Senior Data Engineer

Amo·Parissenior

En corto

→Construyes y mantienes pipelines de datos por lotes y en streaming.
→Optimizas consultas y procesos para rendimiento, costo y calidad de datos.
→Trabajas en un entorno presencial en París con beneficios generosos y tiempo de descanso reales.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

🎧¿Llegás a la entrevista? Llevá el copiloto. Nuestra extensión escucha la entrevista en vivo y te muestra anclas de 3-4 palabras desde tu CV y tu preparación — mirás, conectás, hablás. Gratis. Ver la extensión →

¿Qué piden?

✓Experiencia senior en construcción y operación de pipelines de datos.
✓Dominio de Python y SQL.
✓Experiencia en producción con Python o Scala.
✓Conocimiento de PySpark, Spark SQL, Spark Streaming, Parquet e Iceberg.
✓Entendimiento sólido de procesamiento por lotes y en streaming.
✓Experiencia en optimización de consultas.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonSQLPySparkSpark SQLSpark StreamingParquetIcebergData lakesTable formatsDistributed data systems

¿A quién escribirle en Amo?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

What You’ll Do Build and maintain batch and streaming data pipelines. Move production data into archival/data lake storage safely and observably. Improve quality, reliability, and observability of derived datasets. Design validations for freshness, completeness, schema correctness, and data quality. Build reusable datasets that reduce one-off data extraction and aggregation work. Optimize queries and data processing jobs for correctness, latency, and cost. Prototype in the right tools, then integrate scoped production experiments with amo’s systems where needed. Must Have Senior-level experience building and operating data pipelines. Strong Python and SQL. Production experience with Python or Scala. Experience with PySpark, Spark SQL, Spark Streaming, Parquet, and Iceberg. Strong understanding of batch and stream processing. Query optimization experience. Familiarity with data engine internals and distributed data systems. Experience with data lakes, table/storage formats, and derived datasets. Nice To Have Experience with Flink or similar stream processing systems. Experience with ML training or inference pipelines. Familiarity with ranking, recommendations, embeddings, or entity resolution. Experience with privacy-sensitive data systems, GDPR workflows, or data deletion/export pipelines. Experience reading or making scoped changes in Rust-backed systems. Life at amo To ensure that everyone is set up for success within our way of working, we work together onsite 5 days a week. We wanted to make sure coming to the office was as comfortable as possible for you: We chose a location in central Paris, near Opera (Metro lines 3,8,9 and RER A). We have a beautiful Parisian-style office with high ceilings, balconies, and huge windows. So a lot of natural light! Because life outside of work should also be stress-free, we cover: Health care (100% coverage). Maternity Leave, Paternity Leave, Second Parent Leave (salary maintained at 100%). Vacation days: 8-9 weeks (total) per year - (European summer? 🥹😎). 5 weeks of paid time off (by the state); 1-2 additional weeks (RTT, based on our company contract); ~11 bank holidays. We shut down entirely twice a year, two weeks in summer and one week in winter to allow everyone to truly recharge and to avoid prolonged slowdowns (especially in the summer). These pauses are part of your total vacation time, giving everyone a real chance to unplug and recharge. No Slack, no email, no FOMO.

¿Buscando algo parecido?

Dejá tu email y te avisamos cuando salgan vacantes que coincidan con tu perfil.

No apliques sin prepararte

Investigamos quién te entrevista, adaptamos tu CV y te ensayamos en vivo — gratis la primera.