Hybrid Data Engineer

Posted last month

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About the role

  • Build end-to-end data pipelines and configure Quantexa’s decisioning platform to detect key insights
  • Write defensive, fault-tolerant and efficient production-level code for data processing systems
  • Configure and deploy Quantexa software using tools such as Spark, Hadoop, Scala and Elasticsearch on private and public clouds (Google Cloud, Azure, AWS)
  • Manage, transform and cleanse high-volume data to help clients solve problems in fraud, financial crime, data management, risk and customer intelligence
  • Act as a trusted source of technical knowledge for clients and articulate technical concepts to non-technical audiences
  • Collaborate with solution architects and R&D engineers to champion solutions, standards and best practices for complex big data challenges
  • Work from the Liverpool office (near Liverpool Science Park) and attend client sites as required

Requirements

  • At least 18 months of industry experience in a data engineering role or equivalent
  • Hands-on technical development background, preferably with some software industry experience
  • Proficiency in Scala, Java, Python or similar programming languages (primary language is Scala)
  • Experience building and deploying production-level data processing batch systems
  • Experience with Spark and Hadoop
  • Experience with Elasticsearch
  • Familiarity with cloud platforms (Google Cloud, Microsoft Azure, Amazon/AWS)
  • Experience with modern development tooling (Git, Gradle, Nexus)
  • Experience with DevOps and automation tooling (Jenkins, Docker, Bash scripting)
  • Knowledge of testing libraries (e.g., ScalaTest) and understanding of unit vs integration tests
  • Strong technical communication ability and experience working in rapidly changing client environments

Benefits

  • Competitive salary
  • Company bonus
  • 25 days annual leave (option to buy up to 5 days, roll over up to 10) plus national holidays and your birthday off
  • Pension scheme with a company contribution of 6% (when you contribute 3%)
  • Private Healthcare with AXA, including dental & optic cover
  • Life Insurance and Income Protection
  • Regularly bench-marked salary rates
  • Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
  • Well-being days
  • Volunteer Day off
  • Work from Home Equipment
  • Commuter, Tech and cycle to work schemes
  • Octopus EV Salary Sacrifice scheme
  • Free Calm App Subscription
  • Continuous Training and Development, including access to Udemy Business
  • Spend up to 2 months working outside of your country of employment over a rolling 12-month period with ‘Work from Anywhere’ policy
  • Employee Referral Program
  • Team Social Budget and Company-wide Socials

Job title

Data Engineer

Job type

Experience level

Junior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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