Data engineer

About the Role

We are looking for a highly skilled
Data Engineer
to join our Data & Analytics team in
Herstal
.

You will play a key role in designing, building, and optimizing modern data pipelines and cloud-based architectures leveraging
AWS
,
Snowflake
,
Spark
, and a broad integration ecosystem.

You will collaborate with cross-functional teams to ensure reliable data flows, scalable infrastructures, and high-quality datasets powering analytical and operational use cases.

Key Responsibilities
Data Engineering

• Design, build, and optimize data pipelines (batch and real-time)
• Develop data transformations using
  Python
  ,
  SQL
  , and
  Spark
• Integrate diverse data sources via
  AWS Glue
  ,
  MuleSoft
  ,
  Kafka
  , and API-based ingestion

Cloud Architecture (AWS)

• Implement and maintain scalable cloud data architectures on
  AWS
• Design data models and ingestion frameworks for
  Snowflake
• Ensure availability, security, and performance of data platforms

Infrastructure & Automation

• Deploy infrastructure as code using
  Terraform
• Contribute to CI/CD pipelines and automated deployment processes
• Monitor and troubleshoot data workflows in production

Required Skills & Experience
Must-have

• 3+ years of experience as a
  Data Engineer
• Strong knowledge of
  AWS
  (Glue, Lambda, S3, IAM, Step Functions…)
• Solid experience with
  Snowflake
• Proficiency in
  Python
  ,
  Spark
  , and
  SQL
• Experience with
  Kafka
  (streaming/real-time processing)
• Experience with
  Terraform
  for IaC
• Strong understanding of data modeling and ETL/ELT design

Nice-to-have

• MuleSoft integration experience
• Knowledge of CI/CD (GitLab CI, GitHub Actions, Jenkins, etc.)
• Experience in industrial/operational environments is a plus

What We Offer

• A stimulating environment in a fast-growing Data-driven organization
• Work on cutting-edge cloud technologies and large-scale data projects
• Hybrid working model based in
  Herstal
• Attractive compensation package based on experience