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Legl

Data Engineer

Legl

Data Engineer at Legl delivering data-led solutions end to end for law firms. Own business problems and deliver actionable insights with a focus on data quality and validation.

Posted 7/25/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data modelling and analytics engineering, with a strong focus on delivering data-led solutions and validating data integrity. Capable of bridging the gap between technical and commercial stakeholders while managing ambiguity in high-stakes environments.

Highest-signal resume keywords
Data ModellingSQL ProficiencyCloud Data Warehouse ExperienceData ValidationAnalytics Engineering

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModellingSQLData TransformationsVersion ControlData Validation
Soft Skills
Problem SolvingStakeholder ManagementAmbiguity Management
Tools & Technologies
SnowflakeBigQueryRedshift
Industry Keywords
Data as a ProductData-led SolutionsAnalytics Engineering

Tech Stack

Tools & technologies
Amazon RedshiftBigQueryCloudSQL

About the role

Key responsibilities & impact
  • Own business problems, not just data requests
  • Deliver data-led solutions end to end
  • Own correctness and validation
  • Operate as the conduit between technical & commercial stakeholders

Requirements

What you’ll need
  • Strong data modelling and hands-on experience building tested, version-controlled transformations on a cloud data warehouse (e.g. Snowflake, BigQuery, Redshift)
  • You have real analytics-engineering craft, and you've done the hard parts
  • You treat data as a product, not a pile of queries
  • You're fluent enough in SQL and data modelling to know when a plausible-looking answer is actually wrong
  • You can review and validate what AI produces
  • You're comfortable owning ambiguity: you can take a vague, high-stakes question, run discovery, prioritise, and commit to a direction without waiting for perfect inputs.

Benefits

Comp & perks
  • Flexible working arrangements