Senior Analytics Engineer: Build Trustworthy Data for AI

Nala Inc

Greater London

Hybrid

GBP 80,000 - 110,000

Full time

14 days+
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Benefits offered by this job

Private Medical Insurance
27 Days Off Plus UK Bank Holidays
Birthday Leave
Enhanced Parental Leave
Enhanced Pension
Life Insurance
Global Workspace
Learning Budget
Sarabi snacks and Friday lunch
Monthly Socials
Free Coffee

Job summary

NALA is seeking a Senior Analytics Engineer to own our data domains in dbt and Snowflake, driving trustworthy, well-modelled data for decision making. You will shape dimensional patterns, ensure real-time and batch pipelines are robust, and set engineering standards across the data stack.

You will mentor analysts and collaborate with the team to advance AI-enabled analytics while owning a roadmap and delivering measurable improvements in data reliability and cost efficiency.

Qualifications

  • Three or more years of production dbt experience and strong business impact.
  • Clear stance on modelling methodology and dimensional patterns.
  • Practical view of warehouse design for AI-driven querying.
  • Hands-on use of Cursor, Windsurf, or Claude Code is highly valued.
  • Experience building streaming pipelines (Kafka or similar) and batch processing.
  • Strong SQL and Python fundamentals with Snowflake/Databricks exposure.
  • Engineered standards in dbt: testing, CI/CD, documentation and PR review workflows.
  • You can own a roadmap and deliver with initiative.

Responsibilities

  • Own the modelling and transformation of data domains end to end in dbt and Snowflake.
  • Define and defend modelling methodology with the team and set standards.
  • Make models agent-ready: well described, consistently named and query-safe.
  • Own streaming and near-real-time pipelines alongside batch transformation.
  • Establish coding and testing standards, documented CI-enforced defaults.
  • Optimise warehouse performance and costs through better queries and materialisation.
  • Deploy autonomous agents against the data stack and monitor reliability.
  • Mentor analysts on analytics-engineering practice to raise overall standards.

Skills

dbt
SQL
Python
Data modelling
Streaming data

Tools

Snowflake
Kafka
Databricks
dbt

Job description

NALA is seeking a Senior Analytics Engineer to own our data domains in dbt and Snowflake, driving trustworthy, well-modelled data for decision making. You will shape dimensional patterns, ensure real-time and batch pipelines are robust, and set engineering standards across the data stack.

You will mentor analysts and collaborate with the team to advance AI-enabled analytics while owning a roadmap and delivering measurable improvements in data reliability and cost efficiency.

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