Senior Data Engineer 1 Job Details | PayU Payments We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve the website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Modify Cookie Preferences Reject All Cookies Accept All Cookies Skip to main content Home Page
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About Us Open Jobs Language English (United Kingdom) Candidate Login Select how often (in days) to receive an alert: Create Alert × Select how often (in days) to receive an alert: Apply now » Senior Data Engineer 1
About
the Team Our Data Engineering team is a dynamic and innovative group that forms the backbone of our data-driven organization. We are responsible for building and maintaining robust, scalable data infrastructure that powers critical business decisions across multiple domains.
The team works on cutting-edge technologies and handles massive data volumes, ensuring seamless data flow from various sources to our data warehouse and analytics platforms. We play a crucial role in powering Machine Learning models across various use cases by building sophisticated feature engineering pipelines, deploying ML model infrastructure, and maintaining real-time feature generation systems.
About
the Role As a Senior Data Engineer, you will play a crucial role in designing, implementing, and maintaining our data infrastructure. You'll work with modern data engineering technologies and cloud platforms to build scalable ETL pipelines, optimize data processing workflows, and ensure data quality and reliability across our systems. This role extends significantly into the ML domain, where you'll be responsible for building and maintaining feature engineering pipelines that power various ML models across the organization. You'll work on real-time feature generation systems, deploy and maintain ML model infrastructure, and ensure seamless integration between data pipelines and ML workflows. Your work will directly impact model performance and enable data scientists to focus on model development rather than infrastructure concerns.
Responsibilities: Partner closely with business stakeholders to understand and translate data warehouse
requirements into technical solutions Provide comprehensive support for data warehouse initiatives including
requirements gathering, solution design, and implementation Optimize data warehouse performance through query optimization, indexing strategies, and architectural improvements Design, develop, and maintain robust ETL/ELT pipelines using modern data engineering tools Implement real-time and batch data processing solutions to meet business
requirements Develop and maintain data models and DataMart solutions for analytics and reporting needs Deploy and maintain ML model infrastructure ensuring scalability and reliability
Requirements: 3-6 years of experience in Data Engineering Strong expertise in distributed computing and advanced problem-solving/analytical skills Deep understanding of data warehouse design, optimization, and performance tuning Expertise in Python, SQL and NoSQL databases In-depth experience in Could services, preferably AWS (EMR, S3, Redshift, MSK) Expertise in Data engineering tech stack like Spark (PySpark), Airflow, Debezium, Hadoop Experience in data modelling, DataMart development Understanding of ML model deployment and maintenance workflows with feature store architectures and best practices Good to Have - Experience in setting up and working with On-premises Data Engineering tech stack What we offer? A positive, get-things-done workplace A dynamic, constantly evolving space (change is par for the course – important you are comfortable with this). An inclusive environment that ensures we listen to a diverse range of voices when making decisions. Ability to learn cutting edge concepts and innovation in an agile start-up environment with a global scale. Access to 5000+ training courses accessible anytime/anywhere to support your growth and development (Corporate with top learning partners like Harvard, Coursera, Udacity).
About us: At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high growth markets the financial services and products they need to thrive. Our expertise in 18+ high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs to offering credit to underserved individuals, to helping merchants buy, sell, and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more at www.payu.com Our Commitment to Building A Diverse and Inclusive Workforce As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive, and safe environment, for all our people, communities, and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility, and unbiased attention to every PayUneer so they can succeed, irrespective of gender, color, or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities, or the LGBTQ communities. Apply now » Find similar jobs: . Copyright 2025 PayU. All rights reserved / Privacy / Terms of use × Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. Required Cookies These cookies are required to use this website and can't be turned off. Required Cookies Show More Details Required Cookies Provider Description Enabled SAP as service provider We use the following session cookies, which are all required to enable the website to function: "route" is used for session stickiness "careerSiteCompanyId" is used to send the request to the correct data centre "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor "Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another Cookies from provider SAPasserviceprovider are required and cannot be turned off Confirm My Choices Reject All Cookies Accept All Cookies
Total raised
$2.6M
Last stage
Series A
Investors
Govind Setlur
Co-Founder & former CEO
Veena Mistry
Co-Founder, EVP Strategic Initiatives
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.