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European Tyre Enterprise Limited is an international tyre and automotive service, maintenance and repair business group with annual sales revenues of more than £1 billion across five countries in Europe.
We operate multiple retail brands including Kwik Fit with over 800 centres in the UK and Netherlands as well as Stapletons Tyre Services which sells over 6 million tyres to trade customers in the UK.
Our primary purpose is to keep drivers safe on the road and we achieve this by being the number one choice for our customers, a leading automotive aftermarket employer and an acknowledged innovator in our industry. We can only accomplish this with great people at the heart of what we do.
In choosing to build your career with us you’ll be joining a dynamic and diverse team striving to be the best.
Reporting to the Data Platform Manager, the Data Engineer will ingest data from a range of sources and transform it for downstream use, contributing to data modelling, analysis, and the broader development of the data platform such that the enterprise is provided with a trusted and reliable data platform.
The Data Engineer will join a team establishing a new Data Platform for ETEL, working with other parts of the business to migrate data from legacy systems and establishing pipelines to move data from new applications to the data platform while adopting standard best practices. Starting with Stapleton’s, as the platform is established and the programme progresses, the Data Engineering team will expand the platform across the ETEL group, bringing in new data sources from our other business streams including Kwik Fit, Central Tyres, Murfitt’s, Fettle and ETEL head office functions (Finance, People, Property, etc).
During and following the programme the Data Engineer will participate in the development and adoption of the ETEL data environments across technical and associated business teams, responsible for ensuring that all relevant data is provisioned to our data lake and warehouse environments, data is accessible to other business applications, reporting and analytics teams, relevant data governance and security policies and procedures are applied to our data environments, and helping develop and deliver a future-proof data strategy, maintaining standards and best practices for data provisioning and data integration.
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The role will successfully design, implement, monitor and improve our data and BI reporting platforms to fulfil our business needs and meet our technical requirements. This will be achieved by these activities:
Requirement gathering and analysis
Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues
Own and develop relationships with specific third party suppliers, agreed with the Data Platform Manager
Design
Creating, designing, and developing data model
Develop conceptual/logical/physical data models
Contribute to the creation of activity and project plans, agreed with the Data Platform Manager
Implementation or coding
Build data pipelines for data throughout the Azure Data Platform stages, integrating data management best practices at all stages (Azure Synapse, PostgreSQL, ADF, Python)
Develop data sets which are optimised for their given use case, e.g. self-service analytics
Migrate data from legacy reporting solutions onto the Azure Data Platform, ensuring that data integrity and service levels are maintained
Automation of end-to-end data flows
Creation of data sets for analytics and data scientist team members
Deployment
Follow the release management process as agreed with the Data Platform Manager
Design and implement an Agile work management approach
Manage code quality and security policies by adhering to best practices(GDPR)
Responsible for updating documentation such as data mapping and wiki’s
Integration of Code (Azure DevOps)
Maintenance
Maintenance of Reference Data applications (e.g. Products MDM)
Participate in Change management processes and BAU
Out of hours on-call support required for escalated business critical issues
Monitoring and tuning data loads and queries
Monitor and maintain the data architecture (e.g., data layers)
Provide subject matter expertise to consumers
Create and manage the Tableau site's users and groups
Responsible for Tableau application maintenance
More than three years experienced in data or technology roles, such as architecture, operations, and design related disciplines.
At least three years of experience in Azure (Azure Synapse, Azure Databricks, Fabric, PySpark).
Comprehensive experience with data modelling
Experience across a range of other IT functional disciplines will be of benefit, including: Data Platform tools CI/CD using Azure DevOps IT Security practices Development tools and languages (e.g. Python / SQL)
Data Platform tools
CI/CD using Azure DevOps
IT Security practices
Development tools and languages (e.g. Python / SQL)
UK-headquartered private tyre distribution, automotive service, and tyre-recycling group serving drivers, fleets, dealers, and trade customers.
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Mid · 3+ years experience
Hybrid
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