# Staff Data Engineer at Oviva

> 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: - Architect and implement end-to-end data

- **Company:** Oviva (https://jobs.trythestack.co/companies/oviva)
- **Location:** United Kingdom, GB
- **Work arrangement:** Remote
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, Python, BigQuery, Snowflake, Redshift, dbt, Airflow, Prefect, Dagster, Data modeling, CI/CD, Data quality frameworks
- **Posted by employer:** 2026-10-31
- **Added to The Stack:** 2026-11-01
- **Listed until:** 2026-12-30
- **Status:** Active
- **Apply:** https://jobs.ashbyhq.com/oviva/427a2a9a-2ebb-4a9e-a8f4-35b64d9ac761/application?utm_source=linkedinjobwrapping (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/staff-data-engineer-oviva

## About the role

Responsibilities:
- Architect and implement end-to-end data pipelines from ingestion to production data products.
- Design transformation layers and data models using dbt or equivalent and enforce testing standards.
- Build and operate orchestration (Airflow/Prefect/Dagster) for batch/stream pipelines and monitor reliability.
- Define and drive CI/CD, data quality frameworks and best practices for testing and deployment.
- Collaborate with analytics, data science and product teams to translate business requirements into robust solutions.
- Mentor engineers, run code reviews, document designs and support cross-functional initiatives.

Requirements:
- Extensive professional data engineering experience with strong SQL and Python skills.
- Hands-on experience with cloud data warehouses (BigQuery, Snowflake or Redshift) and transformation tools (dbt).
- Practical experience with orchestration tools (Airflow, Prefect, Dagster) and building reliable pipelines.
- Familiarity with CI/CD, data quality frameworks, monitoring and performance optimisation.
- Strong communication skills and a growth mindset; experience with streaming or IaC is a plus.

## Responsibilities

Design, build and maintain scalable end-to-end data pipelines and transformation layers from ingestion to data products. Define and drive technical quality standards (testing, data modeling, CI/CD, data quality) and monitor/optimize pipeline reliability and performance. Lead cross-functional initiatives, document designs, and support team growth through reviews and knowledge sharing.

## Requirements

Extensive professional data engineering experience with strong SQL and Python skills, and hands-on experience with cloud data warehouses (BigQuery, Snowflake, or Redshift) and transformation tools like dbt. Practical experience building/operating batch or streaming pipelines using orchestration tools (Airflow, Prefect, or Dagster), plus strong communication skills and a growth mindset; streaming architectures and IaC are preferred.

## FAQ

- **Is this Staff Data Engineer role still open?** It was posted on 2026-10-31 and is listed as active on The Stack. Confirm on Oviva's application page before applying.
- **Does Oviva offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Oviva's site.
- **Where is this role located?** The listing gives the location as United Kingdom, GB. It is marked remote.
- **What skills does this role ask for?** The listing names: SQL, Python, BigQuery, Snowflake, Redshift, dbt, Airflow, Prefect, Dagster, Data modeling, CI/CD, Data quality frameworks.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://jobs.ashbyhq.com/oviva/427a2a9a-2ebb-4a9e-a8f4-35b64d9ac761/application?utm_source=linkedinjobwrapping). 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 "staff-data-engineer-oviva": 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: "Staff Data Engineer at Oviva, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/staff-data-engineer-oviva)".
- Structured data for many jobs at once: https://jobs.trythestack.co/developers/api.md