At ANS, the Senior Data Engineer plays a key role in delivering robust, scalable data solutions by building and optimising data pipelines, supporting integration efforts, and collaborating closely with architects—who lead on design—to ensure alignment with architectural standards. While there may be times where the Senior Data Engineer is responsible for designing solutions on smaller projects, the primary responsibility is to contribute technical expertise to implementation, troubleshooting, and performance tuning, helping transform raw data into actionable insights that support both internal teams and customer outcomes.
What You'll Be Doing
* Build and optimise data pipelines, notebooks, and data flows in Microsoft Fabric and Synapse Analytics, connecting to a variety of on-premises and cloud based data sources.
* Support Data Architects and Cloud Engineersby implementing solutions based on provided designs and offering feedback where needed
* Collaborate across disciplines to ensure high-quality delivery of data solutions, including working with presales, managed services, and customer teams
* Mentor Data engineersand support their development through guidance and task distribution
* Ensure best practice adherence in engineering processes, including CI/CD via Azure DevOps and secure data handling (e.g. Key vault, private endpoints)
* Contribute to Agile delivery by participating in standups, user story creation, and sprint planning
* Document implemented solutions clearly and accurately for internal and customer use
* Troubleshoot and resolve issues across subscriptions and environments.
* Work closely with the Project Manager (where applicable) to align on delivery timelines, report progress, and manage risks, while also acting as a key point of contact for customer SMEs
* and engineers to support collaboration and clarify technical requirements.
* Engage in continuous learning through certifications (e.g. DP-600 and/or DP700, AI-900, AI102, etc.) and development days
* Contribute to the Data Engineer Guild by sharing knowledge, participating in discussions, and helping shape engineering standards and practices
* Information security is considered, and employees have a duty and responsibility to adhere to business policies and procedures.
Skills And Experienced Required
* Experience in building and optimising pipelines in Azure Data Factory, Synapse, or Fabric
* Strong knowledge of Python and SQL
* Experience in using metadata frameworks in data engineering
* Experience in best practice data engineering principles including CI/CD via Azure DevOps or Github
* Understanding of Azure networking and security in relation to the data platform
* Experience of data governance and regulation, including GDPR, principle of least privilege, classification etc.
* Experience of lakehouse architecture, data warehousing principles, and data modelling,
* Familiarity with Microsoft Purview in a data platform context.
* Base knowledge of Azure foundry
* Familiarity with Power BI and DAX is a plus
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