Data Engineering - Senior Consultant

About the Company

We’re working with a well-established UK consulting firm with a strong presence in the mid-market, delivering high-quality advisory, transformation and data-led solutions. With a clear growth trajectory and ongoing investment in its consulting capability, it offers a great platform for individuals looking to build a long-term career in a client-facing, delivery-focused environment.

About the Role

As a Senior Consultant within the Business Transformation team, you’ll design and deliver modern, cloud-based data solutions and advise clients on their current data landscape and maturity — shaping data strategies and future roadmaps.

Responsibilities

• Facilitating requirements gathering workshops across business areas to agree objectives, use cases, and data needs
• Supporting the development of data solutions aligned to business objectives, balancing best practice with client requirements
• Providing guidance on data governance and strategy, including frameworks and policies to improve data maturity
• Managing delivery across multiple workstreams / engagements, supporting junior team members and structured engineering practices
• Designing, building and optimising end-to-end data pipelines (ingestion, transformation, orchestration) using SQL and Python
• Embedding strong engineering disciplines: Git, CI/CD, release management via Azure DevOps
• Contributing to pre-sales through proposal support, solution shaping and client-facing materials

Qualifications

• Strong academic record (ideally a relevant degree: computer science, software engineering, data engineering/analytics, information systems)
• 4+ years’ experience delivering data engineering / data platform engagements (ideally in professional services / consulting)

Required Skills

• Hands-on experience with modern cloud data platforms, including Microsoft Fabric and Azure Databricks
• Strong understanding of Azure data services and integration systems (e.g. Azure Data Factory, Azure Data Lake) and how they complement Fabric/Databricks
• Practical experience with Spark / PySpark (desirable but strong Spark experience counts)
• Experience implementing platform security practices (secure connectivity, secrets management, RBAC concepts) aligned to client policies
• Experience implementing data quality controls and validation checks, plus producing clear documentation for traceability and handover
• Confident leading workshops and engaging stakeholders at all levels — able to explain complex ideas to non-technical audiences
• London-based or willing to travel to London fortnightly

Preferred Skills

• Proposal writing / business development experience (bids and client presentations)
• Certifications: Azure Data Engineer / Fabric Data Engineer / Analytics Engineer / Databricks fundamentals

Pay range and compensation package

Fortnightly travel to London required.

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