{"id":3705723,"url":"https://alion.io/job/rolls-royce-data-engineer","title":"Data Engineer","company":{"id":4431609,"name":"Rolls-Royce","domain":"rollsroyce.com","url":"https://alion.io/company/rollsroyce-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":6,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Derby, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Linux","optional":false},{"name":"MS SQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-11-03T21:00:03Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-06T11:49:18Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Description\nData Engineer\nDerby\nFull time\nAn exciting opportunity has arisen for a Data Engineer to join the team.\nAs a Data Engineer, you will work on implementing complex data projects with a focus on collecting, parsing, managing, analysing and visualising large sets of data to turn information into value using multiple platforms.\nYou will work with business analysts and data scientists to understand customer business problems and needs, secure the data supply chain, implement analysis solutions and visualise outcomes that support improved decision-making for customers.\nYou will understand how to apply technologies to solve big data problems and develop innovative big data solutions.\nWhat you will be doing:\nWorking with colleagues to understand and implement requirements.\nSecuring the data supply chain, understanding how data is ingested from different sources and combined or transformed into a single data set.\nAnalysing, cleansing, joining and transforming data.\nImplementing designed and specified solutions into the chosen platform.\nWorking with colleagues to ensure the on-premises and cloud infrastructure available is capable of meeting solution requirements.\nPlanning, designing and conducting tests of implementations, correcting errors and re-testing to achieve acceptable results.\nManaging data, including security, archiving, structure and storage.\nPosition Qualifications:\nDegree-level education in Mathematics, a Scientific, Computing or Engineering discipline, or equivalent experience.\n5+ years of experience across various levels of Data Engineering roles, including 3 years in a technical lead role managing end-to-end solutions.\nHands-on experience with Azure Databricks using PySpark, with the ability to undertake cluster capacity planning and workload optimisation.\nHolds Security Check (SC) clearance OR Eligible for Security Check (SC) clearance level and willing to apply for one through RR and go through the vetting process to successfully receive the SC clearance.\nExperience designing solutions using databases and data storage technologies, including Relational Database Management Systems (RDBMS), specifically MS SQL Server.\nExperience building and optimising Big Data pipelines, architectures and data sets using Microsoft Azure data management and processing components across IaaS, PaaS and SaaS implementation models, including custom components.\nExperience using Azure Data Factory.\nProficiency in Python scripting, including experience using Python modules for data munging.\nUp-to-date knowledge of data processing technologies and platforms, such as Spark (Databricks).\nExperience in data modelling to optimise solution performance.\nExperience using Azure DevOps, with exposure to Continuous Integration and Continuous Delivery/Deployment (CI/CD).\nExperience of defining data contract and implementing it through relevant data management practices using processes and tools\nPreferred Requirements:\nGood understanding of infrastructure components and their application within different types of data solutions.\nExperience designing solutions deployed on Microsoft and Linux operating systems.\nExperience working in an agile environment within a self-organising team.\nOur vision is to ensure that the excellence and ingenuity that shaped our history continues into our future. Our multi-year transformation programme aims to turn Rolls-Royce into a high-performing, competitive, resilient and growing company. Join us, and it can be your future vision too.\nRolls-Royce are committed to being a respectful, inclusive, and non-discriminatory workplace where individuality is valued, diverse perspectives fuel innovation, and everyone can thrive.\nPlease be aware that the priority will be given to employees identified as being at high risk.\nThis job is advertised at the grades shown, and this is the desired operating level for this role. 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