Quantexa

Senior Software Engineer

Quantexa
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16 hours ago
London, United KingdomSenior

Responsibilities

  • Design, build, and deliver high-quality software solutions to complex problems.
  • Develop and maintain Scala-based backend microservices and distributed systems.
  • Work across the full engineering lifecycle, including design, implementation, testing, and deployment.
  • Build or support production data-processing pipelines, including batch, ETL, and analytics pipelines.
  • Improve data quality and integrity through data cleansing, parsing, and standardization.
  • Ensure solutions work effectively within the wider system and product architecture.

Requirements

  • Commercial experience with Scala and functional programming, or relevant commercial experience such as Java combined with non-commercial Scala experience.
  • Experience across the full engineering lifecycle from design and implementation through testing and deployment.
  • Experience with DevOps tooling, automation, and related approaches.
  • Ability to design well-engineered solutions and take a broad system-level approach to problem solving.
  • Experience with Spark, Hadoop, or Elasticsearch is beneficial but not essential.
  • Experience building production data-processing, ETL, or analytics pipelines is beneficial.
  • Experience improving data quality and integrity through data manipulation is beneficial.

Benefits

  • Autonomy and support to shape an individual career path.
  • Inclusive and diverse work environment with colleagues representing 47 nationalities and more than 20 languages.
  • Equal opportunity employer with reasonable adjustments and accommodations available throughout the recruitment process.
  • International office presence including London, New York, Boston, Toronto, Sydney, Singapore, and Brussels.

Tech Stack

Apache HadoopApache SparkElasticsearchJavaScala

Categories

Quantexa

About Quantexa

501-1,000 employees

Quantexa builds a Decision Intelligence Platform that connects siloed data, performs entity resolution, and applies network analytics to detect risk and surface insights. Banks, insurers, governments, and telecoms use it for financial crime, fraud, and compliance, as well as customer intelligence, provided through enterprise software and services. Founded in 2016 and headquartered in London, it is privately held with offices across Europe, North America, Asia, and Australia.

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