Data Engineer (Remote)

Hire Feed; France; Sur place; EUR 55 000 - 85 000; Plein temps

Résumé du poste

Hire Feed is seeking a Data Engineer to design, build, and maintain scalable data pipelines for real-time and batch processing. You will collaborate with cross-functional teams to ensure data integrity and accessibility across the organization.

The role emphasizes ETL/ELT development, cloud data services, and governance frameworks, with opportunities to work on enterprise-grade analytics infrastructure.

Qualifications

• Proficiency in Python and SQL with pipeline experience.
• Experience with ETL/ELT design and data warehousing.
• Knowledge of cloud data services and big data tech.

Responsabilités

• Design, build, and maintain scalable data pipelines for real-time and batch processing.
• Collaborate with cross-functional teams to ensure data availability and quality.
• Implement data governance, security, and compliance standards.
• Monitor pipelines and resolve performance issues.

Connaissances

Python

SQL

Airflow

Cloud platforms

Dimensional modeling

Data governance

Metadata management

Data quality

Kafka

Spark

Outils

BigQuery

Redshift

S3

Hadoop

Description du poste

We are hiring for one of our clients, seeking a Data Engineer to work on a full-time basis. The role involves designing, building, and maintaining scalable data pipelines that support real-time and batch processing systems. You will collaborate with cross-functional teams to ensure data integrity and accessibility across the organization.

Key Responsibilities:

• Design and implement ETL/ELT pipelines to ingest, transform, and load data from multiple sources into data warehouses and lakes.
• Develop and optimize data models to support analytics and reporting needs.
• Collaborate with data scientists and analysts to ensure data quality and availability for downstream applications.
• Monitor pipeline performance and troubleshoot issues to maintain system reliability.
• Implement and enforce data governance, security, and compliance standards.

Required Skills & Qualifications:

• Proficiency in Python, SQL, and experience with data pipeline tools like Apache Airflow or similar.
• Experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., BigQuery, Redshift, S3).
• Strong understanding of data warehousing concepts and dimensional modeling.
• Familiarity with big data technologies (e.g., Spark, Hadoop) and streaming platforms (e.g., Kafka).
• Knowledge of data governance, metadata management, and data quality frameworks.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of scalable data infrastructure that powers enterprise-wide analytics. The position supports high-impact projects with a focus on innovation and efficiency.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.