{"id":1201028,"url":"https://alion.io/job/assystem-data-engineer-databricks","title":"Data Engineer - Databricks","company":{"id":5278,"name":"Assystem","domain":"assystem.com","url":"https://alion.io/company/assystem","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":180,"ghost_share":0,"stale_share":0.994,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bristol, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":115000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":345},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Azure DevOps","optional":true}],"status":"live","first_seen_at":"2026-09-24T13:30:02Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-28T20:45:40Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About Assystem\nToday, Assystem is among the top three independent nuclear engineering firms worldwide. With over 60 years of experience in highly regulated sectors, the group supports public and industrial stakeholders in the execution of complex and strategic infrastructure projects, subject to high safety and security requirements.\nAssystem mobilizes 8,000 experts in 13 countries and intervenes across the entire project lifecycle, in engineering, project management and digital solutions.\nOverview\nWorking on a major nuclear power plant project with experience in Databricks, the Data Engineer will be responsible for designing, developing, testing, and supporting data products that underpin reporting, analytics, and operational decision-making across the project programme.\nWorking within a multidisciplinary Data & Analytics team, the successful candidate will use Databricks, SQL, Python, and Microsoft technologies to deliver robust, scalable, and maintainable data solutions. They will collaborate closely with Data Architects and Performance Analysts to transform business requirements into high-quality data products that support project performance reporting across safety, quality, schedule, cost, and operational functions.\nThis role requires a Data Engineer who can work independently, take ownership of technical delivery, and contribute to the continuous improvement of the organisation's data platform.\nKey Responsibilities\nData Engineering & Development\nDesign, develop, and maintain data products using Databricks and associated Azure technologies.\nBuild scalable ETL/ELT pipelines to ingest, transform, and load data from multiple enterprise systems.\nDevelop data transformations using PySpark, Spark SQL, SQL, and Python.\nCreate and maintain curated datasets that support business intelligence, reporting, and analytics.\nImplement data quality, reconciliation, validation, and monitoring processes.\nOptimise data pipelines and workloads to improve performance, reliability, and cost efficiency.\nSupport the development of reusable engineering frameworks, templates, and standards.\nDelivery & Support\nTranslate business requirements and functional designs into technical solutions.\nDevelop, test, document, and deploy data products in line with established engineering standards.\nSupport production data products and resolve issues impacting data quality or availability.\nParticipate in release, deployment, and change management activities.\nContribute to continuous improvement initiatives across the data platform.\nCollaboration & Governance\nWork closely with Data Architects to ensure solutions align with enterprise architecture and data standards.\nCollaborate with Performance Analysts and business stakeholders to understand reporting and analytical requirements.\nCommunicate technical solutions and implementation approaches clearly to technical and non-technical audiences.\nEnsure compliance with Information Design Authority (IDA) governance processes.\nMaintain appropriate technical documentation, data lineage, and support materials.\n Essential Skills & Experience\nDatabricks & Data Engineering\nMinimum 2 years' experience delivering data engineering or business intelligence solutions.\nStrong proven commercial experience with Databricks.\nStrong experience developing ETL/ELT pipelines and data integration solutions.\nExperience using Apache Spark, PySpark, and Spark SQL.\nStrong SQL development and optimisation skills.\nExperience working with large and complex datasets from multiple source systems.\nKnowledge of data modelling principles and analytical data structures.\nExperience implementing data quality and reconciliation processes.\nExperience working with Power BI and data visualisation solutions.\nUnderstanding of semantic models, reporting datasets, and business intelligence concepts.\nAbility to support analysts in delivering meaningful reporting and insights.\nDesirable Skills\nDatabricks certification.\nExperience within construction, infrastructure, engineering, utilities, energy, or regulated industries.\nFamiliarity with Integrated Management System (IMS) or similar governance frameworks.\nKnowledge of Power BI advanced features and dashboard development.\nExperience with automation using VBA or Python.\nExposure to Agile delivery methodologies.\nQualifications\nDegree or equivalent qualification in Computer Science, Data Engineering, Information Systems, Mathematics, Engineering, or a related discipline.\nRelevant Databricks, Azure, or Power BI certifications are desirable.\nSoftware Experience\nDatabricks\nSQL Server\nMicrosoft Azure\nAzure DevOps\nPower BI\nPython\n What we offer\nHybrid Working - Flexibility to work from home and the office\n25 Days Annual Leave + Bank Holidays\nBuy & Sell Holiday - Make your time off work for you\n8% Company Pension Contributions\nIncome Protection & 3x Salary Death-in-Service Cover\nCompetitive Sick Pay - Support when you need it\nHealthcare Cash Plan - Claim back on dental, optical & more\nFree Digital Gym Access - Expert-led fitness classes\nExclusive Discounts - Restaurants, days out & top brands\n24/7 Employee Support Line - Mental health, financial & legal help\nCycle to Work Scheme - Save money & go green\nFree Flu Jabs & Eye Test Vouchers\nPaid Professional Membership Fees\nVolunteer Days - Make a difference on company time\nJoin Assystem and become a key player in delivering critical nuclear projects that shape the future of energy. Embrace this opportunity to excel in a dynamic environment where your expertise and leadership will drive global innovation.\nNOTICE TO CANDIDATES ON RECRUITMENT FRAUD - We are committed to safeguarding candidates from fraudulent activity associated with our recruitment process. Please note that we will never offer specialist CV writing services, request payment or ask for sensitive personal information during the recruitment process.\nWe are committed to equal treatment of candidates and promote, as well as foster all forms of diversity within our company. We believe that bringing together people with different backgrounds and perspectives is essential for creating innovative and impactful solutions. Skills, talent, and our people’s ability to dare are the only things that matter !. Bring your unique contributions and help us shape the future.","description_format":"text","description_chars":6287,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Annual leave","Hybrid work"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy & Utilities"],"lifecycle":[{"event":"open","at":"2026-09-24T20:51:18Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":27,"reasons":["conf:3","stale_co","velocity","win:early","comp:junior,brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/assystem-data-engineer-databricks","json_url":"https://alion.io/job/assystem-data-engineer-databricks.json","meta":{"generated_at":"2026-09-29T04:38:24Z","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":4395,"day_limit":5000,"remaining_today":605,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}