Data Engineer

GROUPE LR TECHNOLOGIES

. Design and develop data pipelines (ingestion, transformation, and storage) .

Posted 9/17/2026full-timeBois-Colombes • FranceMid-LevelSenior💰 €45,000 - €60,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing data pipelines, optimizing databases, and implementing data processing in both batch and real-time environments. Proficient in Python, SQL, and data processing tools, with a strong focus on data quality and collaboration with cross-functional teams.

Highest-signal resume keywords

Data Pipeline DevelopmentDatabase OptimizationPython ProficiencySQL ProficiencyCloud Environment Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ProcessingDatabase ModelingBatch ProcessingReal-Time ProcessingData Quality AssuranceData TransformationData IngestionData StorageIoT Experience

Soft Skills

ThoroughnessCuriosity

Tools & Technologies

SparkAirflowDbtGCPBigQueryDataflowKafkaPub/Sub

Industry Keywords

Data TechnologiesEngineering ConsultingIndustrial CompaniesInnovative Technology Systems

Tech Stack

Tools & technologies

AirflowBigQueryCloudFluxGoogle Cloud PlatformIoTKafkaPythonSparkSQL

About the role

Key responsibilities & impact

Design and develop data pipelines (ingestion, transformation, and storage)
Model and optimize databases
Implement batch and real-time data processing
Ensure data quality and reliability
Industrialize and automate data flows
Collaborate with data scientists and business teams
Write technical documentation
Stay up to date with data technologies
Contribute to the development of an engineering consulting firm that supports industrial companies in developing innovative technology systems

Requirements

What you’ll need

Graduate of an engineering school or holder of a Master's degree (Bac+5 equivalent) in computer science or data-related fields
At least 3 years of experience in data engineering
Proficiency in Python and SQL
Proficiency with data processing tools (Spark, Airflow, dbt, or equivalent)
Experience in a cloud environment, ideally GCP (BigQuery, Dataflow)
A good level of English is required
Experience with IoT or high-volume data would be highly valued
Knowledge of streaming technologies (Kafka, Pub/Sub) is a plus
Thoroughness and curiosity

Benefits

Comp & perks

Great Place to Work-certified company
EcoVadis-certified company