The Opportunity:
We are supporting a major public sector organisation on the appointment of an experienced Data Engineer to join a high-profile data and analytics programme on an initial 6-month contract basis.
Working within a multidisciplinary data team, you will play a key role in designing, developing and optimising modern cloud-based data solutions that support critical environmental, scientific and operational decision-making across the organisation.
This role offers the opportunity to work with large-scale data platforms, geospatial datasets and advanced analytics capabilities, helping to drive innovation and improve access to trusted, high-quality data.
The successful candidate will contribute to the ongoing development of the organisation's strategic data capabilities, including work across the client’s advanced cloud-based analytics platform built on Microsoft Azure and Databricks that enables our client to process large-scale environmental and geospatial datasets.
If you are an experienced Data Engineer with strong Azure data platform expertise and a passion for delivering high-quality data solutions, we would be delighted to hear from you.
Role and Responsibilities:
* Design, build and maintain scalable data pipelines and data engineering solutions.
* Develop and optimise Azure-based data platforms and services.
* Support the ingestion, transformation and management of structured and unstructured datasets.
* Build robust ETL and ELT processes to support analytics and reporting requirements.
* Work closely with data scientists, analysts, architects and business stakeholders to understand and deliver data requirements.
* Support the development and enhancement of enterprise data models and data architecture artefacts.
* Manage and optimise data storage solutions including cloud-based data lakes.
* Ensure data quality, integrity, governance and security standards are maintained.
* Support the delivery of geospatial and location-based data solutions.
* Develop technical documentation and contribute to best practices across the data engineering function.
* Assist with platform modernisation, automation and continuous improvement initiatives.
Skills and Experience:
* Proven commercial experience working as a Data Engineer within complex data environments
* Strong experience designing and developing Azure-based data solutions
* Hands-on experience with: Azure Databricks / Azure Data Lake / Azure Data Platform technologies
* Strong SQL and data transformation skills
* Experience building scalable ETL/ELT pipelines
* Experience working with large and complex datasets
* Understanding of data governance, data quality and metadata management principles
* Strong analytical and problem-solving skills
* Excellent stakeholder engagement and communication capability
Experience working with the following is highly-desirable:
* Power BI
* ArcGIS
* QGIS
* Geospatial or spatial data platforms
* Experience contributing to enterprise data architecture initiatives
* Familiarity with Sparx Enterprise Architect (EA Sparx)
* Experience supporting cloud-based analytics and reporting platforms
* Public sector, environmental, scientific or regulatory sector experience
* Experience working within Agile delivery environments
NB: The successful candidate will be required to undergo a basic level of security clearance before undertaking the assignment (around two weeks’ lead-time).
Applications:
To learn more about this newly created opportunity consulting as an Azure-focused Data Engineer for an initial 6 month engagement, operating on a remote-working basis; please call and speak with Edward Laing here at ISR Recruitment or please send through a copy of your latest online profile and/or CV for an immediate call back in the strictest confidence.
Please contact Edward Laing here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology??
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