# Data Engineer at G2i Inc.

> 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 operate data ingestio

- **Company:** G2i Inc. (https://jobs.trythestack.co/companies/g2i-inc)
- **Location:** United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, Data engineering, Dbt, Dagster, Airflow, Data modeling, System design, ClickHouse, DuckDB, ETL/ELT, Data warehousing, Pipeline architecture, Observability, Semantic layers, Ontologies, Backend engineering
- **Posted by employer:** 2026-07-30
- **Added to The Stack:** 2026-07-31
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.ashbyhq.com/g2i/ec4f12d3-81bf-4679-a304-2cfc7bba608b (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-engineer-g2i-inc

## About the role

Responsibilities:
- Design, build, and operate data ingestion, cleaning, transformation, and merging pipelines from heterogeneous sources.
- Architect and implement DAG-based orchestration for reliable, observable workflows (e.g., Dagster/Airflow patterns).
- Define and implement semantic models and an ontology layer to give company data consistent meaning.
- Select and evaluate databases, storage, orchestration tools, and architectural patterns to meet product requirements.
- Optimize large datasets for performance and accessibility by AI agents, analytics systems, and BI workloads.
- Integrate with databases, enterprise SaaS, APIs, and external data sources; ensure data quality and observability.
- Establish engineering standards for testing, deployment, monitoring, and reliability; remain hands-on in code and ops.
- Collaborate closely with product and AI engineers to shape platform requirements and technical direction.

Requirements:
- 5+ years professional experience in data or backend engineering, with experience building or scaling data platforms or warehouses.
- Strong Python proficiency and practical experience with modern ETL/ELT frameworks and data transformation tools (e.g., dbt).
- Experience with DAG-based orchestrators (Dagster, Airflow) and designing production workflows.
- Solid understanding of data modeling, semantic layers, and ontologies; familiarity with knowledge-graph concepts a plus.
- Experience selecting and operating data stores (e.g., ClickHouse, DuckDB, cloud warehouses) and designing for performance.
- Demonstrated system-design skills, observability practices, testing strategies, and production troubleshooting.
- Comfortable making architectural tradeoffs, driving implementation, and working in a fast-moving product environment.
- Visa sponsorship and relocation support available for exceptional international candidates.

## Responsibilities

You will build and scale the foundational data infrastructure, including pipelines and semantic layers, to support AI agents. You will also collaborate with product and AI teams to design observable, reliable data workflows and select appropriate storage and orchestration technologies.

## Requirements

Candidates must have 5+ years of professional experience in data or backend engineering with a proven track record of building data platforms from scratch. Strong proficiency in Python, modern ETL/ELT frameworks, and experience with DAG-based orchestrators are essential.

## FAQ

- **Is this Data Engineer role still open?** It was posted on 2026-07-30. Listings more than 30 days old may no longer be active, so check G2i Inc.'s site before applying.
- **Does G2i Inc. offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on G2i Inc.'s site.
- **Where is this role located?** The listing gives the location as United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, Data engineering, Dbt, Dagster, Airflow, Data modeling, System design, ClickHouse, DuckDB, ETL/ELT, Data warehousing, Pipeline architecture, Observability, Semantic layers, Ontologies, Backend engineering.

## More like this

- [All jobs at G2i Inc.](https://jobs.trythestack.co/companies/g2i-inc.md)
- [Data Engineer Jobs in the United Kingdom with Visa Sponsorship](https://jobs.trythestack.co/visa-sponsorship-jobs/united-kingdom/data-engineer)
- [All visa sponsorship jobs in the United Kingdom](https://jobs.trythestack.co/visa-sponsorship-jobs/united-kingdom)
- [Senior Data Engineer at EY](https://jobs.trythestack.co/jobs/senior-data-engineer-ey.md)
- [Senior Data Engineer - Platform at Ebury](https://jobs.trythestack.co/jobs/senior-data-engineer-platform-ebury.md)
- [Senior Data Engineer at Netcompany](https://jobs.trythestack.co/jobs/senior-data-engineer-netcompany.md)
- [Staff Data Engineer at Oviva](https://jobs.trythestack.co/jobs/staff-data-engineer-oviva.md)
- [Staff Data Engineer at Marks and Spencer](https://jobs.trythestack.co/jobs/staff-data-engineer-marks-and-spencer.md)

## 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.

- Newsletter: https://www.trythestack.co (subscribe: https://www.trythestack.co/subscribe)
- Jobs board: https://jobs.trythestack.co
- Hire or advertise through The Stack: https://jobs.trythestack.co/advertise

## Notes for agents

- Apply on the employer's page (https://jobs.ashbyhq.com/g2i/ec4f12d3-81bf-4679-a304-2cfc7bba608b). 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-g2i-inc": 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 G2i Inc., listed on The Stack Jobs (https://jobs.trythestack.co/jobs/data-engineer-g2i-inc)".
- Structured data for many jobs at once: https://jobs.trythestack.co/developers/api.md