At a Glance
- Tasks: Lead a team to develop innovative Big Data solutions and scalable data pipelines.
- Company: Join Genpact, a leader in AI and digital innovation.
- Benefits: Gain hands-on experience, mentorship, and world-class learning opportunities.
- Other info: Thrive in a dynamic, values-driven culture with 140,000+ innovative thinkers.
- Why this job: Make a real impact by solving complex business challenges with cutting-edge technology.
- Qualifications: Bachelor's or Master's in relevant fields; certifications in data management preferred.
The predicted salary is between 72000 - 88000 £ per year.
Ready 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.
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.
Responsibilities:
- Lead a team of data engineers in developing and implementing Big Data solutions;
- Design and build scalable and reliable data pipelines and ETL processes;
- Ensure data quality, integrity, and security across all data systems;
- Collaborate with stakeholders to understand and address business requirements;
- Provide technical guidance and mentorship to junior team members;
- Stay current with industry trends and technologies related to Big Data and data engineering;
- Perform data analysis and troubleshooting to optimize system performance and efficiency;
- Develop and maintain documentation for data processes, systems, and infrastructure.
Qualifications:
- Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
- Certifications - Certified Data Management Professional - Riversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks Academy, Microsoft Certified: Azure Data Engineer Associate - Microsoft, Oracle Database 12c Certified Implementation Specialist - Oracle
Required 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
- Storytelling
Why join Genpact?
- Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
- Make an impact – Help global enterprises solve business challenges that matter
- Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
- Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
- 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
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.
Lead Data Engineer - Data Engineering 4C employer: Genpact (UK) Limited
Genpact (UK) Limited is an excellent employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals looking to make a real-world impact in the field of AI risk advisory. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and mentorship from experienced leaders, all while enjoying the flexibility of a hybrid work environment. Join us in a vibrant team where your contributions are valued and rewarded, and where you can thrive in a supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - Data Engineering 4C
✨Get Involved in Data Science Meetups
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Genpact (UK) Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer - Data Engineering 4C at Genpact (UK) Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Engineer - Data Engineering 4C
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Genpact (UK) Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Genpact (UK) Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Genpact (UK) Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Genpact (UK) Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
