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Role: Data Engineer
Location: London, UK
INEOS Automotive – Grenadier – Built On Purpose
Scale-up business with large investment
Numerous opportunities to develop and progress
YOUR CAREER:As the Data Engineer of INEOS Automotive you will work within a scale-up and fast-moving environment. You will be surrounded by a team of experts in their field and be given the autonomy and freedom to develop the role as we grow.
OVERVIEW: The Data Engineer will help, design, develop, deliver, maintain, and support data pipelines for the all the INEOS Automotive Data and Analytics initiatives across INEOS Automotive.
Responsible for designing, building, and deploying data pipelines using the functionality available in Qlik Replicate, Compose and Azure Data Factory
Responsible for designing and building database schemas and associated data pipelines (extract, transform and load) routines / processes to facilitate the end-user data and analytics requirements
Responsible for understanding database structures and articulating these using industry standard methodologies such as Boyce-Codd (Relational), Innmon (Data Marts), Kimball (Data Warehouse) and Dan Lindst (Data Vault)
Responsible for scoping, designing, building, servicing, and supporting all new and existing data pipelines within the organisation with the goal of providing robust analytical solutions that support the strategic aims
Responsible for gathering, inspecting, cleaning, transforming, and modelling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making
Responsible for capturing data requirements to design, extend or maintain, logical and physical data models which support new and existing business initiatives
Responsible for creation and maintenance of the data artifacts (data catalogue and data dictionary) and system level documentation
Responsible for understanding functional and non-functional requirements to create appropriate and effective technical solutions
Responsible for designing and building workflows to facilitate process automation
Responsible for providing end user support, service, and delivery management
Responsible for the data acquisition estate and conducting approved technology upgrades, providing technical advice, product information and 3rd line support
Responsible for coding SQL and stored procedures, including testing and troubleshooting queries, execution plans, optimising models, and tuning code
Responsible managing software licences, application security (roles and permissions) and application workspaces within the Qlik Replicate, Compose and Azure Data Factory Platforms
DESIRED EXPERIENCE & SKILLS:
Experience with the development of data warehouse solutions
Experience of working on complex business intelligence programmes across divisions
Experience in time and project management using Agile or Waterfall principals
Experience of designing, developing, and implementing data pipelines, data lineage, taxonomies, catalogue, and metadata management processes
Experience of supporting and maintaining data pipelines, data lineage, taxonomies, catalogue, and metadata management processes
Experience with various forms of data storage, data warehouses and data lakes
Experience working with a wide variety of database platforms such as, Oracle, Postgres, SQL Server, Snowflake, Redshift etc.
Must be highly proficient with Microsoft suite including Word, PowerPoint, Excel, etc. especially Excel and PowerPoint. Will be expected to compile polished content including presentations
If the role sounds of interest and you want to learn more, please apply. If your application is successful one of the team will be in touch to arrange an initial conversation
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