Data Engineer

Data Engineering Offering Lead

Clearance: SC or SC-clearable

Type: Permanent

We’re partnering with a growing consulting business that is expanding its Data & AI practice and looking for a Data Engineering Offering Lead to define, build and lead their modern data engineering capability. This is a strategic, hands‑on consulting role focused on designing scalable data platforms, leading client engagements and shaping the firm’s go‑to‑market data engineering offering.

What you’ll be doing

• Leading the development of the consulting firm’s Data Engineering offering and go‑to‑market approach.
• Working directly with clients to understand data challenges and architect modern, scalable data solutions.
• Designing and overseeing the build of data pipelines, data platforms, ingestion frameworks and integration patterns.
• Driving best practices across cloud data engineering, data quality, governance and solution architecture.
• Supporting pre‑sales, proposals and client workshops by shaping technical solutions and delivery approaches.
• Working closely with Data Science, Visualisation and AI teams to create end‑to‑end solutions.
• Mentoring engineers and helping build a high‑performing internal capability.
• Travelling nationally to support client delivery when required.

What you’ll bring

• Strong experience in modern data engineering across cloud platforms (Azure, AWS or GCP).
• Hands‑on skills in data pipelines, ETL/ELT, distributed processing, APIs and data architecture.
• Experience with modern tooling (Databricks, Spark, Synapse, Snowflake, BigQuery, Kafka etc.).
• Excellent client‑facing skills with the ability to lead technical and strategic conversations.
• Consulting experience and confidence working in complex, evolving client environments.
• Strong understanding of how data engineering underpins analytics, ML and AI solutions.
• SC clearance or the ability to become SC‑cleared.

Interested? If this sounds like a role you’d excel in, drop me your details for more information and a confidential conversation.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Consulting
• IT Services and IT Consulting