This is a , Full Time vacancy that will close in {x} days at {xx:xx} BST.
The Vacancy
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 Engineers by 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 engineers and 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
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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