Data Engineering Manager

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Job Purpose : The Data Engineering Manager ensures PTSG has the platform on which to deliver on its ambition to be a data led business, providing cost effective, efficient and scalable capability anticipating and delivering for future need in the context of the overall IT strategy.

From a delivery perspective, the role will initially focus on transforming our existing data warehouse into a data and analytics platform based on GCP, identifying need and opportunity for better use and structure of data / dashboards and delivering that through the platform. The role will also be responsible for supporting the integrating to system and client APIs and preparing the ground for future AI / ML need in the business.

The key differentiator we are looking for is someone who can build a data engineering capability from the ground up and build a team to support the businesses strategic growth ambitions.

Reporting to the Head of Data and Analytics, the role will deliver all aspects of change in scope of data engineering from demand planning through to handover into operational IT, retaining a responsibility to support IT operations in occasional exceptional / complex problems (3rd / 4th line). The role holder will align with agreed governance processes in terms of technology decision making (TDA), project change governance standards and service transition including CAB to ensure changes are aligned to the strategic roadmap and handed over efficiently for operational support.

The key success targets for the role relate to maintaining and delivering a rolling technology roadmap for data engineering that supports business need and budget targets and preparing the ground then delivering on AI / ML opportunity.

Key Accountabilities (major end results the job is expected to achieve) :

Key Responsibilities :

• Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of data.
• Collaborate with data scientists and analysts to understand data requirements and ensure the data infrastructure supports their needs.
• Monitor and troubleshoot data systems to ensure high availability and performance.
• Ensure data usage is monitored and optimised for effective cost management.
• Develop and maintain data models, schemas, and documentation.
• Ensure data security and compliance with relevant regulations and best practices.
• Stay up-to-date with the latest industry trends and technologies in data engineering.

Job Context / Key Challenges :

PTSG is a fast growing Private Equity backed organisation. It is highly acquisitive and the demand for IT service and support is high.

Although structured in 5 Divisions there are over 25 operating businesses making the business landscape complex and challenging.

IT is a critical part of the current and future success of PTSG and this is a key role in the success of IT. Reporting to the Head of Data and Analytics, this role will be at the centre of activity to deliver our data transformation journey.

At present, IT is several distinct environments supported by multiple teams that has developed as the company has acquired but often not technically integrated companies over recent years. This has been brought together as one organisation / budget at start 2025 and then a process of integrating IT infrastructure and systems will take place building a standard platform for future growth. Not everything will be integrated depending on the ROI. A key part of this role will be to help plan and oversee the delivery of, and migration to, a modern operational platform to help underpin future business growth. This platform will need to (over time) move from disparate, largely unconnected systems to a joined up platform sharing processes and data models integrated to minimise manual handoffs and spreadsheet type activity. Some decisions have been made eg Google Cloud Platform for hosting, data / analytics and APIs; Microsoft for office productivity and CRM; Sage in short term for Finance, with plans to gradually coalesce on a handful of operational / engineering systems including Dynamics integrated into the standard back office platform. The role holder will support the future roadmap to deliver the data platform change within the context of the agreed IT strategy.

Role Dimensions :

Person Profile (Qualifications, Knowledge, Skill and Experience) :

Organisation Structure (place in the organisation) :

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Industries

Facilities Services

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