2 of 2 Data Lake Jobs in Milton Keynes

Role: Head of Data Location: Milton Keynes (Hybrid 2 Days On-site Weekly) Salary: £50,000 - £60,000 Benefits: Bonus, Company Cars, Flexible Benefit Package Network IT is recruiting for a Head of Data to join a leading automotive brand's UK IT function. In this senior role, youll lead a high-performing data … IT, youll take ownership of operational excellence, stakeholder engagement, and vendor performance across a broad data estate including Azure Data Factory and Data Lake technologies. The role will combine hands-on technical understanding with strategic planning, people leadership, and commercial management. Key Responsibilities: Lead and manage a data-focused IT team … ideally within complex enterprise environments. Strong experience in IT service management, strategy planning, and business process alignment. Hands-on knowledge of Azure Data Factory, Data Lake , and data pipeline architecture. Proven experience managing data security, access, and regulatory compliance. Familiarity with automation tools (AI, RPA) and Agile project delivery (e.g. Scrum More ❯

Due to continued growth, we are currently looking for a Data Engineer to join our Professional Services division. You will be part of a cross-functional Data Consulting team spanning data engineering, data science, AI, analytics, and visualisation. You will work with clients across multiple sectors, helping them explore next-generation data techniques, AI capabilities, and tools to drive measurable business value from their data assets. A day in the life of an Aiimi Data Engineer: Collaborating with business subject matter experts to discover valuable insights in structured, semi-structured, and unstructured data sources. Using data engineering and AI techniques to help … processes while introducing and championing new technology. Technologies/Tools SQL coding skills ( essential ). Python coding skills ( essential ). Experience with Azure (ADF, Azure Databricks, Data Lake Storage, SQL DWH) or other cloud platforms ( essential ). Familiarity with distributed systems (Spark, Databricks, etc.). Familiarity with semi-structured and unstructured data formats. Knowledge of More ❯