Data Engineer

Our Company We exist to bring amazing people together to explore the art of possible.

Bailey Abbott are a progressive and dynamic IT Consultancy business working across both Public and Private sectors. People are at the core of everything we do. We’re all about nurturing and inspiring people – ours and our clients. We bring a positive attitude and mindset to everything we do. We confidently use our knowledge and skills to solve problems, finding a better and easier way forward.

We deliver transformational outcomes to take businesses further, fearlessly. Confidence and trust is fundamental to delivering superior outcomes and we take ownership and responsibility for our commitments.

Our People

Our specialist IT Consultants are creative, collaborative, and passionate. We’re strong advocates for change, challenging the status quo through new thinking, technology, and practices. Always exploring creative ways to simplify complexity.

As a Consultant with Bailey Abbott, you will have the opportunity to build your project portfolio by gaining exposure and experience working across different clients, industries, technologies, and methodologies, all while having the stability and security of a permanent position.

Our Career Opportunity

Bailey Abbott have an exciting opportunity for a Data Engineer to join our Data Intelligence capability. Our Data Intelligence specialists work within an active community of practice, enabling you to benefit from their years of collective experience and wisdom.

Working as a Data Engineer you will get the opportunity to:

• Represent Bailey Abbott as a trusted consultant, applying your expertise to deliver high‑quality, value‑driven outcomes for clients • Design, build, and maintain modern data pipelines across cloud‑native and hybrid data ecosystems • Engineer scalable ingestion, transformation, orchestration, and automation solutions using contemporary data engineering frameworks and patterns • Apply modern data architecture principles such as lakehouse designs, layered data models, and domain‑driven data products • Build and optimise data models, semantic layers, and analytical datasets that support business intelligence, analytics, and operational use cases • Develop solutions for both batch and real‑time/streaming data workloads with a focus on reliability, data quality, and observability • Embed “governance by design” including lineage, cataloguing, access control, security, metadata‑driven approaches, and data quality frameworks • Write clean, maintainable, and scalable code across data engineering workloads using modern programming and scripting practices • Contribute to CI/CD, DataOps and automation practices including testing, deployment pipelines, and infrastructure‑as‑code • Collaborate with analysts, data scientists, architects and stakeholders to design data solutions aligned to business needs and strategic outcomes • Stay current with emerging data engineering approaches, architectures and best practices in the rapidly evolving data ecosystem