Purpose Of The Role
The purpose of the role is to design, build, and manage scalable data solutions focusing on the ingestion, transformation, and management of large datasets across real‑time analytics environments. This includes developing robust and efficient data pipelines, ensuring secure and well‑governed data access, and optimising system performance. The role also involves analysing business requirements to ensure data is accessible and usable for decision‑making, while carrying out platform administration, monitoring, and maintenance to support reliable and secure operations.
Main Responsibilities
* Develop and maintain data infrastructure, data warehouses, and big data processing systems.
* Build data pipelines that clean, transform, and aggregate data from disparate sources.
* Build solutions for automated ingestion and data versioning (e.g. Time Travel).
* Provide technical skills and support to other areas for Fabric components under the team’s control.
* Ensure data accuracy, reliability, security, and compliance with policies.
* Work with analysis engineers, analysts, developers and business teams to understand needs and deliver solutions.
* Re‑engineer manual processes for scalability and efficiency.
* Deliver project tasks to agreed timescales and provide technical expertise to ensure project success.
* Ensure business continuity strategy is appropriate for purpose and is always delivering.
* Report on work in progress and any problems and performance issues.
* Perform established procedures to accredited standards on an ongoing basis.
* Contribute to the planning, research, recommendation, and implementation of current and future IT strategies.
Essential
* Demonstrable experience of Spark (PySpark) and SQL.
* Demonstrable experience of Fabric components.
* Demonstrable experience of working on enterprise environments.
* Experience of designing architectural Fabric processes.
* Experience of Azure Data Factory.
Desirable
* Demonstrable experience of Oracle PL/SQL or SQL Server.
* Demonstrable experience of data visualization/exploration tools.
* Understanding of Project Life Cycles.
* Ability to make recommendations that will benefit the organisation, which are cost‑effective and timely where possible.
* Able to deliver innovative solutions for problems encountered within the scope of Data Engineer duties.
* Continuous improvements to existing team processes and monitoring.
Company Benefits
* 28 days annual leave plus Bank Holidays
* Annual leave Buy & Sell scheme
* Enhanced Salary Sacrifice Pension Contributions
* Life Assurance up to 6 × Base Salary
* Simply health – Healthcare plan (Upgrades available)
* Car Salary Sacrifice Scheme
Length of service & T&Cs apply.
Diversity and inclusion have long been at the heart of IMSERV’s success. As we continue our growth, our focus remains on ensuring that equality, diversity, and inclusion remain central to our business and recruitment practices. We recognise that we operate in an industry in which there has traditionally been a lack of diversity, and we are keen to encourage applications from as inclusive a group as possible. We recognise that a balanced workforce encourages collaboration and innovation, promotes entrepreneurship and a feeling of ownership.
Please note that we reserve the right to close this position before the expiry date.
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