data engineer Work, Jobs in felixstowe (with Salaries)

Digital & Data Engineer (2 Year FTC)
Bouygues Construction —Ipswich
- Hybrid work
- Management
- Computer Science
- SQL
Data & Analytics Senior Test Engineer
Transport for London —Pier
- £65,000 - £75,000 a year
- Full-time
- Hybrid work
- Oracle
- Computer Science
- SQL
- Annual leave
- Employee discount
2d

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Digital & Data Engineer (2 Year FTC)

Bouygues Construction -
Ipswich

Apply Now

Job details

Fixed term contract

Qualifications

Power BI
Data modelling
Management
Computer Science
SQL
Data pipeline
SharePoint
APIs
Python

Full job description

As part of Bouygues Construction's Public Works division, VSL International participates in the construction of major technical structures and guarantees their structural safety and durability: transport infrastructure (bridges, tunnels), industrial and energy production structures, and commercial buildings.

VSL's business is based on four areas of expertise:

Structural systems and technologies
Civil engineering
Foundations and soil engineering
Preservation, structural repairs, renovation and optimization of structures.

VSL has 4,000 employees at 25 locations worldwide (Asia and Oceania, Middle East, Europe, Latin America, Canada).

Position

We are seeking a Digital & Data Engineer to support the rollout of digital systems and deliver robust data solutions across our ground engineering operations.

This is a hybrid role combining digital implementation and data engineering, focused on improving how site data is captured, integrated, and used. You will work closely with site teams, project managers, and digital specialists to ensure accurate, timely, and structured data is available to support operational performance, commercial tracking, and data-driven decision-making.

This position is ideal for an early-career to mid-level professional looking to build experience across both digital delivery and data engineering within a major infrastructure environment.

Main Responsibilities

Digital Rollout

Deploy and configure digital tools and systems across the project (e.g. site reporting and data capture platforms)
Drive adoption of digital solutions and workflows across site teams
Provide training, user support, and troubleshooting to ensure effective use of systems
Act as the interface between site teams and the digital team to align solutions with operational needs
Monitor system usage and continuously improve digital processes based on user feedback

Data Modelling & Transformation

Design, develop, and maintain scalable data pipelines using Python and SQL
Integrate external data sources via APIs, including authentication, extraction, and automated ingestion
Transform raw data into structured, analytics-ready datasets aligned to project data models
Monitor and maintain data quality across all stages (raw to processed to reporting)
Implement automated workflows, including incremental loads and validation checks
Ensure consistency, integrity, and reliability of data across systems
Translate business and operational requirements into scalable data solutions
Produce clear technical documentation covering pipelines, data models, and integrations

Data Engineering

Design, develop, and maintain Power BI dashboards and reports
Create visualisations that clearly communicate trends, patterns, and exceptions
Build automated refresh schedules, row-level security, and governance standards
Ensure reports meet accessibility and usability standards for end users

Data Governance & Compliance

Ensure compliance with UK data protection and information governance requirements (including GDPR)
Proactively identify and resolve data quality issues
Support best practices in data management and standardisation across the project

Stakeholder Engagement & Support

Work closely with site teams, engineers, and project leadership to understand operational needs
Communicate technical concepts clearly to non-technical stakeholders
Support adoption of digital tools and data-driven ways of working
Collaborate with IT and digital teams to ensure alignment across systems and processes

Continuous Improvement

Identify opportunities to improve processes, automation, and efficiency
Contribute to the ongoing development of digital and data capabilities across the project
Stay up to date with relevant tools, technologies, and industry best practices

Education

Degree in Computer Science, Data Science, Civil Engineering, Geotechnical Engineering, or a related discipline preferred

Experience

Experience in digital system rollout, implementation, or user adoption in operational environments
Exposure to data engineering concepts (data pipelines, APIs, data modelling)
Experience working with stakeholders across technical and non-technical teams
Strong problem-solving skills with attention to detail
Comfortable working with data across multiple systems

Technical Skills

Proficiency in Python, SQL, Power Automate, Power App, SharePoint list integration and Workflow Automation
Understanding of data engineering principles and data lifecycle management
Experience with APIs and data integration
Familiarity with cloud data platforms (desirable)
Ability to translate operational/site requirements into digital and data solutions

Interested? Apply now and let's build the great structures of tomorrow together!

Apply Now

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