amo

Senior Data Engineer

Listed by employer · Checked

Older posting · still listed ·

  • onsite
  • FullTime
  • Engineering
  • Paris
Work arrangement
onsite
Employment
FullTime
Stated compensation
Not specified
Apply on company website ↗
01 / A QUICK CHECK BEFORE YOU APPLY

Does the location policy fit?

Choose where you would work from. We’ll compare it with the posting’s stated requirements.

Choose the country you will work from. You can change this anytime.

Country and sponsorship changes take effect when you click Check eligibility.

Choose a country to check geographic compatibility. The source requirements are available below.

Source: ashbyChecked Original posting ↗
This is an older posting.

The employer’s posting date is more than 60 days ago. It remained listed at our last successful check; it may be a long-running or evergreen opening. Confirm availability on the original posting before applying.

Browse jobs posted in the past 60 days →

Requirements

1 with evidence8 unclear or unstated
Remote policy
onsite
“Provider workplace type: onsite”
From employer posting metadata
Employment type
FullTime
9 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
Not specified
Compensation
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

Reading view uses normalized posting text so exact evidence excerpts can be highlighted.

What You’ll Do Build and maintain batch and streaming data pipelines. Move production data into archival/data lake storage safely and observably.
Read full descriptionShow less description
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 HaveExperience 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.
Original formatting and links
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.

Similar roles

All amo jobs →

Matched by role category. Review each posting’s requirements before applying.

THE JOB ELIGIBILITY CHECKER

Check a job