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.