Jobs and Careers

Data Engineer

UKRemotefull_timeVerifiedPosted 8 Jan 2026

💰 $155,000/yr($135,000/yr – $155,000/yr)

About the role

Seed Health is a microbiome science company pioneering clinically validated innovations for gut and whole-body health. Rooted in rigorous research and peer-reviewed studies, Seed is setting new standards for efficacy, safety, and trust in the biotics category. Our flagship innovation, DS-01® Daily Synbiotic, is a pre- and probiotic studied in multiple human clinical trials and trusted by over one million people for its systemic benefits, including gut, skin, immune, and heart health. Our pipeline of gut-directed innovations, developed in collaboration with world-renowned researchers and clinicians, harnesses the microbiome as a driver of longevity, systemic health, and daily well-being. Grounded in the ethos that human and planetary health are interconnected, our environmental research division, SeedLabs, advances microbial interventions to enhance biodiversity and help restore ecosystems impacted by human activity.

seed.com

You

As our Data Engineer, you will be the architect and steward of Seed's data infrastructure. You have a deep passion for building reliable, scalable data systems that empower teams to make data-driven decisions. You will own our data pipelines, warehouse infrastructure, and custom integrations—ensuring data quality, accessibility, and performance across the organization.

This role requires both strategic vision and hands-on execution. You're as comfortable architecting data warehouse schemas as you are debugging a failed Fivetran sync at 9am. You bring both systems-level thinking and meticulous attention to data quality in everything you build.

4+ years of professional data engineering experience
Expert-level knowledge of modern data stack (Snowflake, dbt, Fivetran, Airflow)
Experience building custom ETL/ELT pipelines and API integrations
Proven ability to design data warehouse architectures and optimize query performance
Deep knowledge of SQL, Python, and data modeling best practices
Strong collaboration and communication skills across technical and non-technical teams

What You'll Do

Own the Data Infrastructure

Build and maintain production-ready data pipelines that power business intelligence, experimentation, and scientific discovery
Manage and optimize our Snowflake data warehouse—monitoring performance, costs, and query efficiency
Make technical architectural decisions about data modeling, warehouse design, and pipeline orchestration
Drive reliability and observability across the data stack through monitoring, alerting, and documentation
Partner with Analytics and Reporting team to ensure the infrastructure serves both technical and business needs

Champion Data Quality & Reliability

Act as the engineering checkpoint for data integrity, ensuring accuracy, completeness, and timeliness
Implement robust data quality testing, validation, and monitoring frameworks
Design and maintain data governance policies, access controls, and security standards
Troubleshoot and resolve data pipeline failures with urgency and precision

Lead Custom Integration Development

Build custom ETL/ELT solutions for data sources not supported by out-of-the-box connectors
Design API integrations with third-party platforms (Amazon Seller Central, advertising platforms, etc.)
Develop scalable, maintainable code with comprehensive error handling and logging
Deploy and orchestrate jobs using Heroku, Airflow, or similar scheduling tools
Monitor production systems and respond to failures proactively

Bridge Data & Business

Translate stakeholder data requirements into technical solutions
Collaborate with Analytics, Product, and Marketing teams on feasibility and technical guidance
Participate in data architecture discussions with Engineering leadership