Senior Data Engineer

ANS Group Limited; Manchester; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading technology solutions provider is seeking a Senior Data Engineer in Manchester. In this role, you will build and optimise data pipelines using Azure technologies, collaborate closely with architects, and mentor junior engineers. You will also engage in continuous learning and contribute to a supportive work culture that values openness and innovation. The position offers competitive benefits including flexible working, private health insurance, and generous leave policies.

Benefits

25 days holiday plus options to purchase more

Private health insurance

Flexible working

Birthday off and extra celebration day

12 days of personal growth and development time

Qualifications

• Experience in building and optimising data pipelines in Azure Data Factory, Synapse or Fabric.
• Strong knowledge of Python and SQL.
• Experience in data governance and regulation including GDPR.

Responsibilities

• Build and optimise data pipelines in Microsoft Fabric and Synapse Analytics.
• Support Data Architects and Cloud Engineers.
• Collaborate with teams to ensure high-quality delivery of data solutions.

Skills

Building and optimising data pipelines in Azure Data Factory

Strong knowledge of Python

Strong knowledge of SQL

Using metadata frameworks

Experience with CI/CD

Understanding of Azure networking and security

Data governance and regulation knowledge

Lakehouse architecture and data warehousing

Familiarity with Microsoft Purview

Familiarity with Power BI and DAX

Job description

Overview

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 goals. 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 youll 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 (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 experience 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 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 everyone and you don’t have to be a techie to work in tech. Bring your authentic self and find your dream role here.

What’s in it for you

With fantastic benefits, an inclusive culture and a cool office space, this is your kind of workplace.

Company benefits

• 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; there are also 5 days for tying the knot, 5 days for getting married, 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 and a packed calendar
• Electric car scheme
• 12 days of personal growth and 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, sex or sexual orientation. Monitoring information may be collected for equal opportunities purposes only.