Q

Quantexa

AI-driven decision intelligence for risk

Lead Data Engineer

Data EngineeringPosted on Nov 9
Full-timeMunich, GermanyNo salary listed

About the Job

Requirements

  • Have at least five years of industry experience in a data engineering role or equivalent engineering role, including at least two years acting in a lead role within a data or software engineering team.
  • Be proficient in Scala, Java, Python, or another programming language associated with data engineering.
  • Have expertise building and deploying production-level data-processing batch systems maintained by application support teams, and understand how to develop operationally stable systems across development, release, and operations.
  • Have experience with modern development tools such as Git, Gradle, and Nexus, and automation and DevOps technologies such as Jenkins, Docker, and Bash scripting; be familiar with version-controlled development processes using these tools.
  • Have strong technical communication ability and demonstrable experience working in rapidly changing client environments.
  • Know testing libraries for common programming languages, such as ScalaTest or equivalent, understand unit and integration testing, and be able to cite specific examples of tests personally written.
  • Be eligible to obtain government security clearance.

Responsibilities

  • Lead, support, and mentor a team of junior data engineers within an agile framework.
  • Write defensive, fault-tolerant, efficient code for production-level data-processing systems.
  • Configure and deploy Quantexa software using tools such as Spark, Hadoop, Scala, and Elasticsearch, with the platform hosted on private and public virtual clouds such as Google Cloud, Microsoft Azure, and Amazon.
  • Explain technical concepts to clients in non-technical terms to help them make major decisions.
  • Collaborate with solution architects and research and development engineers to champion solutions and standards for complex big-data challenges.
  • Promote knowledge sharing and ensure best practices are followed.
  • Manage, transform, and cleanse high-volume data to help clients solve business problems in areas including fraud, financial crime, data management, risk, and customer intelligence.
  • Engage with business teams and clients to break down requirements into technical tasks, work hands-on as a programmer, and support other engineers in a collaborative environment.

Desired Qualifications

  • Experience growing and upskilling team members as a career mentor, technical line manager, or in an equivalent guidance role.
  • A passion for expanding the business and leading initiatives to do so.

About the Company

Quantexa

AI-driven decision intelligence for risk

Quantexa provides decision intelligence solutions that use AI to help organizations make informed decisions by unifying data across sources. The platform targets financial institutions, government agencies, and large enterprises worldwide. It ingests and links large data sets to reveal hidden risks, detect fraud, and support regulatory compliance. The goal is to automate decision-making, improve operational efficiency, and drive revenue growth by turning data into actionable insights.

Company size
501-1,000
Company stage
Series F
Total funding
$545M
Headquarters
London, United Kingdom
Founded
2016

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