Data Engineer

Provenir
Remote

About The Position

Who We Are Provenir is a global fintech company with offices across North America, the UK, and Singapore backed by talented teams across APAC, EMEA, and LATAM. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders. As a leading provider of decisioning and analytics products for financial services and other industries, we empower businesses to create digital-first decisioning solutions that drive business growth. If you’d like to work at an innovative fintech with a global footprint that is redefining the industry, then we want you! We are Provenir AI, part of the Provenir group. Our job is to build scalable platforms that give our clients better decision-making capabilities than the established players in our space. You'll be building and maintaining the data infrastructure that powers our global platform. This means working on 1datapipe®, customer profiling, innovation projects and owning data pipelines that process millions of transactions daily. We're a small team. You'll work autonomously but with proper support, collaborate across engineering functions, and focus on solving real data problems rather than theoretical ones. If the idea of building genuinely useful data systems appeals to you, this role could be a good fit.

Requirements

  • 5+ years as a Data Engineer
  • Hands-on Apache Spark (PySpark) experience, including performance tuning
  • Experience with AWS services (EMR, Athena, S3, RDS)
  • Proficiency in Python and SQL
  • Experience with data lake/lakehouse technologies (Delta Lake, Apache Iceberg or similar)
  • Experience with data modelling, data warehousing and building ETL pipelines
  • Linux/Unix shell scripting
  • CI/CD and Git in a team environment

Nice To Haves

  • Data quality and observability tools (Great Expectations, Soda)
  • Data or ML pipeline orchestration
  • BI tools and data visualisation

Responsibilities

  • Design, build and run data pipelines for our global platform
  • Own automation and monitoring for data quality and performance
  • Work with internal and external teams to deliver new data capabilities
  • Contribute to product roadmap and POC development
  • Document technical specifications and design decisions

Benefits

  • Comprehensive private health cover and wellness plans
  • Flexible and remote-friendly opportunities
  • Maternity/paternity leave
  • Retirement benefits such as pension contributions to plan for your future
  • Macbook Pro
  • Paid time off and company holidays
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