Data Engineer at Odaseva

Paris, Île-de-France, France

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SaaS, Data ManagementIndustries

Requirements

Equivalent engineering school degree, or a Master's degree in Computer Science, Data Science, or Applied Mathematics
7–12 years in data engineering or backend data platforms
Strong Python and SQL; experience with Spark and modern ELT/Orchestration (e.g., dbt, Airflow)
Hands-on with Databricks and/or Snowflake in production
Experience on AWS (S3, Glue/Athena, Redshift, Lambda) and lakehouse formats (Iceberg or Delta Lake)
Familiarity with data security, governance, and compliance
Proven experience with data modeling
Knowledge of cost management principles
Salesforce data knowledge is a plus, not mandatory
Foundational AI/ML understanding and motivation to contribute to early use cases
Fluent in English and French, clear communication, ownership mindset, and collaborative approach
Excellent interpersonal skills and ability to interact with diverse business stakeholders

Responsibilities

Data Pipeline Development: Design, build, and maintain ingestion/processing pipelines at scale using Python/SQL and Spark; operate within a lakehouse stack (Apache Iceberg or Delta Lake)
Databricks & Snowflake Engineering: Implement and optimize workflows on Databricks (Jobs, Workflows, Delta) and/or Snowflake (Warehouses, Tasks, Streams) and/or native cloud provider solutions (AWS / AZURE)
Platform Optimization: Improve performance, reliability, and cost on AWS (S3, Redshift, Athena/Glue, Lambda), with strong observability and IaC practices
Secure Data Management: Apply security-by-design, data governance, and compliance best practices across storage, compute, and sharing layers
AI Use Case Enablement: Partner with Product team and R&D team to prepare data for initial AI/ML use cases (feature pipelines, data quality, lineage)
Data Sharing & Integration: Enable secure, efficient data access for customers via connectors, APIs, and lakehouse sharing patterns (e.g., Delta Sharing, Snowflake data sharing)

Skills

Key technologies and capabilities for this role

PythonSQLSparkDatabricksSnowflakeApache IcebergDelta LakeAWSS3RedshiftAthenaGlueLambdaIaC

Questions & Answers

Common questions about this position

What experience level is required for this Data Engineer role?

The role requires 7–12 years in data engineering or backend data platforms.

What are the key technical skills needed for this position?

Strong Python and SQL skills are required, along with experience in Spark, Databricks and/or Snowflake, AWS services like S3, Glue/Athena, Redshift, Lambda, and lakehouse formats such as Iceberg or Delta Lake.

Is remote work an option for this role?

This information is not specified in the job description.

What are Odaseva's company values?

Odaseva's values are Trust, Service, Commitment, Excellence, Kaizen, and One Team.

What education is required for this Data Engineer position?

An equivalent engineering school degree or a Master's degree in Computer Science, Data Science, or Applied Mathematics is required.

Odaseva

Data governance solutions for Salesforce users

About Odaseva

Odaseva focuses on data governance for Salesforce, providing services that help large enterprises protect, comply, and optimize their data operations. Their offerings include backup and restore solutions for data protection, assistance with compliance to regulations like GDPR and CCPA, and tools for managing data operations. Unlike competitors, Odaseva specifically targets Salesforce users and operates on a subscription-based model, allowing for customized solutions. The company's goal is to ensure that organizations can securely manage their data while adhering to necessary regulations.

San Francisco, CaliforniaHeadquarters

2012Year Founded

$88.6MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Enterprise Software, CybersecurityIndustries

51-200Employees

Benefits

Flexible Work Hours

Risks

Emerging startups with lower-cost solutions could threaten Odaseva's market share.

Over-reliance on Salesforce poses risks if Salesforce changes its data management policies.

Economic downturns may lead to IT budget cuts, affecting Odaseva's subscription revenue.

Differentiation

Odaseva specializes in Salesforce data management for large enterprises, ensuring data security.

The company offers comprehensive compliance solutions for GDPR and CCPA regulations.

Odaseva provides automated data operations tools, enhancing data quality and innovation speed.

Upsides

Odaseva raised $54M in Series C funding to expand product offerings and market reach.

The rise of AI-driven tools offers opportunities for Odaseva to enhance data analysis capabilities.

Growing data sovereignty laws increase demand for Odaseva's robust data governance solutions.

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