Data Engineer

An exciting and rapidly expanding name within the eCommerce game that has over 80 years’ experience atop the industry, our client is a ground-breaking organisation that, since its formation in 1981, has remained true to its trademark family-owned, grassroots approach to business.

They’re currently on the lookout for an experienced Data Engineer to play a key role in the management, optimisation and transformation of the brand's data.

Working alongside a close-knit team of data specialists, It’s a great opportunity for a hands-on and detail-oriented figure that will see you working side by side with Data Architects on massive transformation projects including the creation of a bespoke data platform and more!

Salary: Up to £35K-40k depending on experience

Location: 3 days a week in Manchester

Some of your other responsibilities include:

• Utilise Azure services and work alongside cross functional teams to turn business requirements into actionable Data Engineering solutions
• Establish close relationships with BI Developers, Product Owners, C Suite and more
• Design and develop Power BI reporting solutions and play a key role in with data model design and DAX expression development.
• Streamline the setup and enhancement of Azure Synapse environments, including workspaces, data lakes, pipelines, and data integration processes.
• Create and set up efficient data structures like models, warehouses, and marts to support reporting, analytics, and data visualisation needs
• Build effective data pipelines and ETL processes to move and transform data from different sources into Azure Synapse Analytics. Use tools like Azure Data Factory, Azure Databricks, or other relevant technologies for this purpose.
• Establish strong data governance practices by incorporating data lineage, metadata management, data quality monitoring, and access controls.
• Regularly watch and improve the Azure Synapse Analytics setup by fine-tuning queries, adjusting partitioning, optimizing indexing, and refining caching strategies.
• Ensure you data troubleshoot and support through root cause analysis, performance bottleneck reduction and more
• Keep on top of all relevant documentation (E.G data flow diagrams, data models, system architectures and more)

Some of the skills you’ll need:

• Relevant commercial experience or qualifications in a similar computer science field (Azure Data Engineer, Azure Synapse Analytics)
• Comfortable working with Azure services and Azure Synapse Analytics
• Highly skilled in SQL with experience in data integration, ETL, and data pipeline development
• Background working with data warehousing concepts, data modeling techniques, and database design principles
• Proven programming skills in Python, Spark, PySpark, SparkSQL, with the ability to write efficient, maintainable code
• Basic understanding of GDPR

Next Steps:

For more information regarding the company’s expansion plans and your integral way of delivering them, get in touch with us and we’ll be sure to give you the full rundown