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Zenika

Data Engineer

Zenika

. Design, develop, and optimize batch and streaming data pipelines .

Posted 10/6/2026full-timeParis • FranceMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and optimizing data pipelines, with a strong command of the GCP Cloud ecosystem and proficiency in Python. Capable of implementing data governance and security measures while contributing to data platform modernization and automation efforts.

Highest-signal resume keywords
Data Pipeline DesignGCP Cloud EcosystemPython ProficiencyData Governance ImplementationOrchestration Tools Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLGCPApache SparkData ModelingData GovernanceInfrastructure as CodeCI/CDOrchestration ToolsData Warehousing
Soft Skills
Knowledge SharingCollaboration
Tools & Technologies
DatabricksSnowflakeApache AirflowTerraformGitGitLab CIGitHub ActionsConfluentApache KafkaDbt
Industry Keywords
Data EngineeringData GovernancePII Privacy ManagementSecNumCloudEU AI ActNIS2DORAEco-Friendly PipelinesData Carbon FootprintMedallion Architecture

Tech Stack

Tools & technologies
AirflowApacheCloudGoogle Cloud PlatformJavaKafkaPySparkPythonScalaSparkSQLTerraformTypeScriptGo

About the role

Key responsibilities & impact
  • Design, develop, and optimize batch and streaming data pipelines
  • Ingest, collect, and store raw data in a distributed manner within data warehouses or Lakehouse and medallion architectures (Bronze, Silver, Gold)
  • Automate infrastructure deployments using Infrastructure as Code and CI/CD
  • Secure data and implement data governance, including PII privacy management, RLS/CLS access controls, and traceability
  • Continuously optimize the performance and scalability of data processing workloads
  • Model data to optimize pipeline performance and data consumption
  • Contribute to data platform modernization and migration projects involving GCP/S3NS, Databricks, or Snowflake
  • Integrate AI into the software and data lifecycle and automate code and pipeline quality assurance
  • Design audit and trust architectures compliant with SecNumCloud 3.2, the EU AI Act, or NIS2/DORA
  • Design eco-friendly pipelines, measure the data carbon footprint, and optimize computing and Cloud resources
  • Work within integrated teams and contribute to guilds, pair programming, and peer-to-peer knowledge sharing
  • Participate in a recruitment process including an introductory discussion, a technical interview, and a consulting/culture discussion

Requirements

What you’ll need
  • At least 4 years of experience in a Data Engineer role
  • Proficiency in Python
  • Essential: strong command of the GCP Cloud ecosystem
  • Solid experience with orchestration tools such as Airflow, Kestra, or Dagster
  • Strong focus on code quality and Software Craftsmanship
  • Java or Scala experience is a plus
  • Experience with Spark is a plus
  • Knowledge of Python, SQL, Java, Scala, and Apache Spark (PySpark)
  • Knowledge of dbt and Dataform
  • Knowledge of Confluent and Apache Kafka
  • Knowledge of Google Cloud / S3NS, Databricks, and Snowflake
  • Knowledge of Apache Airflow, Terraform, Git, GitLab CI, or GitHub Actions
  • A passion for knowledge sharing
  • Experience across multiple technical and functional ecosystems

Benefits

Comp & perks
  • Minimum of 2 certifications per year (Google Cloud, Databricks, dbt, Confluent, Snowflake, Airflow, Terraform)
  • Career development opportunities toward roles such as Technical Lead, Data Architect, Partner Subject-Matter Expert, Manager, or Trainer
  • Internal guilds, pair programming, and peer-to-peer knowledge sharing
  • Talks, training, and open-source projects
  • Flexible remote work
  • Respect for personal time
  • Transparent compensation
  • Responsible business model focused on inclusion, workplace equality, and digital sustainability
  • Work environment built on active listening and fairness
  • Recruitment process adapted to individual needs
  • Onboarding adapted to individual needs