Job Description

At ANS, the Data Engineer plays a vital role in enabling data-driven decision-making by developing and maintaining reliable data pipelines, supporting data integration efforts, and working closely with senior engineers and architects to ensure technical alignment. While not responsible for leading solution design, they contribute hands-on expertise to implementation, data transformation, and performance optimisation--helping convert raw data into trusted, usable assets that support internal teams and customer outcomes.

What you'll be doing...

Deliver high-quality data solutions by building and optimising data pipelines, notebooks, and data flows in Microsoft Fabric and Synapse Analytics, connecting to a variety of on-premises and cloud-based data sources Work closely with Data Architects and Senior Data Engineers to implement technical designs and contribute to solution development Collaborate with customer-side data engineers to ensure smooth integration and alignment with business requirements Focus on task execution and delivery, ensuring timelines and quality standards are met Follow engineering best practices including CI/CD via Azure DevOps, secure data handling using Key Vault and private endpoints, and maintain code quality Participate in Agile ceremonies such as standups, sprint planning, and user story refinement Document solutions clearly for internal use and knowledge sharing Troubleshoot and resolve technical issues across environments and subscriptions Engage in continuous learning through certifications (e.g. DP-600 and/or DP700, AI-900, AI-102, 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 experience required...

Experience in building and optimising pipelines in Azure Data Factory, Synapse, or Fabric 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 Base knowledge 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 Power BI and DAX is a plus Base knowledge of Azure foundry
At ANS, we've created a place where everyone can be themselves, and we empower our people to get the job done. Openness, ambition, honesty, and passion are what drive us every day. We are bold, courageous, and innovative - and we do it like no other. We invest in our people. In training, development, health and more - we give you the benefits and flexibility to maintain a happy work-life balance.


We're proud of the inclusive, fun, dynamic environment we've created. It's a safe space that works for all. You don't have to be a techie to work in tech. Bring your authentic self and find your dream role here. Find out more at LinkedIn pages



With fantastic benefits, an inclusive culture, and a cool office space, we're your kind of workplace.

As standard: 25 days' holiday, plus you can buy up to 5 more days A little extra: we'll give you your birthday off, and an extra celebration day for whatever you want! Tying the knot? You get 5 days' additional holiday in the year you get married. Oh, and 5 volunteer days! Private health insurance Pension contribution match and 4 x life assurance Flexible working and work from anywhere for up to 30 days per year (some exceptions) Maternity: 16 weeks' full pay, Paternity: 3 weeks' full pay, Adoption: 16 weeks' full pay Company social events - get ready for a jam-packed calendar Electric car scheme 12 days of personal growth development time

ANS are an equal opportunities employer. We encourage diversity and anyone applying for a role at our organisation can be assured that their application will be treated fairly, regardless of age, disability, gender reassignment, gender expression, marriage and civil partnership, pregnancy and maternity, race, religion or belief and sex or sexual orientation. We sometimes ask for information relating to individuals for equal opportunities monitoring purposes only.