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Data Engineer - Remote

Posted Yesterday
Software Development
Full Time
United Kingdom

Overview

Ripjar specialises in the development of software and data products that help governments and organisations combat serious financial crime. Our technology is used to identify criminal activity such as money laundering and terrorist financing, enabling organisations to enforce sanctions at scale to help combat rogue entities and state actors.

In Short

  • Engineer distributed ingestion services that reliably pull data from diverse sources.
  • Build high-throughput processing components with a focus on performance and scalability.
  • Design and evolve data contracts for downstream teams.
  • Own production quality through maintainable code and strong testing practices.
  • Improve platform reliability against failures and infrastructure issues.
  • Contribute to CI/CD and developer experience improvements.
  • Participate in design reviews and iterative delivery.

Requirements

  • 2+ years of industry experience in building and operating production software.
  • Experience with distributed systems and operational reliability.
  • Proficiency in Python and Node.js.
  • Familiarity with data platforms like HDFS, HBase, and Spark.
  • Experience with orchestration tools such as Airflow and Dagster.
  • Knowledge of deployment/configuration tools like Ansible and Terraform.

Benefits

  • Opportunity to work on impactful data projects.
  • Collaborative team environment.
  • Focus on personal and professional development.
Ripjar logo

Ripjar

Ripjar specializes in developing software and data products aimed at helping governments and organizations combat serious financial crime. Their technology is designed to identify criminal activities such as money laundering and terrorist financing, enabling organizations to enforce sanctions effectively against rogue entities and state actors. The company fosters a culture of continuous innovation, focusing on delivering high-quality software through strong technical skills and effective process implementation.

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