RRemoteville

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Senior Data Engineer

Skills
Analytical SkillsData AnalyticsData ScienceDatabasesEmerging TechnologiesFairness OpinionsModeling
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Strong experience in Data Engineering and deploying data-driven solutions in production
  • Proficiency in Python and common data libraries for analysis modelling and data processing
  • Hands-on experience with machine learning techniques statistical modelling and data analysis
  • Solid knowledge of SQL and relational databases
  • Good understanding of data pipelines data preprocessing and feature engineering
  • Curiosity and openness to AI-assisted development environments and agentic coding tools
  • Strong problem-solving skills and ability to work effectively in cross-functional teams
  • Effective communication skills in writing and verbally

Nice to have

  • Curious
  • Passionate
  • Driven
  • Enthusiastic
  • Self-motivated
  • Proactive
  • Detail-oriented
  • Analytical

Day to day

  • Build innovative data products for client teams in a fast-paced engineering environment.
  • Design scalable resilient and fault-tolerant data architectures that deliver lasting value.
  • Collaborate closely with cross-functional teams to solve business problems and improve technical outcomes.

Hiring process

  • 1st Interview with a Talent Partner (30-45 minutes)
  • Technical Interview with our Senior Developers (90 minutes)
  • Call with Hiring Manager (60 minutes)