Hybrid Data Engineer

Posted last month

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About the role

  • Data Engineer at Odaseva developing data pipelines for secure data management in Salesforce environments. Join the R&D team to shape the future of data management.

Responsibilities

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

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.

Benefits

  • Competitive & Rewarding – Offering industry-leading compensation and benefits.
  • Flexible Work Environment – We support a hybrid, flexible office culture.

Job title

Data Engineer

Job type

Experience level

SeniorLead

Salary

Not specified

Degree requirement

Professional Certificate

Location requirements

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