Staff Analytics Engineer: Real-Time ML & Scalable Data

Jobtailor; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Jobtailor in the United Kingdom seeks an experienced analytics or data engineering professional to own data models in a data warehouse and drive ML-ready analytics.

You will pioneer new tools, integrate data sources for ML pipelines, and collaborate with business and engineering teams to build scalable architecture.

This role emphasizes ELT pipelines, real-time features, and strong data transformation expertise.

Qualifications

• 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).

Responsibilities

• 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

Skills

Data modelling

Transformation

ELT pipelines

Cross-functional collaboration

Analytics

ML features

Tools

dbt

Snowflake

Databricks

Apache Flink

Job description

Jobtailor in the United Kingdom seeks an experienced analytics or data engineering professional to own data models in a data warehouse and drive ML-ready analytics.

You will pioneer new tools, integrate data sources for ML pipelines, and collaborate with business and engineering teams to build scalable architecture.

This role emphasizes ELT pipelines, real-time features, and strong data transformation expertise.