Data Engineer

I’m supporting an organisation that’s undergoing a large scale digital transformation, and they’re looking for a Data Engineer who can help design and build the foundations of a modern data ecosystem. If you enjoy creating scalable, efficient pipelines and working closely with analysts and transformation teams, this is a great fit.

The Role

You’ll play a key part in shaping the organisation’s data infrastructure. The work spans architecture, engineering, data quality, governance and cross team collaboration. You’ll be involved in everything from ingesting and transforming data across core business systems to building reliable structures that enable analytics, reporting and operational insight.

This is a hands on engineering role with the freedom to influence how data is designed, governed and delivered across the business.

What you’ll be working on

• Designing and implementing scalable pipelines to ingest, transform and store data from a range of enterprise systems such as CRM, ERP and procurement platforms.
• Building and maintaining data lakes, warehouses and databases that support BI, analytics and operational reporting.
• Ensuring data integrity, consistency and security through automated validation, monitoring and governance processes.
• Working with compliance teams to align data workflows with GDPR and wider regulatory standards.
• Partnering with analysts and business units to understand their data needs and prepare structured, clean datasets tailored for analytical use.
• Establishing data standards, profiling datasets and improving consistency across the organisation.
• Supporting data operations by developing scripts, small scale applications and prototypes that make data more accessible and streamline reporting workflows.#
• Working closely with a Solution Architect to design dataflows and integrations across the organisation’s evolving technology stack, ensuring scalability, security and alignment with architectural principles.
• Acting as a technical partner to analysts, transformation teams and business stakeholders.
• Providing documentation, troubleshooting support and clear communication around data systems and processes.

What they’re looking for

Essential

• Proven experience in data engineering, data architecture or software engineering with a data focus.
• Strong programming skills in Python, SQL or Java.
• Hands on experience with at least one major cloud platform (Azure, AWS or GCP).
• Exposure to big data technologies such as Spark or Hadoop.
• Experience with ETL/orchestration tools like Airflow, Talend or Azure Data Factory.
• Understanding of data warehousing solutions (Snowflake, BigQuery, Redshift or similar).
• Good understanding of data governance, GDPR and modern security practices.
• Strong problem solving skills and the ability to work with technical and non technical stakeholders.

Desirable

• Experience in procurement, consultancy or public sector environments.
• Familiarity with BI tools such as Power BI or Tableau.
• Understanding of API integrations and real time data streaming.
• Exposure to Lean Six Sigma or broader process improvement methodologies.

What you’ll get

• Salary up to £60k
• Hybrid working
• Cash medical plan
• Annual performance related bonus up to 5%
• Annual Leave incremental increases linked to length of service
• Day off for birthday
• Buy and sell annual leave
• Pension 7.9% Ers