Analytics Engineer at TradingView
May no longer be active — verify on the employer site
At a glance
- Company
- TradingView
- Location
- Cyprus
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
✨ The Stack take on this TradingView job
- 🏢 TradingView has 10 jobs here, 9 with visa sponsorship see all
- 🛂 Visa: Foreign Interest Company work permit. Minimum salary: €2,500 a month guide
- 💡 No salary shown. Ask TradingView if it is above the minimum.
Updated 2026-11-03, from our data and official sources.
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About the role
Responsibilities:
- Own and maintain the dbt project end-to-end: transformations across Bronze/Silver/Gold, reusable macros and project conventions.
- Consolidate legacy pipelines into standardized, testable dbt flows and enforce transformation standards across teams.
- Design and implement canonical data model and semantic (Gold) layer that powers analytics and frontend consumers.
- Implement data quality: dbt tests, Great Expectations or Soda checks across Silver and Gold to prevent regressions.
- Define golden-record determination and conflict-resolution strategies for master/reference data.
- Deliver transformed data to consumers and integrate Gold layer with internal systems and frontend pipelines.
Requirements:
- 4–6 years as an Analytics/Data Engineer with expert-level dbt experience (models, macros, tests, project structure).
- SQL mastery: modeling, query optimization and understanding of engine-level performance factors (partitions, indexes, layout).
- Hands-on experience with data quality tooling (dbt tests, Great Expectations, Soda) and implementing validation strategies.
- Experience designing canonical/semantic layers, dimensional modeling and master/reference data management.
- Comfortable translating logic from Go/Python into efficient SQL and working with multiple data sources (RDBMS, S3).
- Bonus: experience owning data platform components or exposure to market data/fintech.
Responsibilities
You will own the dbt project end-to-end, including the transformation core, semantic layer, and canonical data model. Additionally, you will implement data quality checks and define transformation standards to enable self-service for internal teams.
Requirements
The ideal candidate has 4 to 6 years of experience as an Analytics or Data Engineer with expert-level dbt and SQL skills. You must have deep experience in dimensional modeling, data quality tooling, and master data management strategies.
Key skills
- Dbt — in 100 other listings on The Stack
- SQL — in 527 other listings on The Stack
- Data modeling — in 182 other listings on The Stack
- Dimensional modeling — in 8 other listings on The Stack
- Data quality — in 46 other listings on The Stack
- Great expectations — in 1 other listing on The Stack
- Soda — in 1 other listing on The Stack
- Master data management — in 2 other listings on The Stack
- Reference data management
- Semantic layer design
- Canonical data modeling
- Query optimization
- RDBMS
- S3
- Data transformation
On The Stack (as of 2026-11-03)
Frequently asked questions about TradingView
Is this Analytics Engineer role still open?
It was posted on 2026-08-11. Listings more than 30 days old may no longer be active, so check TradingView's site before applying.
Does TradingView offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on TradingView's site.
Where is this role located?
The listing gives the location as Cyprus. It is marked on-site.
What skills does this role ask for?
The listing names: Dbt, SQL, Data modeling, Dimensional modeling, Data quality, Great expectations, Soda, Master data management, Reference data management, Semantic layer design, Canonical data modeling, Query optimization, RDBMS, S3, Data transformation.