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Databricks Engineer

00069959051

Role: Databricks Engineer

Location: London (3 days in a week)

Employment: Fulltime

Role Overview

We are seeking an experienced Azure Databricks Data Engineer to design, develop, deploy, and optimize scalable data solutions on Microsoft Azure. The ideal candidate will bring strong hands-on expertise in Azure Databricks, Apache Spark, PySpark, Python, and SQL, with proven experience building production-grade data pipelines, implementing governance through Unity Catalog, and automating deployments using GitLab-based CI/CD and Databricks Asset Bundles.

Key Responsibilities

  • Design, build, test, and maintain scalable batch and streaming data pipelines using Azure Databricks, Apache Spark, PySpark, Python, SQL, and Delta Lake.

  • Develop reusable ETL and ELT frameworks for data ingestion, transformation, validation, and publishing across lakehouse layers.

  • Design and manage Delta Tables, including schema evolution, data quality controls, reliability, and performance optimization.

  • Implement data governance, access control, cataloging, and lineage standards using Unity Catalog.

  • Create, schedule, monitor, and troubleshoot production workloads using Databricks Jobs and workflows.

  • Package and deploy Databricks resources across environments using Databricks Asset Bundles and GitLab-based CI/CD pipelines.

  • Integrate Databricks with Azure Data Lake Storage and Azure Data Factory for secure, reliable data processing.

  • Optimize Spark workloads, clusters, jobs, and storage patterns for performance, scalability, reliability, and cost efficiency.

  • Apply coding standards, version control, testing, documentation, and operational best practices using GitLab and Azure DevOps.

  • Collaborate with architects, analysts, and engineering teams to translate business requirements into maintainable technical solutions.

Required Skills and Experience

  • Strong hands-on experience with Azure Databricks and the Apache Spark execution architecture.

  • Advanced proficiency in PySpark, Python, and SQL for large-scale data processing and transformation.

  • Practical experience with Delta Lake, Delta Tables, Unity Catalog, Databricks Jobs, and Databricks Asset Bundles.

  • Proven experience designing and operating production-grade ETL or ELT pipelines on Azure.

  • Hands-on experience implementing CI/CD pipelines using GitLab, including automated validation and multi-environment deployments.

  • Working knowledge of Azure Data Lake Storage, Azure Data Factory, and Azure DevOps.

  • Demonstrated ability to tune Spark workloads and troubleshoot data pipeline performance and production issues.

  • Strong understanding of data engineering, governance, security, version control, testing, and deployment best practices.

Preferred Qualifications

  • Databricks Certified Data Engineer Associate or Professional certification.

  • Microsoft Azure data engineering certification or equivalent cloud certification.

  • Experience with medallion architecture, data quality frameworks, streaming pipelines, infrastructure as code, or lakehouse monitoring.

  • Exposure to enterprise data governance, regulated environments, or large-scale cloud data modernization programs.


About Cognizant: 
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

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