{"id":1173906,"url":"https://alion.io/job/rtx-principal-data-engineer","title":"Principal Data Engineer","company":{"id":1162,"name":"RTX","domain":"rtx.com","url":"https://alion.io/company/raytheon-technologies","size_band":"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":10,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-09-26T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":168000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":19},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Apache NiFi","optional":false},{"name":"AWS","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenShift","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-24T10:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-27T02:06:13Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Date Posted:\n2026-09-24\n\nCountry:\nUnited Kingdom\n\nLocation:\nLondon, London, City of\n\nPosition Role Type:\nOnsitePrincipal Data Engineer\nLocation: London\nPermanent\nOnsite\nDue to the interesting work we do and the sector this team is working in, we require all candidates to hold an active eDV clearance for this role.\nAbout us\nAt Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.\nAs a leading defence and aerospace company operating across the United Kingdom, Raytheon UK helps to solve our customers’ toughest challenges. We are a major supplier to the UK government and customers around the globe, providing defence solutions across all domains: land, sea, air, space, and cyberspace. We also provide digital and training transformation solutions to commercial and military customers.\nWith circa 2000 employees and major facilities operating throughout the UK including Broughton (Wales), Livingston and Glenrothes (Scotland), and Harlow, Gloucester, and Manchester (England); we are committed to investing in British careers and technology development.\nCyber\nOur National Security Cyber business delivers mission-critical solutions that safeguard our national security 24 hours a day, seven days a week. Working in a mature, agile environment, our SCRUM teams work synchronously with our customers to solve some of the toughest digital challenges faced in the world today.\nRole & Responsibilities\nYou'll be part of our experienced Software Engineering function, working in a cross-functional Agile team. The Principal Data Engineer role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use.\nBuild data pipelines that clean, transform, and aggregate data from disparate sources\nCollaborate with stakeholders and other engineers\nContribute to the completion of milestones associated with your project\nContribute to continuous improvement within your team\nCollaborate with your peers on technical direction within your team\nRequirements/knowledge (you don't need everything)\nExperience of working in an Agile delivery team\nStrong analytic skills related to working with unstructured datasets\nPython (PySpark, Pandas, PyArrow)\nDistributed data processing (Apache Spark)\nData ETL (Apache Airflow, AWS Step Functions, Apache NiFi)\nCloud services (AWS, Azure or GCP)\nMessaging / Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services)\nSQL and NoSQL\nStorage (HDFS, Iceberg, Elastic, S3, Data Lake)\nContainerisation and orchestration (Docker / Kubernetes / Openshift)\nTesting frameworks and best practices\nUse of Code repositories, familiarity with branching strategies, pull requests and merge processes\nWe appreciate you may not be an expert in every area above - we can support with training and development in some areas! Please do make an application and we will identify where we can best support your growth specific to your application.\nBenefits:\n£: Competitive salary\nContributory Pension Scheme (up to 10.5% company contribution)\n6 times salary ‘Life Assurance’ with pension\n25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)\nCompany bonus scheme (discretionary)\nFlexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others\nEnhanced sick pay\nEnhanced family friendly policies including enhanced maternity, paternity & shared parental leave\nWork Culture\n37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.\nEarly 1.30pm finish Friday, start your weekend early!\nRemote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role.\nUp to 5 paid days volunteering each year.\nFlexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team.\nRTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.\nRTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.\nPrivacy Policy and Terms:\nClick on this link to read the Policy and Terms","description_format":"text","description_chars":4849,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Parental leave"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Space & Aerospace"],"lifecycle":[{"event":"open","at":"2026-09-24T10:00:00Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":16,"reasons":["conf:2","win:early","comp:brand"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/rtx-principal-data-engineer","json_url":"https://alion.io/job/rtx-principal-data-engineer.json","meta":{"generated_at":"2026-09-27T03:53:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3623,"day_limit":5000,"remaining_today":1377,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}