Data Engineer III: End-to-End Pipeline Mastery

Fanaticsfbg; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Fanatics is seeking a Data Engineer III to join our Data Engineering team in the United Kingdom. You will build and govern data pipelines using Python, Airflow, and Snowflake/Databricks, ensuring secure, reliable data delivery from source to decision-ready output.

You will own end-to-end ingestion sources, diagnose pipeline issues, and contribute to governance, security, and data delivery efforts while mentoring junior engineers and collaborating with stakeholders.

Qualifications

• 3–5 years of professional software or data engineering experience.
• Strong SQL and Python skills, with production data pipelines experience.
• Experience with workflow orchestration tools (Airflow) and a cloud data warehouse/lakehouse (Snowflake, Databricks).
• Solid understanding of data pipeline concepts: idempotency, schema evolution, backfills, and data quality/testing.
• Experience giving substantive code review feedback, not just style or formatting comments.

Responsibilities

• Implement new ingestion sources end-to-end against a senior engineer's design — connector code, DAG, schema, monitoring, and catalog registration.
• Investigate pipeline failures independently, recognize known classes of issues, and ship the documented fix without needing to escalate.
• Before shipping a new pipeline, identify downstream consumers and what would break if data were late or wrong, and flag gaps during spec review.
• Write clear handovers when escalating an unresolved issue — what you tried, what you ruled out, and where things diverge.
• Review peers' pipeline PRs and catch non-obvious issues that could cause incorrect downstream data.
• Turn ambiguous data quality questions into structured investigations — trace data lineage from source to warehouse.
• Surface concerns in spec review as specific, well-reasoned questions rather than blocking progress.
• Support data security and governance work (e.g., PII masking, RBAC) and contribute to data delivery work including reverse ETL integrations.
• Build strong working relationships with internal stakeholders and help scope and clarify requirements for new work.
• Mentor DE2s on their first significant projects — pairing on tricky decisions and helping apply team conventions.

Skills

SQL

Python

Data pipelines

Code review

Communication

Tools

Airflow

Snowflake

Databricks

Datadog

Job description

Fanatics is seeking a Data Engineer III to join our Data Engineering team in the United Kingdom. You will build and govern data pipelines using Python, Airflow, and Snowflake/Databricks, ensuring secure, reliable data delivery from source to decision-ready output.

You will own end-to-end ingestion sources, diagnose pipeline issues, and contribute to governance, security, and data delivery efforts while mentoring junior engineers and collaborating with stakeholders.