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Lead Support Data Engineer

Lead Support Data Engineer

  • Location


  • Sector:


  • Contract type:


  • Salary:

    £60000.00 - £70000.00 per annum + Plus benefits

  • Contact:

    Taela Elms

  • Contact email:

  • Job ref:


  • Published:

    2 months ago

  • Expiry date:


  • Consultant:


Lead Support Data Engineer (Azure)

Up to £70K plus benefits including bonus

Flexible working - In office once a fortnight or more remote options available to suit you

Gleeson Recruitment Group are working with a leading FS organisation based in Birmingham. They are looking for a Lead Support Data Engineer to not only lead on the Data Engineering side but also in the support function for the Data Centre of Excellence.

The Lead Support Data Engineer is expected to lead the technical engineering operational function ensuring the team provides full support of all information provision from the DCOE and managing all aspects from the service design operation of the service including line management. As a senior team member, it is expected that this role will work with the other leads on joint aspects of the data engineering function.

This role is key to achieving success within the Data Excellence pillar of our Data Strategy which has a primary objective of getting the right data, to the right people, at the right time by developing our flexible data architecture.

Must have experience with and want to get involved in the support side of things (defining and managing the processes / SLAs / what we can and cant do - managing tickets etc)

Role responsibilities:

  • Lead the operation; maintenance and support of the DCOE information services including managing the team who provide these services
  • Ensure any incidents or issues are proactively managed and clearly communicated to all relevant stakeholders
  • Ensure all information services run smoothly and that the processes to deliver the services are well designed and operate effectively and are proactively monitored
  • Ensure all the infrastructure resources used for the data services are fully supported by the IT function and build strong working relationships with the IT teams that perform support
  • Design and develop the support service, creating innovative solutions that ensure the services are performing at the highest standards
  • Create the organisational policies, standards, and guidelines so the service is effective and well managed including planning future capacity requirements
  • Design, own and implement standards for monitoring and error handling in the design of the ETL and other ingestion services
  • Ensure that all artefacts that form the solutions are developed to the agreed standards and meet all requirements to be supported - leading the peer reviews and release management for both major release and small change
  • Manage the small change process prioritising; scheduling and resourcing the changes as well as managing the communication and presentation to stakeholders.
  • Work with the development teams for creation of the complex solutions for data integration, ingestion, and data dissemination to ensure solutions include functionality to enable proactive monitoring and to manage the smooth handover from development to production
  • Lead the test activities and acceptance processes in the delivery framework
  • Ensure all monitoring and issue management is managed
  • Design and manage all the BAU processes
  • Manage access management and security of the data
  • Guides decisions in respect of resource availability and functional objectives
  • Develop innovative solutions to very complex issues and acts as best practice/quality expert within and outside the team in Data Engineering
  • With the team design, develop, construct, test and maintain the operational and dimensional data models within the warehouse systems
  • Devise and manage ways to improve data reliability, efficiency and quality of the data
  • Working closely with the Data Architects to ensure all aspects of the data management are managed and coordinate with the other teams in the DCOE and Architecture to ensure the methods and strategies are correctly aligned to the requirements for data

Experience needed:

  • Expertise in Service Management and operational support
  • Expert in the field of the data engineering and exemplar for the rest of that team
  • Expert in operational support of complex ETL solutions
  • Experience in designing and managing information services
  • Expert at developing data transformations (ELT/ETL) and delivering data for analysis
  • Expertise in developing data solutions establishing enterprise data warehouses and other complex data service platforms especially in a cloud environment
  • Expertise in data modelling including designing transactional databases and data warehouses
  • Degree level expertise in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, economics)
  • Experience of designing and implementing data solutions on Azure utilising Azure Blob Storage, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL Database, Azure Databricks and Azure Synapse Analytics
  • Expert knowledge of T-SQL

Please apply asap if interested and want to hear more. GleeIT

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