{"id":3519,"url":"https://alion.io/job/capco-poland-senior-azure-data-engineer-databricks","title":"Senior Azure Data Engineer (Databricks)","company":{"id":1444,"name":"Capco","domain":"capco.com","url":"https://alion.io/company/capco-poland","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":76,"open_postings":120,"ghost_share":0.017,"stale_share":0.892,"repost_share":0.017,"time_to_fill_p50_days":42,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","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":80000,"max_usd":158000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":52},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"GDPR","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Jenkins","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Hadoop","optional":true},{"name":"Java","optional":true},{"name":"Scala","optional":true}],"status":"live","first_seen_at":"2026-02-04T15:20:09Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-11-01T10:51:29Z","board_verified":true,"closed_at":null,"days_open":269,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":269},"description":"Senior Azure Data Engineer (Databricks)\nLocation: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent\nEngineer advanced data solutions at scale in a world-class consulting environment.\nThe Role\nAs a Senior Azure Data Engineer (Databricks) at Capco, you will play a hands-on role in designing, building, and deploying scalable and secure data engineering pipelines using the Databricks platform on Azure. You'll partner with clients to understand their data needs and develop innovative solutions that drive business transformation. You'll also contribute to engineering best practices and continuous improvement across cross-functional teams. Databricks platform on Azure. You'll embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices.\nWhat You'll Do\nDesign and develop robust data pipelines using Delta Lake, Spark Structured Streaming, Unity Catalog, and Azure-native services.\nBuild real-time, event-driven solutions using technologies such as Kafka and Azure Event Hubs, applying AI-enabled engineering approaches where appropriate to improve delivery efficiency.\nDevelop and maintain CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, and modern DevOps practices to support reliable deployments.\nCollaborate with clients and multidisciplinary teams to translate business requirements into scalable, production-ready data solutions.\nChampion clean code, data lifecycle optimisation, engineering best practices, and the responsible use of approved AI tools and automation to improve collaboration and delivery.\nWhat We're Looking For\nProven hands-on experience with the Databricks platform, including orchestration and enterprise-scale Azure data engineering solutions.\nStrong technical skills in Python, PySpark, and SQL, with experience working with distributed data processing frameworks.\nExpertise delivering end-to-end data pipelines across ingestion, transformation, and serving layers within modern Data Lakehouse architectures.\nExperience with schema design, GDPR-compliant data solutions, DevOps tooling, and CI/CD processes.\nA collaborative approach to engineering with experience using AI-enabled tools responsibly to improve productivity while maintaining appropriate human oversight, governance, and solution quality.\nBonus Points For\nDevelopment experience using Scala or Java.\nFamiliarity with Cloudera, Hadoop, Hive, Spark, and related distributed data ecosystems.\nExperience working with sensitive data and applying data privacy regulations, including GDPR.\nCuriosity to explore new technologies, including responsible AI and automation, to continuously improve engineering practices.\nPassion for collaboration, knowledge sharing, and continuous learning within high-performing engineering teams.\nWhy Join Capco\nDeliver high-impact technology solutions for Tier 1 financial institutions.\nWork in a collaborative, flat, and entrepreneurial consulting culture.\nAccess continuous learning, training, and industry certifications.\nBe part of a team shaping the future of digital financial services.\nHelp shape the future of digital transformation across Financial Services & Energy.\nBenefits\nWe offer a competitive, people-first benefits package designed to support every aspect of your life:\nCore Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.\nMental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.\nFamily-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.\nFamily Care: Eight complimentary backup care sessions for emergency childcare or elder care.\nHoliday Flexibility: Five weeks of annual leave with the option to buy or sell holiday days based on your needs.\nContinuous Learning: Your growth, your way-minimum 40 hours of training annually through workshops, certifications, and e-learning. You'll also be assigned a Business Coach from day one to support your career development.\nHealthcare Access: Convenient online GP services.\n Extra Perks: Wellhub (Gympass), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.\nInclusion at Capco\nWe're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know-we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. 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