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Senior Engineer - Data Engineer (Manufacturing Design Systems)

Queens University
Belfast
9 months ago
Applications closed

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The Advanced Manufacturing Innovation Centre are seeking engineers who want to innovate and apply their knowledge to the challenges of industry and society to support Digital Design and Manufacturing Engineering activities within AMIC. You will apply your specialist knowledge and experience of methods and processes, to generate innovative research outputs which have a direct economic and technical benefit to companies and sectors. You will work collaboratively with your team, industry, technology providers, national technology centres and academia to deliver key projects focused on advanced manufacturing. About the person: The successful candidate must have, and your application should clearly demonstrate that you meet the following criteria: Honours degree or equivalent in computing, engineering or a related discipline with significant relevantindustrial experience OR minimum HND in a related discipline with extensive recent and relevant industrial experience Recent relevant experience as a data integration engineer within an industrial or R&D setting, preferably witha focus on engineering design and product data management. Demonstrable proficiency in data transformation and analytics techniques to harmonise and understandstructured, semi-structured, and unstructured datasets Strong knowledge of ETL tools and data integration platforms Proficiency in SQL and experience with relational databases Demonstrable hands-on experience with programming and scripting highlighting evidence of one or more ofthe following: Strong skills in Python, Java, or C# for developing integration workflows. Proficiency with data manipulation libraries like Pandas, NumPy, and data visualisation tools. Scripting expertise (e.g., Bash, PowerShell) for automating integration tasks. Demonstrable evidence of data integration between IT/OT domains, preferably with a focus on design and manufacturing systems (e.g. CAD, CAM, MES, ERP, PLM, etc). To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website. Skills: Senior Data Engineer Benefits: Work From Home

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