Data Engineer at Tabby

✨ The Stack take on this Tabby job

• 🏢 Tabby has 10 jobs here, 9 with visa sponsorship see all

Updated 2026-11-03, from our data and official sources.

Apply with your AI assistant

With The Stack connected to Claude, ChatGPT or Cursor, paste this. Your assistant tailors your CV and cover letter, checks the visa facts and gives you the apply link.

Help me apply to this job on The Stack: https://jobs.trythestack.co/jobs/data-engineer-tabby

Not connected yet? Connect in a minute. 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.

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.

Key skills

• Data engineering — in 118 other listings on The Stack
• DWH development — in 1 other listing on The Stack
• Python — in 1173 other listings on The Stack
• SQL — in 527 other listings on The Stack
• Airflow — in 95 other listings on The Stack
• Dbt — in 100 other listings on The Stack
• BigQuery — in 58 other listings on The Stack
• Clickhouse — in 48 other listings on The Stack
• PostgreSQL
• Docker
• GitLab
• GCP
• Data modeling
• System design
• ETL pipelines
• Data governance

On The Stack (as of 2026-11-03)

• Tabby has 9 other listings on The Stack, 8 of them marked as offering visa sponsorship.
• 42 visa-sponsored data engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Tabby

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.