Senior Data Engineer

Amo·Parissenior

In short

→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.

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

What they ask for

✓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.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonSQLPySparkSpark SQLSpark StreamingParquetIcebergData lakesTable formatsDistributed data systems

Who should you write to at Amo?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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.

Looking for something similar?

Leave your email and we'll alert you when matching jobs appear.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.