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Data Engineer
4 months ago
Hours: 37 hours per week Do you want to join a business, who value inclusivity, a three-time gold investor in people award winner, an advocate of supporting women in engineering and developing their people to be the best they can be? We have an exciting opportunity for an experienced data Engineer to join an ambitious, highly regarded, scientific engineering / manufacturing business that are in a position of sustained growth. This is a customer facing role, with unique access to the MOD and Royal Navy , with the jobholder being viewed as an integral member of the MOD team. The role focusses on the operational outcome of the product, and provides an insight into the factors that influence product availability, including both the full range of internal functions and MOD areas that Industry staff are not generally engaged in. Benefits of working here:
- State of the art technology & innovation
- External learning and development encouraged
- Light and airy university type campus
- Friendly environment
- Restaurant, On site Medical Centre, Parking / Easy Access to train station, Coffee Shops & Onsite Shop, Sports & Social Club and More
- Developing and maintaining close working relationships with various stakeholders around the team, both internal and external
- Ensuring the timely supply of data from across the teams to enable the Stockpile model to be populated for both regular updates and ad-hoc assessments of potential solutions
- Carrying out programme level tracking and analysis of performance against defined targets, as well as supporting the definition of future targets based on historical performance and the need to maintain stockpile availability
- Producing data analysis, collation, and availability modelling baselines by using collected data to create scenarios to run through an existing MatLab model
- Producing and analysing ‘what-if’ scenarios to support the Customer decision-making process, ensuring the scarce resource is deployed, managed, and maintained for maximum operational benefit
- Presenting the outputs of all model scenarios, ‘what-if’ scenarios and programme performance metrics to the team at all levels
- Identifying model enhancements to support both increased functionality and scope
- Developing new visualisation methods to support the explanation of Stockpile status and impacts
- Basic code/model running mind-set
- Excellent Excel skills for front end visualisation and data interrogation (including VBA)
- A logical and analytic way of working that can spot inconsistencies/unexpected outcomes and support the development of explanations
- A strong technical understanding would be beneficial
- Interpretation of real-world changes and translation into modelling assumptions and variables
- Being able to communicate complex data and information at multiple appropriate levels
- Collating detailed analysis and graphical outputs into concise forms, pulling out the key points, and posing questions for consideration
- Understanding of why availability modelling and data tracking is important
