Big Data Engineer
Odaseva has an opening for a Big Data Engineer in Paris, France. The listing describes it as a full-time position with hybrid working.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
Odaseva has an opening for a Big Data Engineer in Paris, France. The listing describes it as a full-time position with hybrid working.
From the advert, the main requirements are 7+ years of experience and English and French language skills.
The advert mentions Python, Java, SQL, Spark, Snowflake, Databricks, AWS and observability among the skills and tools for this role.
The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.
Visa sponsorship is not mentioned. Applicants from outside France should check the official work permit route before applying.
Dev Global Jobs found this job on Arbeitnow on Nov 15, 2026.
- Employer
- Odaseva
- Location
- Paris, France
- Work mode
- hybrid
- Job type
- Full-time
- Pay
- Not stated by the employer
- Experience asked
- 7+ years
- Languages asked
- English and French
- Found
- Nov 15, 2026 on Arbeitnow
- Employer text
- 361 words, about 2 min to read
- Apply only on the official page (arbeitnow.fr). Dev Global Jobs is not the employer and never asks for a fee.
- Compare your own experience with the 7+ years the advert asks for, and show it clearly near the top of your CV.
- Mirror the skills the advert names (Python, Java, SQL and Spark) in your CV where you really have them; applicant tracking systems look for these words.
- Say your level in English and French plainly (for example B2 or C1).
- Read the employer’s full text below (about 2 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for Paris (ICSC post adjustment 49.5), as of 1 Nov 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Talent Passport: Qualified employees, researchers, artists, investors; multi-year permit
- Employee (salarié) visa: Employer work authorisation from the labour office
- Temporary worker visa: Contracts under 12 months
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
Data Pipeline Development & Operations: Design, build, handle, and monitor Spark data pipelines for large-volume data lake ingestion (handling hundreds of TBs).
Platform & Cost Optimization: Continuously optimize the performance, reliability, and costs of big data pipelines and infrastructure.
Databricks, Snowflake & Cloud Engineering: Deeply leverage Databricks, Snowflake, or AWS Redshift, alongside cloud provider solutions (AWS S3, Glue/Athena, Lambda) for scalable data engineering.
Lakehouse Architecture: Demonstrate strong expertise in managing, creating, and optimizing Delta Lake or Apache Iceberg tables.
Secure Data Management: Apply security-by-design, data governance, and compliance best practices across storage, compute, and sharing layers.
7+ years of experience in data engineering or backend data platforms, with at least 3 years of hands-on experience building and operating big data pipelines.
Hands-on engineer background with proven track record handling large volumes of data (at least hundreds of TB).
Deep knowledge of at least one data lake platform among Databricks, Snowflake, or AWS Redshift.
Strong expertise in Apache Spark (creation, handling, and monitoring of pipelines) and lakehouse table formats (Delta Lake or Apache Iceberg).
Strong Python or Java and SQL skills, cloud infrastructure (AWS S3, Athena, Glue), and IaC/observability practices.
Solid understanding of cost management principles, data security, governance, and data modeling.
Equivalent engineering school degree or Master’s degree in Computer Science, Data Science, or Applied Mathematics.
Fluent in English and French, with clear communication, ownership mindset, and strong collaborative skills.
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