Staff Analytics Engineer

Jobtailor
Greater London, UK
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Sql Data Warehouse Artificial Intelligence Data Analysis Information Engineering Data Warehousing Machine Learning Data Streaming Real Time Systems Snowflake Apache Flink Machine Learning Operations Data Pipelines
+1 more
Databricks

Job description

  • Create and own key data models in data warehouse
  • Pioneer new tools and technologies for advanced analytical features
  • Integrate fresh data sources for machine learning pipelines
  • Collaborate with business and engineering teams for scalable architecture
  • Manage ELT pipelines for reporting systems
  • Guide product and engineering teams for analytics and ML requirements

Requirements

  • 5+ years of experience in analytics or data engineering
  • Strong technical background with a love for complex projects
  • Deep expertise in data modelling and transformation
  • Hands-on experience using tools like dbt
  • Cloud data warehouse experience using platforms like Snowflake or Databricks
  • Track record of building ML features for real-time applications
  • Strong tool-evaluation skills for AI and ML readiness
  • Broad programming knowledge
  • Exposure to real-time streaming frameworks like Apache Flink (insurance domain knowledge is a plus)

Core Competencies

Demonstrates expertise in data modeling, transformation, and integration for machine learning pipelines, with a strong focus on building scalable architectures and advanced analytical features. Proficient in managing ELT pipelines and collaborating with cross-functional teams to drive analytics and machine learning initiatives.

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Good distractions

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