AMS Group

Data Platform Lead

Manchester

Posted 9 days ago

Early applicant

On-site

Full-time

Senior Level

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.

Evolving from a family run accountancy practice in a Blackburn (established 1982), to a nationwide advisory business with over 200 employees, across 12 offices, our trading divisions comprise Audit, Accounts, Tax & Advisory with multiple service lines within each division. We leverage our relationship-driven client approach to generate significant cross-sell opportunities. Complementary to our organic growth is an impressive M&A strategy, with eight acquisitions completed since 2021 and further strategic acquisitions planned in 2025.

At AMS we never offer a one size fits all approach. We know, in today’s economic environment, businesses require bespoke support, and we provide end-to-end services from start-up to exit strategies. Our mantra is “Good advisers help your business. Great ones transform it”. This is the foundation upon which we have built our business.

We know great people make a great business. Our award-winning culture drives our success. In 2024, we were named the 7th Best Accountancy Firm to Work for in the UK and featured in the Top 100 Companies to Work For. We’re proud to be recognised as Best Employer in Tax (Tolley’s Taxation Awards 2025) and Employer of the Year (GM Chamber of Commerce Awards 2024), reflecting our commitment to people, culture, and a workplace where talent thrives.

The opportunity AMS is building its data capability from the ground up. This is the first dedicated data role in the business, responsible for designing and delivering the core data platform that will support reporting, automation, AI and future growth. Reporting directly to the CTO, this is a hands‑on, high‑impact role in a greenfield environment. For at least the first 6–9 months, you’ll operate as the standalone senior data authority, requiring strong ownership, pace and pragmatism.

What you’ll be responsible for Designing and building the end‑to‑end data platform using the Microsoft ecosystem (Azure, Fabric, Databricks, Power BI) Creating scalable data pipelines, models and reporting layers Integrating data from core business systems across finance, CRM and operations Delivering high‑quality board, executive and operational reporting Defining and standardising KPIs to establish a single source of truth Partnering with senior stakeholders to translate business needs into data solutions Setting pragmatic data governance, security and quality standards Laying the foundations for a future data function, including standards and ways of working

What we’re looking for Proven experience as a Senior Data Engineer / Data Platform Engineer / Data Lead A track record of building a data platform from scratch in a low‑maturity or greenfield environment Strong hands‑on capability with SQL, Python, ETL/ELT pipelines and data modelling Solid experience across Azure data services, Microsoft Fabric, Databricks and Power BI Confidence engaging senior stakeholders and shaping direction, not just delivering tickets

Experience in professional services or multi‑entity environments is advantageous, as is exposure to data governance tooling or AI‑enablement use cases.

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.

Skills

Data Engineering

Data Platform Engineering

Data Governance

SQL

Python

ETL

ELT

Data Modelling

Azure

Microsoft Fabric

Databricks

Power BI

Stakeholder Engagement

Reporting

Automation

AI