data Pulse. This is an exciting opportunity to contribute to a high-impact, technically strong, and values-led team where knowledge sharing and continuous learning are part of our DNA.

This is a full time (37.5 hour per week) permanent role. This role is based in our Avonmouth (near Bristol) offices. We offer Hybrid working which means we are in the office three days per week, and Working From Home two days per week. We also offer flexible working, with core hours between 10am - 4pm.

• Design, build, and maintain scalable data pipelines using Py Spark ,
  SQL
  , and modern cloud data technologies.
• Extract and integrate data from a variety of sources—including APIs and external systems—into well structured,
  star schema data models that support analytics and reporting.
• Collaborate across cross functional teams to translate business requirements into high quality data solutions.
• Troubleshoot and optimise existing data pipelines, ensuring performance, reliability, and data quality.
• Develop and maintain reusable data tests, alerting mechanisms, and monitoring frameworks that uphold the team’s commitment to robust and trusted data.
• Contribute to documentation, standards, and best practices that strengthen the data engineering function and support future growth.
• Sustainability Responsibility:
  At Elemis, sustainability isn’t an afterthought—it’s built into how we work. Every team member is expected to actively contribute to our short- and long-term goals across the Climate
  , Biodiversity
  , and People pillars. As a Data Engineer, this means considering the impact of your work on data efficiency, automation, and systems that support our wider sustainability objectives.

This role requires a blend of technical depth, practical execution, and collaborative. We’re looking for someone who can demonstrate:

• Proficiency in Py Spark and SQL for data engineering and analytics.
• Experience designing star schema models and scalable data solutions.
• Familiarity with data integration from APIs and third-party systems.
• Understanding of data orchestration tools and pipeline monitoring.
• Good testing discipline—able to write robust, reusable tests and alerts.

• Clear, structured communication across technical and business teams.
• A strong team player who contributes ideas, feedback, and expertise.
• Comfortable participating in Agile ceremonies and sharing progress.

• Pragmatic problem-solving and the ability to deliver Minimum Viable Products (MVPs).
• Willingness to experiment with new tools and techniques to improve delivery.
• Enthusiasm for learning and personal development.

• Degree Level Education in a numerate subject
• Microsoft or relevant BI Certifications advantageous

How the team work:
You’ll be joining a small but mighty team—currently composed of a Senior Engineer, another Data Engineer, and a Contract Principal Engineer—working in close partnership with our external data partner,
Da…