Senior Data Generalist

amo; Paris; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Central Paris office near Opera

Health care 100% coverage

8-9 weeks vacation per year

Onsite five days a week

Job summary

amo is seeking a senior data engineer in Paris to build and maintain batch and streaming data pipelines, moving production data into archival storage, and improving the quality and observability of derived datasets.

You will design validations for freshness and schema correctness, create reusable datasets, and optimize queries for speed and cost. The role entails hands-on work with PySpark, Spark SQL, Parquet, and Iceberg in a central Paris office.

Qualifications

• Senior-level experience building and operating data pipelines.
• Strong Python and SQL proficiency with production experience in Python/Scala.
• Hands-on with PySpark, Spark SQL, Spark Streaming, Parquet, Iceberg.
• In-depth understanding of batch and stream processing and query optimization.
• Familiarity with distributed data systems and data lake architectures.

Responsibilities

• 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 to reduce one-off data extraction and aggregation work.
• Optimize queries and data processing for correctness, latency, and cost.
• Prototype with the right tools, then integrate production experiments into amo’s systems.

Skills

Senior data pipelines

Python

SQL

Production Python/Scala

PySpark / Spark

Parquet / Iceberg

Batch & streaming

Query optimization

Distributed data systems

Data lakes / storage formats

Job description

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?).