Industrial Placement - IT - Data Engineer

As an Industrial Placement Student at Bentley, you will play a key part in Bentley’s journey to extraordinary vehicles for our customers. Based out of our state-of-the-art headquarters in Crewe, you will be responsible for designing, building, and maintaining the data platforms, pipelines, and capabilities that enable Bentley to become the benchmark for customer and company performance metrics. By ensuring the availability, quality, security, and accessibility of data across the organisation, the role provides the foundation for trusted insight, effective decision-making, and data-driven innovation.

The role contributes to the delivery of Bentley's data strategy through the implementation of scalable data engineering solutions, supporting key areas including data architecture, governance, integration, and platform development. Working with data from a wide range of enterprise systems and external sources, the role ensures that data is collected, transformed, managed, and made available for analytical, operational, and business use cases.

At a mid-level of complexity, impact and risk, the role is responsible for developing and optimising data pipelines, data models, and data products that enable the efficient movement and utilisation of data across the enterprise. They collaborate with business and technical stakeholders to understand requirements, improve data quality, and support the delivery of reporting, analytics, and AI capabilities that drive measurable business value.

This role forms part of the central Data Office and works in partnership with teams across Bentley to strengthen organisational data capability, promote best practice, and enable the successful execution of Bentley's data and digital strategy.

Your main responsibilities include, but are not limited to:

• Development and maintenance of data pipelines operating in the Bentley Enterprise Data Platform
• Discuss and agree data requirements with business colleagues, turning these requirements into efficient data models
• Supporting the adoption of Snowflake, PowerBI and AI capabilities throughout the business as part of the implementation of the Bentley Data Strategy

About the Department

Bentley’s Data Office’s vision is to create a more connected and intelligent Bentley, where trusted data and responsible AI empower our people, connect decisions across the vehicle and customer lifecycle, and continuously raise the benchmark for performance, luxury and value. We deliver this vision through the provision of data and AI capability that enables the business to easily connect to data, analyse it and make informed decisions.

The team consists of Senior Data Engineers, Data Engineers and Degree Apprentices who are responsible for the delivery of data pipelines that delivers data efficiently to the business users. The Data Office sits within a wider IT team and operates a “Hub and Spoke” model (i.e. centralised data architecture and governance, federated analytics).

What we are looking for:

The successful candidates will be on track to achieve a 2:1 in the following degrees: Data Science, Computer Science, Artificial Intelligence or equivalent

Skills required for the role:

• SQL
• Python
• Data Modelling (RDBMS, Star Schema, Knowledge Graph, Medallion architecture)
• Database Management
• Microsoft PowerBI, Copilot Studio and AI Coding tools
• Basic knowledge of good data governance
• Experience with Snowflake and/or Databricks (desirable)

What we offer:

As an Industrial Placement you will have access to the following benefits:

• A starting salary of £25,500
• Support from our Early Careers team and 121 manager mentorship
• 35 days’ holiday inclusive of bank holidays
• 10% pension contribution with life assurance benefits
• Learning and development opportunities

Right To Work:

To be eligible for an Early Careers programme you must have a legal right to work in the UK for the duration of the placement or graduate scheme. We welcome students who have Settled Status, a Tier 4 Visa, or a Graduate Visa. We are unable to offer sponsorship for our Early Careers positions.

Application Process:

• Submit your application, including your CV and Cover letter,
• Applications will be screened by our HR team and the Hiring Manager,
• Shortlisted candidates will be contacted by our recruitment team and invited to attend an online Assessment between 9th – 27th November,
• Candidates successful at assessment stage will receive an offer shortly afterwards.
• All applicants will be kept informed throughout the recruitment process