Data Engineer

About the role

Bailey Abbott is seeking a Data Engineer to join its Data Intelligence capability. You will act as a trusted consultant, designing and delivering modern data solutions for a variety of public and private sector clients.

Key responsibilities

• Design, build, and maintain data pipelines across cloud‑native and hybrid ecosystems.
• Engineer scalable ingestion, transformation, orchestration and automation using contemporary data engineering frameworks.
• Apply lakehouse architecture, layered data models and domain‑driven data products.
• Develop batch and real‑time/streaming workloads with a focus on reliability, data quality and observability.
• Embed governance by design, including lineage, cataloguing, access control, security and metadata‑driven quality frameworks.
• Write clean, maintainable and scalable code and contribute to CI/CD, DataOps and infrastructure‑as‑code practices.
• Collaborate with analysts, data scientists, architects and stakeholders to align solutions with business outcomes.

Required profile

• Proven ability to represent the consultancy as a trusted advisor to clients.
• Strong collaborative mindset, working with cross‑functional teams.
• Commitment to staying current with emerging data engineering approaches and best practices.

Required skills

• Data pipeline design and implementation.
• Cloud‑native and hybrid data ecosystem experience.
• Lakehouse architecture and layered data modeling.
• Batch and real‑time/streaming data processing.
• Data governance, lineage and metadata management.
• CI/CD, DataOps and infrastructure‑as‑code.