Junior Data Engineer

Requirements

  • Solid programming ability (Python or similar)
  • Strong experience with Snowflake (or similar warehouses)
  • Good understanding of software engineering patterns and architectures
  • Experience building data-intensive systems
  • Cloud experience (AWS preferred)
  • Infrastructure as code (Terraform ideally)
  • CI/CD best practices
  • Familiarity with modern data architectures (Lambda/Kappa)
  • A self-starter who takes ownership and drives work forward
  • Strong problem solver who focuses on understanding before building
  • Good judgement on build vs buy decisions
  • Comfortable working in ambiguity and shaping direction
  • Clear communicator across technical and non-technical audiences
  • Able to manage multiple streams of work without losing momentum
  • Pragmatic, balancing speed with scalability and reliability
  • Actively looks to improve ways of working, including leveraging AI tooling

Nice to Haves

  • Experience with technologies such as Terragrunt, JavaScript, GCP
  • Familiarity with tools like dbt, Fivetran, Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault
  • Experience with observability tools such as Datadog and Grafana
  • Experience with dashboarding tools like Preset
  • Knowledge of Claude AI tool

What You'll Be Doing

  • Collaborate with senior team members to solve complex data platform challenges
  • Take ownership of specific problem areas in a fast-paced environment
  • Understand business challenges and deliver pragmatic, scalable solutions
  • Work closely with product, analytics, and engineering teams with a high degree of autonomy
  • Proactively gather context, align stakeholders, and ensure successful delivery
  • Shape how teams interact with data, enabling fast, iterative analytics from idea to insight
  • Maintain strong foundations around reliability, cost, and security of data platforms

Perks and Benefits

  • Opportunity to work with a winning team at a leading and fast-growing fintech unicorn
  • Flexible working arrangements tailored to roles, including hybrid and fully remote options
  • Regular social events and opportunities to connect beyond the office
  • Support for physical and mental wellbeing, including private health coverage
  • Retirement savings plans for long-term financial wellbeing
  • Employee referral program with competitive bonuses
  • Fully stocked kitchens and complimentary chef-prepared lunches at select office locations
  • Sustainable commuting schemes including cycle-to-work and electric vehicle salary sacrifice options
AI Summary ✨

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