Data Engineer

Playson; France; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

A leading technology firm is seeking a Data Engineer to design, build, and maintain data infrastructure. Responsibilities include developing scalable data pipelines, ensuring data integrity, and collaborating with teams for actionable insights. Required experience includes 4+ years in data engineering and expertise in ETL processes and SQL. The company offers competitive compensation, unlimited vacation, and opportunities for professional growth.

Prestations

Competitive compensation

Comprehensive medical insurance

Unlimited vacation and sick leave

Opportunities for professional growth

Qualifications

• 4+ years of experience in data engineering or a similar role.
• Expertise in ETL processes, data pipelines, and managing large-scale data systems.
• Problem-solving mindset with the ability to resolve complex technical challenges.

Responsabilités

• Design, develop and maintain efficient, scalable data pipelines for BI.
• Ensure data accuracy, integrity, and security across all systems.
• Collaborate with BI team to provide infrastructure for actionable insights.

Connaissances

Data pipelines

ETL processes

SQL

Python

Microservice architectures

OLAP databases

Data ingestion

Database design

Data management best practices

Outils

Power BI

Tableau

Apache Kafka

AWS

Redash

Clickhouse

Docker

Kubernetes

Description du poste

Playson is seeking a Data Engineer to join our growing team. In this role, you’ll design, build, and maintain data infrastructure to ensure smooth and scalable data operations. If you’re passionate about robust data pipelines and leveraging technology to empower decision-making, we’d love to hear from you.

What You'll Be Doing

• Design, develop and maintain efficient, scalable data pipelines to support BI and analytics.
• Ensure data accuracy, integrity, and security across all systems.
• Collaborate with the BI team to provide the infrastructure needed for actionable insights.
• Optimize ETL processes for speed and reliability.
• Proactively evaluate and integrate new tools and technologies into existing systems, focusing on scalability and innovation.
• Troubleshoot, debug, and resolve complex technical challenges in a fast-paced environment.

What You’ll Bring

• 4+ years of experience in data engineering or a similar role.
• Expertise in ETL processes, data pipelines, and managing large-scale data systems.
• Proficiency in SQL, Python, and microservice architectures.
• Experience building OLAP databases and integrating them with BI tools like Power BI, Tableau, or similar platforms.
• Strong understanding of data ingestion, database design, data warehouse, and data lake concepts, as well as best practices for data management.
• Problem-solving mindset with the ability to resolve complex technical challenges.

Nice-to-Have Skills

• Experience with real-time data streaming platforms such as Apache Kafka.
• Experience building data pipelines on AWS.
• Experience with Redash and Clickhouse.
• Understanding of AI/ML workflows for data science.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Understanding of iGaming market, game provider business model and relevant metrics
• Entrepreneurial mindset to thrive in a fast-paced environment.

What We Offer

• Competitive compensation with transparent bonus structures.
• Comprehensive medical insurance and life event financial support.
• Unlimited vacation and sick leave policies.
• Opportunities to attend industry-leading events and grow professionally.
• Access to cutting-edge technology and tools in a dynamic industry.