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Backend Engineer - Feature Platform

Wise Germany·$1,300,000 – $1,700,000

Primary stack

JavaPythonSQLApache SparkProblem SolvingKafka

Nice to have's

Apache IcebergTrino

Job description

About the Position

Backend Engineer - Feature Platform

Wise is a global technology company, building the best way to move and manage the world’s money.

Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.

For everyone, everywhere.

More about our mission and what we offer.

Responsibilities

  • Engineering: Tackle complex technical challenges focused on scalability, reliability, and speed, maintaining a high-performance infrastructure that processes millions of events with low latency.
  • Innovation: Collaborate with Data Scientists and Engineers to design and implement cutting-edge feature topologies, including graphs, support vectors, and time-series data to stay ahead of evolving financial threats.
  • Engagement: Drive platform adoption by partnering with teams across Wise to centralize existing risk logic and expand our self-service capabilities, ensuring that all risk signals are robust, governed, and consistent.

Requirements

  • Core Skills:

    • 3+ years of Java 11+ knowledge, fluent in Java 21+
    • Familiarity with Python (or willingness to learn on the job)
    • Experience with batch or stream processing (preferably Apache Spark and Flink/Kafka streams)
    • Familiarity with SQL and No-SQL (document) databases
    • Experience with complex systems distributed across several microservices, Kafka, scattered data and ownership
    • Hands-on knowledge of system integration patterns
    • A strong product mindset and passion for user experience, you prioritize work with the customers in mind and drive data-driven decisions to fix customer pain-points
    • Strong problem-solving skills to help refine problem statements and figure out how to solve them with the available data and from first principles
    • High level of ownership, including identifying impactful problems to solve, getting buy-in from stakeholders and implementing the solution end-to-end
  • Nice to Have:

    • Data Engineering background, such as experience with large-scale data pipelines, feature engineering and serving infrastructure, familiarity with graph algorithms and/or embedding techniques, awareness of data governance practices
    • Experience with Apache Iceberg and/or Trino
    • Experience with graph databases like Amazon Neptune

We Offer

  • Competitive salary: HUF 1,300,000 - HUF 1,700,000 monthly
  • Full-time position

About the Company

Wise is a global technology company, building the best way to move and manage the world’s money.

Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.

For everyone, everywhere.

More about our mission and what we offer.

What We Offer

For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.

Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

© Wise Germany. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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