3 of 3 Data Lake Jobs in Buckinghamshire

Senior Data Engineer

Hiring Organisation
ScaleOps Search Ltd
Location
Milton Keynes, Buckinghamshire, UK
Employment Type
Full-time
leading data consultancy is seeking an experienced Senior Data Engineer to join their team and deliver cutting-edge solutions for a major transportation project. This is an exciting opportunity to work on a high-impact initiative for a well-known UK transport provider, leveraging modern cloud … Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice-to-Have Experience with Scala for Spark development. Knowledge of CI/CD pipelines ...

Data Migration Engineer

Hiring Organisation
Kinetech Recruitment
Location
Milton Keynes, Buckinghamshire, South East, United Kingdom
Employment Type
Permanent, Work From Home
Data Migration Engineer (Dynamics CE Focus/ERP) Permanent | Fully remote, competitive salary + bonus We are looking for a hands-on Data Migration Engineer to join a fast-growing, acquisition-led organisation. Your core mission will be to migrate operational (CRM) and in time, finance … into Dynamics (or similar ERP platforms) Experience working with messy, real-world data Exposure to Azure-based environments (Data Lake, Fabric, etc.) Why Join? High visibility, business-critical role Direct ownership of outcomes Exposure to multiple systems and acquisitions Opportunity to become ...

AI Director

Hiring Organisation
Global University Systems
Location
Milton Keynes, Buckinghamshire, UK
Employment Type
Full-time
continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates … such as Azure OpenAI/OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service bus). Exposure to MLOps and observability tools (e.g., MLflow/ ...