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Azure Data Engineer
1 month ago
Azure Data Engineer – Liverpool, Manchester, Birmingham, Cardiff, Bristol, London We are WSP.
Join us and make your career future ready
In today's world it's important to work for a company that has clear purpose, giving back to communities and supporting what is truly important in the world.
WSP is looking for an experienced Data Engineer/Developer to join our industry-leading Intelligent Infrastructure team.
We provide technical professional services to transport clients throughout the UK and overseas to deliver tangible value through technology-enabled change.
As a WSP Data Engineer/Developer, you will play a key role in technical delivery while also leading tasks within a team to provide quality assurance, consultancy, and advisory services on client-facing projects.
In addition to challenging and stimulating projects, you will be able to access a range of benefits, including targeted professional development and training to help you grow and develop at WSP.
YOUR ROLE: Act as a technical lead during client engagements, providing credible insights and demonstrating practical experience in solving complex data and architecture challenges Estimate, Design, Build and Deliver Azure data solutions using industry best practice Perform quality assurance reviews of project documentation or consultancy deliverables, ensuring accuracy, clarity, and alignment with best practices and client requirements Help to support and maintain new and legacy software systems, ensuring timely and effective resolutions while maintaining clear communication with stakeholders.
Input to the continuous improvement of practice and standards within the team Provide consultancy and advisory services, guiding clients on best practices for cloud data architecture and software solutions Provide contributions to the future technical strategy of the team WE'D LOVE TO HEAR FROM YOU IF YOU HAVE Excellent analytical skills and a proven ability to think creatively to solve problems Ability to understand the E2E view of the data lifecycle from creation/ingestion to analysis and define appropriate data models and transformations Significant experience in the development of data solutions within Azure, utilising functionality such as Azure Data Factory, Databricks (e.g.
pyspark/python), Synapse Analytics, Logic and Function Apps and Azure SQL In depth experience with data integration and ingestion from various sources such as API, excel, csv; data transformations; and pipelines using structured/unstructured data.
Strong experience of working in an Agile delivery team and developing and deploying applications using DevOps practices in a production environment through a CI/CD pipeline.
Demonstrable experience of testing across e2e lifecycle, including ETL, Unit, Regression Strong technical leadership skills, demonstrating the ability to effectively lead and collaborate with other developers and teams to solve technical problems and achieve project goals Excellent communications skills and experience working directly with clients and customers, to provide credible insights and guidance Expertise in carrying out quality assurance activities and offering guidance on best practices for cloud data architecture and software solutions.
A degree in an analytical discipline such as engineering, mathematics, computer science, economics, social sciences, or equivalent industry experience.
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