Data Engineer

Are you passionate about working with data and ready to take on an exciting challenge? We're seeking a Data Engineer to join our ambitious and friendly in-house Data Team within Information Services 'll have a varied and interesting workload working with a range of Information Services professionals. You'll contribute to designing, creating, and deploying enterprise-scale data analytics solutions, playing an important role in transforming our data into valuable insights that drive business decisions.

We value potential as much as experience. If you're excited about data engineering and have a strong foundation in some of the areas below, we want to hear from you - even if you don't tick every box.

About the role

You'll be involved in:

Building and maintaining data pipelines for efficient data extraction, transformation, and loading (ETL/ELT) processes

Developing data models and transformation processes (we primarily use Where Scape Red alongside Microsoft Fabric tools, including Synapse SQL Data Warehouse, Notebooks, and Data Pipelines - but experience with any modern data platform is valuable)
Supporting our Data Warehouse implementation, working to ensure data quality, integrity, and security

Collaborating with Data Analysts, Data Stewards, and other cross-functional teams to deliver comprehensive data solutions

Creating and maintaining clear data documentation, including data catalogues and architecture diagrams

Working to optimise data storage and retrieval processes for improved performance

Contributing to data governance efforts and learning to implement Data Ops philosophy

Staying current with industry trends and emerging technologies in data engineering

About youCore requirements:

SQL proficiency - you should be comfortable writing queries and have an understanding of database concepts

Experience with or strong interest in data warehousing concepts

Some programming experience (Python preferred, but R, Java, Scala, or similar languages are great too)
Understanding of ETL/ELT concepts (hands-on experience is ideal, but strong theoretical knowledge with enthusiasm to apply it works too)
Problem-solving mindset and analytical thinking

Good communication skills and genuine interest in collaborative teamwork

Eagerness to learn and grow in the data engineering space

It would be great if you have:

Experience with any cloud data platforms (Azure, AWS, GCP, Databricks, Snowflake, etc.)Familiarity with data pipeline orchestration tools (Airflow, Azure Data Factory, or similar)
Knowledge of data governance principles

Experience with version control (Git)
Understanding of Data Ops or Dev Ops practices

Experience in financial services or legal sectors

What matters most to us:

We're looking for someone who is curious, adaptable, and excited about data. Whether you're coming from a traditional data engineering background, transitioning from software engineering, stepping up from a data analyst role, or bringing a unique perspective from another technical field - if you have the fundamentals and the drive to learn, we want to talk to you.

Our team values collaboration and knowledge sharing. You'll have the opportunity to work with modern tools and technologies, with support to develop your skills further. We've had great success with team members who brought strong foundations and enthusiasm, even if they hadn't worked with our specific tech stack before.

A note on our tech stack:

While we use Where Scape Red with Microsoft Fabric and Azure technologies, we absolutely welcome candidates with experience in other platforms. Skills in AWS, GCP, Databricks, Snowflake, or open-source tools are all transferable. What's important is your understanding of core data engineering concepts and your ability to adapt and learn.
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