Lead Data Consultant
HybridLondon, England, United Kingdom
Job Summary
Provide expert advisory services to clients on advanced analytics and data engineering best practices, ensuring delivery of scalable and efficient solutions. Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Capture client requirements and lead the development of solution architectures that meet both current and future business needs. Design and develop bespoke Data Platform, Business Intelligence & Advanced Analytics solutions, leveraging the latest cloud technologies. Lead the design, implementation, and optimisation of enterprise data engineering solutions on Microsoft Fabric and Azure Databricks, delivering robust, secure, and scalable data products that support analytics, reporting, and AI use cases. Build and oversee the development of dynamic, interactive reports and dashboards using Power BI, ensuring clear, actionable insights for clients. Guide teams in data modelling and transformation efforts, ensuring the development of optimised data architectures, including the design of ETL/ELT pipelines. Mentor and guide junior team members, sharing knowledge and best practices to support their professional development. Deliver data and analytics solutions on time and to budget for UK clients while maintaining a flat hierarchy and learning culture.
Required Qualifications
- 10+ years of experience designing and delivering cloud-based Data Engineering, Analytics, and AI solutions, ideally within a consulting or systems integration environment
- Extensive experience in a client-facing role, previously working for a consultancy or systems integrator, with a proven track record of leading teams or projects
- Hands-on experience with modern programming languages such as Python and SQL
- Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks
- Expertise in data visualisation and analytics using Power BI, QlikView or Tableau
- Strong experience in data modelling and transformation, including the design of ETL/ELT processes and data warehousing solutions
- Experience or awareness of Big Data and Data Science and/or AI technologies, including the integration of Machine Learning models and/or Generative AI components
- Demonstrated leadership within the Data Engineering and AI domain, acting as a trusted advisor to clients and internal teams
- Excellent communication, problem-solving, and client management skills, with proven experience of leading teams
- Active Security Clearance or eligibility to obtain Security Clearance
Desired Qualifications
- Experience working within a consulting or systems integration environment
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