Data Engineer

Requisition ID
Work Location
Department / Discipline
Noise & Vibration
Position Type
Staff / Permanent

Overview / Responsibilities

Wood is recruiting for Data Engineer to join our Vibration, Dynamics & Noise (VDN) team within our Asset Performance Optimisation Consulting business.


Join a culture of innovation, pushing the boundaries of what is possible to seek the best solutions for our clients.


The Role


We are seeking to recruit a Data Engineer to an exciting and challenging role, offering the opportunity to be part of a leading organisation. The work will be delivered within a small agile team of Engineers, Data Scientists, and Domain Experts.


We are looking for someone who can help our clients to optimise their asset maintenance through data mining and management, as well as automating data processing and creating bespoke visualisations and software solutions.


This role is based in either Glasgow or Southampton UK offices (including option of hybrid home working) although occasional travel may be necessary to visit other offices and clients.


Our Clients and Projects


It’s a future for all of us. We aspire to shape a better tomorrow by unlocking solutions that address the biggest challenges facing our clients and our society.


Within Wood’s Asset Performance Optimisation business, the Vibration, Dynamics and Noise (VDN) team encompasses 200+ engineering specialists in 11 offices worldwide providing engineering solutions and services to the energy (conventional and renewables) utilities, and pharmaceutical industries. We service a varied client base worldwide, including World-class energy companies, utilities, power generation companies, pension funds, Technology Innovation and Research Centres – to name but a few. We provide value add services bespoke to the clients' requirements across, technical specialists, project management, owners engineering through all the phases of the project lifecycle. We collaborate with large and small businesses to lead our communities into a brighter and more sustainable future.


Our team works closely using innovative software and advanced analytics to help our customers meet their reliability, integrity, and operational performance goals.


What we can offer

  • Meaningful and interesting projects delivered to leaders of industry across renewables and emerging energy sectors
  • Flexible working arrangements that balance client, team and individual needs offering hybrid and remote working where relevant
  • Commitment to Diversity and Inclusion; we are an organisation actively committed to diversity and inclusion across our business
  • Competitive salary with regular salary reviews to ensure we are rewarding at the right level in line with the market
  • Flexible benefits package; inclusive of 33 days annual leave (including public holidays), generous contributory pension scheme, private medical cover, 4x base salary life insurance; all of these and more that can be adapted to suit your own lifestyle
  • Commitment to continued professional development; development plans that are tailored to your individual needs and interests
  • Global connections; join experts around the world who are at the leading edge of our industry, shaping the standards of our profession

If all of this sounds good to you, review the typical responsibilities of the role and the requirements of the position below, then follow the link to apply and start your journey with Wood.


Typical responsibilities


We are looking for someone who enjoys working with internal and external clients as well as technical experts, to help drive decarbonisation and optimisation across a number of industries.

  • Help our clients to optimize their asset management solutions, while understanding their processes and challenges
  • Collaborate with engineering teams to diagnose and resolve issues in our asset management implementations
  • Assist clients and the team in developing, maintaining, and improving their databases
  • Engage in problem solving and actively support processes like data extraction, ingestion, ETL, calculations, outlier analysis, and standard outputs
  • Document, track, and monitor our application's bugs, problems, and issues to ensure timely resolution
  • Checking data and product quality to identify anomalies and inconsistences, and assisting in resolution
  • Developing a processional working relationship with clients, and assisting in the development of workscopes

Skills / Qualifications

Skills / Qualifications


Please see below the requirements that we typically seek for the position. We are not expecting candidates to have everything, and this is not an exhaustive list. If you feel you have relevant experience and qualifications even if they are not a 100% match, then please do apply.



  • Degree in Engineering, Computer Science (or similar) with good academic record
  • Experience in data architecture, data integration and data manipulation at scale
  • Experience of software development tools and processes
  • Hands-on experience with data technologies such as relational databases and ETL tools
  • Knowledge of complexities and challenges with ETL solutions and data flow processes
  • Knowledge of programming languages such as C# and Python as well as Javascript and web markup languages (html, css, svg)
  • Comfortable learning new technologies and working in a fast-paced environment
  • Aptitude to solve problems and ability to initiate, refine and complete tasks
  • Ability to communicate effectivity and work as part of a team

At this time, we will only consider applications who have legal permission for full time work in the UK.



  • Experience in packaged software implementation, end user training on software applications, end user support, or related activities
  • Comfortable with continuous deployment, operation, and monitoring of data solutions and their associated infrastructure
  • Experience with internal and external client interactions
  • Analytical skills and knowledge of statistical methodologies, data / text mining techniques, algorithm development, machine learning and other techniques.
  • Knowledge of different enterprise data mining tools (such as SAS Enterprise Miner).
  • Experience with Azure and visualisation packages such as PowerBI
  • Technically proficient in MS Azure, Azure Synapse, Data Bricks, Data Factory

Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world’s most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people.

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

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