Databricks Data Engineer
EXL
- +2
- +2
- Manchester, England, United Kingdom
- +2
- +2
- Manchester, England, United Kingdom
Über
Bridging domain expertise with robust data, powerful analytics, cloud and AI, EXL creates agile, scalable solutions for the world’s leading corporations. Founded on a core of innovation, collaboration, excellence, integrity and respect, EXL delivers value from data to faster decision‑making and business transformation across industries such as insurance, healthcare, banking and financial services, media, and retail. BU/Segment: Analytics / Data Management / Insurance Domain | Location: Manchester, United Kingdom Job Summary We’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.
As part of this role you will build scalable pipelines, optimise performance, and maintain best practices in data quality and governance, with a strong emphasis on Azure and Databricks, and insurance domain knowledge. Responsibilities
Design, build and deploy scalable data pipelines using Azure Databricks, Azure Data Factory and Azure SQL Database. Optimize Databricks environments for performance, cost and security. Develop and maintain data integration, ETL/ELT processes and data‑quality frameworks. Translate business requirements into data models, ensuring consistency and accuracy across data layers. Collaborate with stakeholders to deliver effective data solutions and analytics. Produce technical documentation including data‑flow diagrams, architecture designs and test plans. Stay current with emerging data‑engineering and Azure ecosystem technologies to drive continuous improvement.
Required Qualifications and Experience
Insurance industry experience is essential, with a strong understanding of policy, claims and regulatory data. Minimum of 5 years’ management experience; leading technical delivery or overseeing project teams within data engineering or integration environments. 8–10 years’ experience in data engineering and integration, ideally in enterprise‑scale environments. Hands‑on experience with Spark (PySpark/SparkSQL), ETL/ELT design and data‑pipeline orchestration. Strong data‑modelling skills (Dimensional, ODS, Data Vault) and experience with data‑warehousing concepts. Experience working with large, complex datasets and distributed computing environments. Proficiency in SQL, version control (e.g. Git) and CI/CD pipelines. Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.).
Preferred Skills & Experience
Knowledge of Enterprise Data Management practices, data governance, metadata management and lineage tools. Exposure to multi‑cloud environments (AWS or GCP). Understanding of modern data‑architecture philosophies and real‑time cloud data capabilities.
Benefits
A competitive salary with a generous bonus. Private healthcare, critical‑illness life assurance at 4 × annual salary and income protection insurance. Rewarding pension scheme and employee stock purchase plan (ESPP). Financial well‑being solutions such as cashback cards and a cycle scheme. Extensive professional and personal development opportunities, including online courses, seminars and workshops. Flexible hybrid working model to support a balanced, healthy lifestyle. Commitment to equal opportunity; EXL is an equal‑opportunity employer that does not discriminate on race, religion, colour, national origin, sex, sexual orientation, age or disability status.
Eligibility To be considered for this role you must already be eligible to work in the United Kingdom. Seniority Level: Associate Employment Type: Full‑time Job Function: Engineering, Consulting, and Information Technology Industries: Business Consulting and Services; Insurance; Technology, Information and Media #J-18808-Ljbffr
Wünschenswerte Fähigkeiten
- Azure Data Factory
- SQL
Berufserfahrung
- Data Engineer
- DevOps
Sprachkenntnisse
- English
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