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 implementdata, 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 Data Engineer – Glasgow, Scotland - Fulltime
About Us:
We provide:
- A robust career development path offering numerous opportunities for growth, learning and advancement.
- A supportive, learning-oriented environment in collaboration with development within fast-feedback agile delivery squads
- Collaborative work within cross-functional squads, following agile practices and utilizing both cloud and on-premises technology to deliver innovative solutions.
- Encouragement for every developer to contribute their unique perspective - your ideas will be valued, and you’ll receive full support in their implementation!
- Participation in an international environment with various multidisciplinary squads, working alongside customers, product experts, and SREs.
- A dynamic environment where cutting-edge technology propels us.
- State-of-the-art offices located in the City Centre designed to enhance collaboration.
- Flexible work arrangements (core hours and opportunities to work from home).
Role Responsibilities
You will be responsible for:
- Collaborating with cross-functional teams to understand data requirements, and design efficient, scalable, and reliable ETL processes using Python and DataBricks
- Developing and deploying ETL jobs that extract data from various sources, transforming it to meet business needs.
- Taking ownership of the end-to-end engineering lifecycle, including data extraction, cleansing, transformation, and loading, ensuring accuracy and consistency.
- Creating and manage data pipelines, ensuring proper error handling, monitoring and performance optimizations
- Working in an agile environment, participating in sprint planning, daily stand-ups, and retrospectives.
- Conducting code reviews, provide constructive feedback, and enforce coding standards to maintain a high quality.
- Developing and maintain tooling and automation scripts to streamline repetitive tasks.
- Implementing unit, integration, and other testing methodologies to ensure the reliability of the ETL processes
- Utilizing REST APIs and other integration techniques to connect various data sources
- Maintaining documentation, including data flow diagrams, technical specifications, and processes.
You have:
- Proficiency in Python programming, including experience in writing efficient and maintainable code.
- Hands-on experience with cloud services, especially DataBricks, for building and managing scalable data pipelines
- Proficiency in working with Snowflake or similar cloud-based data warehousing solutions
- Solid understanding of ETL principles, data modelling, data warehousing concepts, and data integration best practices
- Familiarity with agile methodologies and the ability to work collaboratively in a fast-paced, dynamic environment.
- Experience with code versioning tools (e.g., Git)
- Meticulous attention to detail and a passion for problem solving
- Knowledge of Linux operating systems
- Familiarity with REST APIs and integration techniques
You might also have:
- Familiarity with data visualization tools and libraries (e.g., Power BI)
- Background in database administration or performance tuning
- Familiarity with data orchestration tools, such as Apache Airflow
- Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing
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
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.
