Lead Data Engineer - Data Engineering 4C

Genpact (UK) Limited; City of Westminster; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Genpact (UK) Limited is seeking a Lead Data Engineer to guide a team of data engineers in building scalable data pipelines and ETL processes. You will ensure data quality, integrity, and security across systems while collaborating with stakeholders to address complex business requirements.

The role involves mentoring junior team members, staying current with industry trends in big data, and documenting data processes and infrastructure. Hybrid work arrangement typical for Genpact UK.

Qualifications

• Bachelor’s degree in analytics, CS, statistics or related field.
• Advanced understanding of big data platforms and data pipelines.
• Experience leading data engineering teams and mentoring juniors.

Responsibilities

• Lead a team of data engineers to build big data solutions.
• Design scalable data pipelines and ETL processes.
• Ensure data quality, security, and governance across systems.
• Collaborate with stakeholders to translate business requirements into data solutions.

Skills

Big Data

Data Engineering

ETL

Agile Methodology

Data Quality

Cloud Computing

Databricks Platform

Snowflake

Data Governance

Team Leadership

Education

Bachelors - Business Analytics

Bachelors - Computer Science

Bachelors - Statistics

Masters - Data Science

Tools

Databricks

Azure Data Engineer

Oracle Database 12c

Job description

Lead Data EngineerReady to turn bold ideas into real-world impact?At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or 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 agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.Job Description -Responsibilities: 1. Lead a team of data engineers in developing and implementing Big Data solutions; 2. Design and build scalable and reliable data pipelines and ETL processes; 3. Ensure data quality, integrity, and security across all data systems; 4. Collaborate with stakeholders to understand and address business requirements; 5. Provide technical guidance and mentorship to junior team members; 6. Stay current with industry trends and technologies related to Big Data and data engineering; 7. Perform data analysis and troubleshooting to optimize system performance and efficiency; 8. Develop and maintain documentation for data processes, systems, and infrastructure.Qualifications -Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data ScienceCertifications -Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracleRequired Skills -Agile Methodology, Banking Capital Markets, Client Relations, Cloud Computing, Collaboration Tools, Commercial Sales, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Data Literacy, Design Thinking, Electronic Hardware, Executive Presence, Inclusion, Manufacturing Equipment, People Leadership, Personal Effectiveness, Risk Management, Semiconductors, Snowflake (Platform), Sourcing and Procurement, StorytellingLanguageEnglishLanguage Proficiency -Advanced - C1Additional Job Location -Job TypeRegularMaster Skill List -Data EngineeringRemote Type -HybridWork Shift -Standard (United Kingdom)Why join Genpact?Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matterMake an impact – Help global enterprises solve business challenges that matterAccelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay aheadWork with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every dayThrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progressCome 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.