Data Engineer, PySpark

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
6-6 Annually
Senior level
Fintech • Payments • Financial Services
The Role
The Data Engineer will develop data solutions, maintain a scalable architecture, and collaborate with teams to enhance data usage and insights.
Summary Generated by Built In

Join us as a Data Engineer, PySpark

  • This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences
  • You’ll be simplifying the bank by developing innovative data driven solutions, using insight to be commercially successful, and keeping our customers’ and the bank’s data safe and secure
  • Participating actively in the data engineering community, you’ll deliver opportunities to support the bank’s strategic direction while building your network across the bank
  • We're offering this role at associate level
What you'll do

As a Data Engineer, you’ll play a key role in driving value for our customers by building data solutions. You’ll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms.

You’ll also be:

  • Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
  • Practicing DevOps adoption in the delivery of data engineering, proactively performing root cause analysis and resolving issues
  • Collaborating closely with core technology and architecture teams in the bank to build data knowledge and data solutions
  • Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions
  • Sourcing new data using the most appropriate tooling and integrating it into the overall solution to deliver for our customers
The skills you'll need

To be successful in this role, you’ll need a good understanding of data usage and dependencies with wider teams and the end customer, as well as experience of extracting value and features from large scale data. You'll need at least six years of experience with Data Engineering, PySpark, Python and SQL.

You’ll also demonstrate:

  • Experience of ETL technical design, including data quality testing, cleansing and monitoring, and data warehousing and data modelling capabilities
  • Experience of using programming languages alongside knowledge of data and software engineering fundamentals
  • Good knowledge of modern code development practices
  • Strong communication skills with the ability to proactively engage with a wide range of stakeholders

Hours

45

Job Posting Closing Date:

08/04/2026

Top Skills

Pyspark
Python
SQL
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The Company
HQ: Bengaluru, Karnataka
40,000 Employees
Year Founded: 1970

What We Do

We’re a business that understands when our customers and people succeed, our communities succeed, and our economy thrives. As part of our purpose, we’re looking at how we can drive change for our communities in enterprise, learning and climate. As one of the leading supporters of UK business, we’re prioritising enterprise as a force of change. We’re focusing on the people and communities who have traditionally faced the highest barriers to entry and figuring out ways to remove these. Learning is also key to our continued growth as a company in an ever changing and increasingly digital world. By setting a dynamic and leading learning culture, our people prosper, and our customers are given the tools to continue to improve their financial capability and confidence. One of the biggest challenges we all face in our future is climate change. That’s why we’ve put it right at the core of our purpose. We want to champion climate solutions with financing and entrepreneurial support, fully embed climate into our culture and decision making, and be climate positive by 2025. We’re committed to using our purpose to break down barriers, drive change and ultimately create a great place to work.

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