Responsibilities
- Implement new ingestion sources end-to-end, including connector code, Airflow DAGs, schemas, monitoring, and catalog registration.
- Investigate and resolve known classes of pipeline failures independently, escalating novel issues with clear technical handovers.
- Assess downstream consumers and data-quality risks before shipping new pipelines.
- Review peer pipeline pull requests and identify issues such as missing idempotency checks and race conditions.
- Trace data lineage from source to warehouse to investigate incorrect data and communicate findings to stakeholders.
- Support data security and governance work, including PII masking, access controls, and reverse ETL integrations.
- Clarify requirements with internal stakeholders and contribute to specification reviews.
- Mentor DE2 engineers on significant projects and help them apply team conventions.
Requirements
- 3–5 years of professional software or data engineering experience.
- Strong SQL and Python skills with experience building and operating production data pipelines.
- Experience with workflow orchestration tools such as Airflow and cloud data warehouses or lakehouses such as Snowflake or Databricks.
- Understanding of idempotency, schema evolution, backfills, data quality, and testing.
- Ability to investigate pipeline issues, provide substantive code review feedback, and own known-class problems end-to-end.
- Strong written and verbal communication skills for technical handovers, specification reviews, data lineage investigations, and stakeholder communication.
- Preferred experience extending reusable pipeline frameworks or templates, using reverse ETL patterns, PII masking, data access governance, or observability tools such as Datadog.
- Some mentoring experience and background in gaming, betting, e-commerce, or regulated industries are preferred.
Benefits
- Real ownership over known-class problems with senior and staff support for genuinely novel issues.
- Work on high-visibility, high-trust systems supporting the business.
- Clear growth path into Senior Data Engineer with opportunities to mentor and shape team practices.
- Location: United Kingdom.
About Fanatics
Fanatics is committed to relentlessly enhancing the fan experience. As a leading global sports platform, Fanatics allows fans to buy, bet, and collect while engaging with sports in deeper, more immersive ways. Fanatics is redefining how fans connect with their favorite teams and players. Through its businesses—Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Markets, and Fanatics Studios—the company has built a powerful, integrated ecosystem. By bringing together licensed fan gear, physical and digital trading cards, live events, and more, Fanatics delivers personalized experiences to over 100 million fans worldwide. Fanatics currently holds partnerships with over 900 sports properties, including professional and college teams, leagues, players’ associations, and retail partners. Fanatics also partners with over 5,000 athletes and celebrities, including 250 exclusive partnerships, and has over 2,000 retail locations. Beyond these partnerships, Fanatics has its own powerhouse team of more than 22,000 global employees.