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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.

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.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

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What I value most about working at Cognizant is the opportunity to innovate while delivering real business impact. My role allows me to combine strategy, technology, and collaboration across global teams, which makes every project meaningful. The support for continuous learning and innovation has been instrumental in my growth.
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Cognizant has one of the best learning ecosystems you can ask for. From sponsored certifications to training platforms to mentorship, we have all that we need to grow.
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Cognizant offers me more than a job; it offers a community. We support each other, collaborate across borders and celebrate wins together. If you’re looking for a culture that values flexibility, diversity and growth, this is the place to be.
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When I first joined, I was quiet and hesitant to share my thoughts. The leadership programs and the mentoring I’ve received have helped me find my voice and grow as a leader.
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I’ve had the chance to work on impactful projects and shadow colleagues, all while getting involved in internal initiatives. The world is your oyster at Cognizant—you just need to take advantage of it!
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