Lead Data Engineer

Roma 23-09-2025

Lead Data Engineer

Renewcast S.r.l. Roma 23-09-2025
Riassunto

Località

Roma

Divisione Aziendale

Tipo di contratto

Data di pubblicazione

23-09-2025

Descrizione Lavoro

Your Role
Own the data foundation that powers our forecasts. Design, orchestrate, and optimize reliable pipelines with a strong focus on performance, cost efficiency, observability, and reproducibility. You'll mentor/manage a small team and collaborate closely with Data Science, Meteorology, MLOps, Client Data Ingestion, and DevOps.
What You Will Do
Own the data foundation: from client weather/production data to curated, production-ready features.
Orchestrate workflows: Airflow (v3 preferred), Dagster, Prefect.
Batch ELT across multiple data sources and schedules, real-time ingestion when needed.
Alongside classic pipelines you will set up and maintain tensor-first pipelines: xarray, Zarr, Dask.
Observability & performance: metrics, logs, p50/p95 latency; cost/latency trade-offs.
Resilience: restartable and idempotent workflows, safe reruns/backfills, schema evolution tracking, lineage.
Mentor & manage: delegate well, coach where needed, stay hands-on when it matters.
Collaborate across functions to align features, architecture, SLAs.
Must-Have
7–10+ yrs in Data Engineering with leadership/mentorship experience.
Strong orchestration experience with a preference for asset-first, event-driven workflows as supported in modern orchestrators.
Strong track record in building and optimising scalable batch ELT/ETL workflows with state-of-the-art frameworks and distributed processing engines.
Experience with observability & performance optimisation (metrics, alerts, cost awareness).
Building resilient pipelines (failures, reruns, safe and tracked schema evolution, lineage tools).
Bonus Points
Tensorial stack (xarray, Zarr, Dask) or scientific formats (NetCDF, GRIB).
Familiarity with modern product oriented delivery methods (e.g., Shape Up).
How We Work
We prize autonomy, ownership, and crisp communication. Priorities and decisions are transparent across DS, Engineering, and Commercial so teams move together, not in silos.
What Success Looks Like
Clear, reliable data flows that are easier to reason about and improve.
Faster, more cost-efficient pipelines with robust monitoring/alerting.
A resilient orchestration layer and reproducible environments.
Juniors growing under your mentorship and delivering confidently.
What We Offer
Strategic ownership with direct leadership visibility to leadership.
Competitive compensation + ESOP.
Flexible hybrid work; offices in Tallinn and Rome.
Growth into discipline lead for Data Engineering.
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