{"id":1622744,"url":"https://alion.io/job/exl-senior-data-engineer-databricks","title":"Senior Data Engineer (Databricks)","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":161000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"GCP","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-08-25T06:19:03Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-01T20:51:11Z","board_verified":true,"closed_at":null,"days_open":37,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":37},"description":"EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world’s leading corporations.\nEXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others.\nHeadquartered in New York, our team is over 60,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com.\nRole Title: Databricks Data Engineer\nBU/Segment: Analytics / Data Management / Insurance Domain\nLocation: London, United Kingdom (Hybrid, 3-4 days in the office)\nEmployment Type: Permanent to start ASAP\nSummary of the role:\nWe’re looking for a highly skilled Azure Databricks Data Engineer to design, develop and deliver cloud-based data integration and analytics solutions within our Insurance portfolio.\nYou’ll work across data engineering, modelling, and transformation initiatives - building scalable pipelines, optimising performance, and ensuring best practices in data quality and governance. This is a hands-on technical role requiring strong Azure and Databricks experience, coupled with solid Insurance domain knowledge.\nAs part of this role, you’ll have the opportunity to work on high-impact Insurance data transformation programmes, collaborating with experienced data professionals in a forward-thinking, innovative environment. You’ll gain exposure to cutting-edge Azure and Databricks technologies.\nAs part of your duties, you will be responsible for:\nDesign, build, and deploy scalable data pipelines using Azure Databricks, Azure Data Factory, and Azure SQL Database.\nOptimise Databricks environments for performance, cost, and security.\nDevelop and maintain data integration, ETL/ELT processes, and data quality frameworks.\nTranslate business requirements into data models, ensuring consistency and accuracy across data layers.\nWork with stakeholders to deliver effective data solutions, analytics.\nCreate technical documentation including data flow diagrams, architecture design, and test plans.\nStay current with emerging data engineering and Azure ecosystem technologies to drive continuous improvement.\nQualifications and experience we consider to be essential for the role:\nInsurance industry experience is essential, with a strong understanding of policy, claims, and regulatory data.\n\nMinimum of 5 years’ management experience required - leading technical delivery or overseeing project teams within data engineering or integration environments.\n\n8-10 years’ experience in data engineering and integration, ideally in enterprise-scale environments.\n\nDeep expertise in Azure Databricks, Azure Data Factory, Azure Synapse, and Azure Data Lake.\n\nHands-on experience with Spark (PySpark/SparkSQL), ETL/ELT design, and data pipeline orchestration.\n\nStrong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts.\n\nExperience working with large, complex datasets and distributed computing environments.\n\nProficiency in SQL, version control (e.g. Git), and CI/CD pipelines.\n\nFamiliarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.).\n\nPreferred Skills & Experience:\nKnowledge of EDM (Enterprise Data Management) practices, data governance, metadata management, and lineage tools.\n\nExposure to multi-cloud environments (AWS or GCP).\nUnderstanding of modern data architecture philosophies (Dimensional, ODS, Data Vault) and real-time cloud data capabilities.\nAs part of a leading global analytics and AI solutions company, you can look forward to:\nA competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.\nEXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories.\nAt EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies.\nAs an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.\n EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP).\nAtEXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.\nTo be considered for this role, you must already be eligible to work in the United Kingdom.","description_format":"text","description_chars":5506,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-01T20:51:11Z"}],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.577,"p_room":0.45,"age_days":37,"expected_fill_days":24,"reasons":["conf:5","win:tail","comp:brand"],"computed_at":"2026-10-02T01:51:51Z"},"pay":null,"html_url":"https://alion.io/job/exl-senior-data-engineer-databricks","json_url":"https://alion.io/job/exl-senior-data-engineer-databricks.json","meta":{"generated_at":"2026-10-02T01:51:51Z","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":2405,"day_limit":5000,"remaining_today":2595,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}