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Genpact

Data Engineer

London
Posted about 22 hours ago
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Ready to build the future with AI?

At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Lead Data Engineer

In this role, you will Design and optimize scalable data pipelines on Azure Databricks using PySpark and Spark SQL, implementing distributed transformations and architecting Delta Lake tables aligned to Medallion (Bronze/Silver/Gold) principles. Develop modular frameworks and orchestrated workflows with incremental processing patterns while ensuring performance optimization, data quality governance, operational logging, and successful migration of legacy workloads into Spark-native solutions. Onsite requirement for 3 to 4 days in London office of client.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Responsibilities

  • Advanced proficiency in PySpark and Spark SQL
  • Complex DataFrame transformations
  • Window functions and advanced aggregations
  • Distributed joins and performance tuning
  • Error handling and logging patterns
  • Strong expertise in Delta Lake
  • ACID transactions
  • Schema enforcement and evolution
  • Time travel and versioning
  • MERGE and incremental data processing strategies
  • Hands-on experience with Azure Databricks
  • Notebook structuring and modular code design
  • Databricks Workflows (job orchestration and task chaining)
  • Cluster configuration and optimization
  • Integration with Azure storage (ADLS Gen2)
  • Solid understanding of data modeling and Lakehouse architecture
  • Medallion architecture implementation
  • Partitioning and optimization strategies
  • Strong SQL proficiency
  • Familiarity with CI/CD practices in Databricks environments
  • Demonstrate thought leadership and engage with business users such as (Product owners for example) in determining a solution
  • Critical thinking and solid communication skills

Qualifications we seek in you!

Minimum Qualifications

  • Bachelor's Degree required. Preferably in Computer Science, Information Systems, or related field.

Preferred Qualifications/ Skills

  • Experience supporting legacy workload modernization (e.g., ETL migration from tools such as Alteryx) is beneficial but not primary)

Why join Genpact?

  • Lead AI-first transformation – Build and scale AI solutions that redefine industries
  • Make an impact – Drive change for global enterprises and solve business challenges that matter
  • Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
  • Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
  • Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build
  • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

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Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.

Let’s build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

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Skills

PySpark
Spark SQL
DataFrame Transformations
Window Functions
Distributed Joins
Performance Tuning
Error Handling
Delta Lake
Schema Enforcement
Time Travel
MERGE
Azure Databricks
SQL
CI/CD Practices
Data Modeling
Lakehouse Architecture

Location

London, England, United Kingdom

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