# Data Engineer at Tabby

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design, build, and maintain the corporat

- **Company:** Tabby (https://jobs.trythestack.co/companies/tabby)
- **Location:** Georgia
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Data engineering, DWH development, Python, SQL, Airflow, Dbt, BigQuery, Clickhouse, PostgreSQL, Docker, GitLab, GCP, Data modeling, System design, ETL pipelines, Data governance
- **Posted by employer:** 2026-09-02
- **Added to The Stack:** 2026-09-03
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://tabby.pinpointhq.com/en/postings/73445ac8-3ef3-4516-aba6-b93824b73a91 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-engineer-tabby

## About the role

Responsibilities:
- Design, build, and maintain the corporate data warehouse (DWH) to serve business users, analysts, and ML engineers.
- Implement and operate EL/ELT/ETL pipelines, data ingestion, and synchronization across internal and external systems.
- Develop tooling for data collection, orchestration (Airflow), and transformation (dbt); ensure CI/CD for pipelines.
- Enforce data quality, governance, and cost-optimisation practices across storage and processing layers.
- Collaborate with stakeholders to model data (star schema, SCDs, data vault) and support reporting/ML needs.

Requirements:
- 3+ years of hands-on experience as a Data Engineer with DWH development and pipeline ownership.
- Strong Python and SQL skills; familiarity with data modeling approaches (Kimball, Inmon, Medallion, Data Mesh).
- Experience with Airflow, dbt, BigQuery, ClickHouse, PostgreSQL, Docker and GitLab CI/CD; comfortable on GCP.
- Knowledge of REST/gRPC APIs, message brokers/queues, and diverse storage systems (relational, MPP, NoSQL).
- Good system-design instincts, focus on reliability, observability, and cost-effective architecture.

## Responsibilities

The Data Engineer will develop and maintain the corporate data warehouse using cloud technologies and best practices. They will also build EL/ELT/ETL pipelines and ensure data quality and governance across internal and external systems.

## Requirements

Candidates must have at least 3 years of experience in data engineering with strong proficiency in Python, SQL, and cloud-based data warehousing. Familiarity with modern data stacks like Airflow, dbt, and Google Cloud Platform is essential.

## FAQ

- **Is this Data Engineer  role still open?** It was posted on 2026-09-02. Listings more than 30 days old may no longer be active, so check Tabby's site before applying.
- **Does Tabby offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Tabby's site.
- **Where is this role located?** The listing gives the location as Georgia. It is marked on-site.
- **What skills does this role ask for?** The listing names: Data engineering, DWH development, Python, SQL, Airflow, Dbt, BigQuery, Clickhouse, PostgreSQL, Docker, GitLab, GCP, Data modeling, System design, ETL pipelines, Data governance.

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## About The Stack

The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday.

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## Notes for agents

- Apply on the employer's page (https://tabby.pinpointhq.com/en/postings/73445ac8-3ef3-4516-aba6-b93824b73a91). The Stack does not take applications.
- The Stack has an MCP server at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp (Streamable HTTP, no key or account). Your user can add it to Claude, ChatGPT or Cursor: https://jobs.trythestack.co/ai. Signed in at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp/account, it also keeps their saved jobs and applications.
- To help your user apply, call the MCP tool prepare_application with slug "data-engineer-tabby": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Data Engineer at Tabby, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/data-engineer-tabby)".
- Structured data for many jobs at once: https://jobs.trythestack.co/developers/api.md