2 months ago
London, United KingdomSenior
Responsibilities
- Implement 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.
- Identify downstream consumers and data quality risks during specification review before implementation.
- Review pipeline pull requests for substantive 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 initiatives, including PII masking and access controls.
- Contribute to reverse ETL and other data delivery work.
- Build relationships with internal stakeholders and help scope and clarify requirements.
- Mentor DE2 engineers on significant projects and 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 for data pipelines.
- Experience providing substantive code review feedback.
- Ability to investigate and root-cause pipeline issues independently before escalating.
- Strong written and verbal communication skills for technical handovers, specification reviews, lineage investigations, and stakeholder communication.
- Experience taking ownership of known-class problems end to end.
- Preferred experience extending reusable pipeline frameworks or templates.
- Preferred exposure to reverse ETL, PII masking, data access governance or RBAC, and observability tools such as Datadog.
- Some mentoring experience and background in gaming, betting, e-commerce, or regulated or high-compliance industries are preferred.
Benefits
- Real ownership over known-class problems with senior or staff support for genuinely novel issues.
- Work on high-visibility, high-trust systems that the business depends on.
- Clear growth path into Senior Data Engineer with opportunities to mentor and shape team practices.
About Fanatics
Fanatics is a New York–based digital sports platform that sells licensed team merchandise, trading cards, and operates a growing online sportsbook for fans. Its businesses span e-commerce for leagues and teams, manufacturing and distributing collectibles (including the Topps trading card brand), and betting and iGaming. The privately held company operates globally and powers official online stores and in-venue retail for major professional and college sports organizations.