ETIC, Data Engineer, Associate

Role Overview

Join our Data engineering, Reporting and Analytics practice, supporting clients in delivering transformation projects across the commercial sector. Work across a portfolio of clients, with a focus on large and complex organisations.

What You Will Do

Design and build data infrastructure and systems to enable efficient data processing and analysis. Develop and implement data pipelines, data integration, and data transformation solutions.

Why It Might Be a Fit

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. You will work in the team that reports to the Data Analytics delivery service leadership team.

Requirements

• 1-3 years hands-on experience of Azure Data Factory, Data Lake Storage, Files, Blob, Synapse, Data Lake Analytics, Event Hub, Data Catalog, Stream Analytics.
• +1 years of hands-on experience of data analytics solutions on cloud platforms
• Well versed in data architecture approaches to ingest, model and serve data from various sources including structured and unstructured data sources.
• Comfortable in implementing the right solution, whether that is ELT or ETL.
• Experience in the delivery of solutions through the full lifecycle of a enterprise data platform implementation, including data warehouses, Big Data, MDM and DQM / data profiling
• Modern data lakes and data warehouse solutions.
• Data modelling – the ability to design and implement data models from conceptual through to physical which could include slowly changing dimensions or single customer views
• Dimensional Modelling
• Experience in infrastructure elements of a cloud platform including the setup and implementation of DevOps, networking and security elements.
• Having experience within at least one business area function (e.g Marketing, Sales, Finance, Workforce, Procurement etc.)
• Experience in adapting your communication style to help translate complex technical information to audiences unfamiliar with the technologies.
• Foundational understanding of Data & Analytics architectures, definition of KPIs / metrics and insight requirements
• You should have foundational delivery knowledge in at least one of the following vendors: SAP Business Analytics, Oracle, Cognos, Informatica, IICS, SSIS, Datastage, Talend, data warehouse and data management vendors
• Experience in SQL and performance tuning of queries, ensuring solutions are both scalable and maintainable
• Some practical knowledge of core data modelling, manipulation and visualization skills- for example using tools such as Excel, Alteryx, Power BI / Tableau / Qlik