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# Data Engineer H/F

- **Company:** Bienvenue Chez Klanik
- **Location:** France (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Data Analysis, Big Data, BigQuery, Continuous Integration, Data Infrastructure, Extract Transform Load (ETL), DevOps, Python (Programming Language), Standard Sql, SQL Databases, Data Streaming, Data Ingestion, Snowflake, Apache Spark, Git, Pyspark, Information Technology, Data Analytics, Terraform, Data Pipelines, Databricks
- **Published:** September 1, 2026
- **Apply:** https://www.hellowork.com/fr-fr/emplois/82886805.html

## About the Role

Required QualificationsBachelor's degree in Computer Science or related field (Master's preferred)3+ years of experience as a Data Engineer2+ years building Databricks pipelinesStrong SQL and Python / PySpark / SparkSQL skills2+ years of dbt experience1+ year of TerraformExperience with Git-based CI/CD workflowsStrong knowledge of big data architectures and data modelingNice to HaveExperience with Snowflake, Redshift, or BigQueryDatabricks administration experienceAPI or streaming data ingestion experienceSkillsStrong analytical and problem-solving skillsExcellent communication and stakeholder collaborationAbility to work in a fast-paced, data-driven environment, Bachelor's degree in Computer Science or related field (Master's preferred)
3+ years of experience as a Data Engineer
2+ years building Databricks pipelines
Strong SQL and Python / PySpark / SparkSQL skills
2+ years of dbt experience
1+ year of Terraform
Experience with Git-based CI/CD workflows
Strong knowledge of big data architectures and data modeling

Nice to Have
Experience with Snowflake, Redshift, or BigQuery
Databricks administration experience
API or streaming data ingestion experience

Skills
Strong analytical and problem-solving skills
Excellent communication and stakeholder collaboration
Ability to work in a fast-paced, data-driven environment

## Description

We are looking for a Data Engineer to design, build, and maintain a scalable and reliable data platform supporting analytics and data science use cases. The role focuses on Databricks-based pipelines, data quality, and modern DevOps practices, working closely with BI, Analytics, and business stakeholders., Design and optimize ETL/ELT data pipelines on Databricks and AWS
Maintain and evolve the Medallion architecture
Build reusable frameworks for data ingestion, transformation, and validation
Develop data models, schemas, and datasets for analytics and visualization
Implement data quality checks and anomaly detection
Apply DevOps and CI/CD practices, strongly leveraging Terraform
Collaborate with cross-functional teams and support data infrastructure needs
Document pipelines, data models, and technical processes
Mentor team members and support Databricks platform administration


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