This is a , Full Time vacancy that will close in {x} days at {xx:xx} BST.
The Vacancy
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
Why work for ANS?
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.
What’s in it for you?
With fantastic benefits, an inclusive culture, and a cool office space, we’re your kind of workplace.
Company benefits
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.
The Benefits
The Benefits
Work from anywhere
Private Medical
Pension Scheme
Life Assurance
Volunteer Days
Electric Vehicle Scheme
Personal Development Days
Ride to Work Scheme
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