Senior Data Engineer - Scalable Pipelines & Cloud Analytics

Approach People; Paris; On-site; EUR 85,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Growth opportunities

Dynamic team

Leadership opportunities

Job summary

Approach People Recruitment is seeking a Senior Data Engineer in Paris to join a fast-growing company focused on big data and scalable analytics.

You'll develop data pipelines, design robust architectures, ensure data quality and security, collaborate with data scientists and software engineers, and optimize cloud-based infrastructure. A strong background in Spark/Hadoop/Kafka, SQL, Python/Scala, and cloud platforms is essential.

Qualifications

• Bachelor's/Master's degree in Computer Science, Data Engineering, or equivalent.
• Minimum of 5 years of experience in data engineering.
• Strong experience with big data technologies (Spark, Hadoop, Kafka, etc.).
• Proficiency in SQL and programming languages such as Python or Scala.
• Experience with cloud platforms (AWS, GCP, Azure) and data warehousing solutions.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong understanding of ETL processes and data modeling best practices.

Responsibilities

• Developing and maintaining scalable data processing pipelines.
• Designing robust data architectures to support analytics and machine learning initiatives.
• Ensuring data quality, reliability, and security across all systems.
• Collaborating with data scientists, analysts, and software engineers to enable efficient data access.
• Implementing and optimizing cloud-based data infrastructure.
• Staying up to date with the latest data engineering trends and technologies.

Skills

Spark

Hadoop

Kafka

SQL

Python

Scala

Education

Bachelor's/Master's degree in Computer Science or Data Engineering

Tools

AWS

GCP

Azure

Job description

Approach People Recruitment is seeking a Senior Data Engineer in Paris to join a fast-growing company focused on big data and scalable analytics.

You'll develop data pipelines, design robust architectures, ensure data quality and security, collaborate with data scientists and software engineers, and optimize cloud-based infrastructure. A strong background in Spark/Hadoop/Kafka, SQL, Python/Scala, and cloud platforms is essential.