At a Glance
- Tasks: Design and build a cutting-edge data platform using Microsoft technologies.
- Company: Join AMS Group, a top UK accountancy firm with an award-winning culture.
- Benefits: Enjoy 23 days holiday, bonus schemes, health plans, and more.
- Other info: Opportunity for career growth in a dynamic, inclusive environment.
- Why this job: Be the first Senior Data Engineer and shape the future of data at AMS.
- Qualifications: Significant experience in data engineering and strong technical skills required.
The predicted salary is between 60000 - 80000 £ per year.
AMS Group is a leading UK Top 60 accountancy firm with a differentiated advisory-led proposition, headquartered in Manchester. We have been a trusted name in professional services for over 40 years. Our commitment to excellence and customer satisfaction has positioned us as a premier provider in the market.
The Opportunity
AMS is embarking on a major transformation programme and is building its data capability from the ground up. As our first dedicated Senior Data Engineer, you will play a pivotal role in shaping how data is collected, modelled, governed and used across the organisation. This is a rare greenfield opportunity: you’ll design and build the core data platform, establish engineering standards, and deliver high-impact reporting and analytics that support decision-making across the business.
Key Responsibilities
- Data Engineering & Platform Build
- Design and build the AMS data platform, primarily within the Microsoft ecosystem (Azure, Fabric, Databricks, Power BI).
- Develop robust ingestion pipelines (ETL/ELT), integration patterns, and orchestration workflows.
- Create scalable data models (dimensional, semantic) to support cross division reporting and consolidated group insights.
- Implement best practice engineering standards for performance, reliability, security and maintainability.
- Build high quality dashboards and reporting products for Board and Executive teams, Divisional leadership, Finance and operational management.
- Define and standardise KPIs, metrics and reporting definitions across the organisation.
- Establish a business glossary, data dictionary and shared KPI catalogue.
- Implement data governance foundations including data ownership and stewardship, classification and handling standards, access controls and role based permissions, lineage and auditability.
- Define and embed data quality rules, monitoring and remediation processes.
- Ensure compliance with GDPR, confidentiality requirements and audit obligations.
- Work closely with senior stakeholders to translate business needs into data requirements, models and reporting solutions.
- Partner with our MSP to deliver platform components while retaining architectural ownership.
- Prioritise data initiatives to ensure focus on high value outcomes.
- Help define the AMS data operating model, including what is delivered internally vs via MSP.
- Contribute to the future build out of a small, high performing data team (e.g., BI/Data Engineers).
- Champion a data driven culture across the organisation.
Skills & Experience
- Essential
- Significant experience in a senior data engineering or data platform role (Senior Data Engineer, Lead Data Engineer, Data Architect, BI Engineering Lead).
- Proven experience building a data platform and analytics capability in a greenfield or low maturity environment.
- Strong hands on technical skills: Advanced SQL, Data modelling (dimensional, semantic, performance optimisation), ETL/ELT pipeline design and troubleshooting, Python for transformation, automation and pipeline development.
- Deep familiarity with Microsoft data technologies: Azure Data Services, Microsoft Fabric, Azure Databricks, Power BI (including semantic models, governance, optimisation), Purview or similar governance tools.
- Strong understanding of data security, access models and auditability.
- Ability to operate at pace, create structure, and deliver in an environment where foundations are still being built.
- Comfortable working independently and owning the end to end data engineering function.
- Experience in professional services, multi entity groups or M&A heavy environments.
- Experience working with MSPs or blended delivery models.
- Familiarity with regulated or compliance heavy environments.
- Exposure to analytics/AI enablement (even if not building advanced models directly).
Benefits
- 23 days Holiday
- Additional day off for birthday
- Bonus scheme
- Pension scheme
- Health cash plan
- Company sick pay
- Enhanced parental pay policies
- Perkbox
- Cycle to work scheme
- Employee Assistance Programme
- Company pension scheme
AMS Group is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Senior Data Engineer in Manchester employer: AMS Group
Contact Detail:
AMS Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at AMS Group on LinkedIn. Ask them about their experiences and any tips they might have for landing the Senior Data Engineer role. Personal connections can give you an edge!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves building a data platform, be ready to discuss your experience with Azure, SQL, and ETL processes. We want to see how you can contribute to our greenfield project!
✨Tip Number 3
Showcase your problem-solving skills! During interviews, be prepared to tackle hypothetical scenarios related to data governance and quality. We love candidates who can think on their feet and come up with innovative solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in being part of the AMS Group family.
We think you need these skills to ace Senior Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data platforms, especially in greenfield environments, and showcase your technical skills in Microsoft technologies like Azure and Power BI.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for AMS. Share your passion for data engineering and how you can contribute to our transformation programme. Don’t forget to mention any relevant projects or achievements!
Showcase Your Technical Skills: In your application, be specific about your hands-on experience with SQL, ETL/ELT pipelines, and data modelling. We want to see how you've used these skills to drive results in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at AMS!
How to prepare for a job interview at AMS Group
✨Know Your Data Tools
Familiarise yourself with the Microsoft data technologies mentioned in the job description, like Azure, Databricks, and Power BI. Be ready to discuss how you've used these tools in past projects, especially in building data platforms or analytics capabilities.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data engineering, particularly in greenfield environments. Highlight your experience with ETL/ELT pipeline design and how you optimised data models for performance.
✨Understand the Business Context
Research AMS Group and their advisory-led approach. Be prepared to discuss how your role as a Senior Data Engineer can support their mission of transforming businesses through data-driven insights.
✨Engage with Stakeholders
Think about how you would collaborate with senior leadership and managed service providers. Prepare to share your strategies for translating business needs into effective data solutions and how you would champion a data-driven culture within the organisation.