Data Engineer

Data Engineer

Remote (UK-based, with occasional office travel) | £45,000 + benefits

This is a standout opportunity for an early-career Data Engineer to join a growing, well-supported data team that is investing heavily in modernisation and advanced analytics. You will be part of a collaborative engineering environment where learning, progression, and exposure to cutting-edge technologies are central to the role.

The Company

They are a well-established UK-based organisation with a long-standing reputation for delivering high-quality services to a broad client base. With a strong focus on innovation, they are investing in their data and AI capabilities to drive smarter decision-making across the business. Their culture blends technical excellence with a genuinely supportive and people-focused approach. The data function is a key strategic priority, with strong backing from leadership.

The Role

You will join a growing data platform team working within a modern cloud-based environment, transitioning to a Databricks Lakehouse architecture on Azure. You will contribute to building scalable data pipelines and improving engineering standards across the platform.

Responsibilities include:

• Building and maintaining robust data pipelines using Python and PySpark
• Supporting CI/CD processes and applying DevOps best practices
• Contributing to code deployment, testing, and release processes
• Collaborating with engineers, QA specialists, and machine learning teams
• Working across multiple squads to deliver high-quality data solutions
• Supporting the ongoing development of the Databricks platform
• Gaining exposure to data modelling and machine learning workflows over time

Your Skills & Experience

• Hands-on experience with Python and data engineering concepts
• Exposure to PySpark and large-scale data processing
• Familiarity with Databricks or similar modern data platforms
• Understanding of software engineering principles and version control
• Interest in CI/CD, DevOps, and scalable system design
• Strong communication skills and a collaborative mindset
• Motivation to learn and grow within a high-performing team

Desirable:

• Exposure to AWS or cloud environments
• Experience with data modelling or analytics workflows

What They Offer

• Primarily remote working with minimal office requirements
• Flexible working hours and a strong work-life balance culture
• Structured learning and development within a modern data environment
• Opportunity to transition into a permanent role with long-term career progression
• Exposure to machine learning and advanced analytics initiatives

How to Apply

If you are looking to build your career in Data Engineering within a supportive and forward-thinking team, apply now to learn more.