FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and optimizing domain layers, with a strong focus on analytics engineering standards and quality assurance. Proficient in SQL and dbt, with hands-on experience in semantic layer tools and commercial data management.
Highest-signal resume keywords
DBT ExperienceSQL ProficiencySemantic Layer ExpertiseCommercial Data ManagementStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
DBTSQLData WarehousingData ModelingQuality AssuranceData IntegrationTime-Series ModelingFinancial Data AnalysisCustom MacrosReusable Patterns
Soft Skills
Attention to DetailStakeholder ManagementProblem SolvingCollaborationAdaptability
Tools & Technologies
ClickHouseOmniLookerBI ToolsData Visualization Tools
Industry Keywords
Commercial DataSales FunnelsCRM PipelinesFinancial TradingRisk ManagementHedgingForecastingOperational DecisionsInternational ExpansionEnergy Sector
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Set and raise the bar on analytics engineering standards. Define the patterns, testing, and review practices that keep dbt models across the business consistent, documented, and trustworthy without you personally checking every one.
- Own the context layer. Bring the semantic layer (Omni) and the underlying domain models together into one place the business, human or AI, can query with confidence.
- Build the domain model from first principles. Take tem's data from raw source to a structured, trusted layer that powers commercial, financial, risk, and operational decisions, not just dashboards.
- Expand analytics engineering's reach across the business. Integrate new data sources, product and platform events, and the tools other departments run on, taking analytics engineering from a centralised function into new corners of the company.
- Help tem think bigger. As the business looks at big bets like international expansion and new ways of bringing its technology to other companies, help build a domain layer that's ready to go with it.
- Partner across the business, not just the data team. Work directly with engineers, product managers, and salespeople to understand what they're actually trying to achieve, then turn that into models that hold up under real use.
Requirements
What you’ll need- You've built or reworked a domain layer before, hit the failure states, and learned what good looks like the hard way.
- Deep, production dbt experience: custom macros, reusable patterns, and real work optimising models that are genuinely expensive to run.
- Excellent SQL and comfort working on a modern data warehouse at real scale (tem runs ClickHouse).
- Hands-on experience with a semantic layer or BI modelling tool (Omni, Looker, or similar), with genuine influence over how metrics get defined, not just how they get built.
- A genuine eye for detail and real QA discipline: you check your own work and care about getting a definition right without needing someone else to catch it, while still keeping pace with a fast-moving business.
- Experience with commercial data, like sales funnels or CRM pipelines, or with portfolio and financial trading data, including risk, hedging, forecasting, or time-series modelling.
- A track record of introducing quality standards or tooling that measurably raised a team's output, not just your own.
- Strong first-principles stakeholder management: you'd rather ask the awkward scoping question upfront than build the wrong thing twice.
- Experience in energy, or another sector with real physical or financial complexity underneath the data.
Benefits
Comp & perks- Offers Equity 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score