Lead Data Engineer

SWIFT

Brussels, Belgium

About the Role:

We are seeking a highly skilled Lead Data Engineer to architect, develop and maintain business use-cases. The ideal candidate will have extensive experience with Airflow, Spark, Starburst, Delta Lake and S2 and a strong background in testing and quality assurance using Jira XRay. This role requires leadership capabilities to guide a team of engineers and collaborate closely with business analysts, platform and business stakeholders. The squad is based in both Malaysia (Kuala Lumpur) and Belgium (La Hulpe).

Key Responsibilities:

Design, develop, and maintain reliable, scalable, and efficient data pipelines.
Knowledge and experience with Medallion Architecture (Bronze, Silver, Gold).
Orchestrate complex workflows using Apache Airflow.
Develop distributed data processing jobs using Apache Spark.
Implement object storage solutions using Cloudian S3 for data lake architectures.
Build and manage Delta tables with schema enforcement and evolution
Optimize data access and querying using Starburst/Trino.
Ensure high data quality by adapting testing frameworks and writing automated tests using Jira XRay.
Ensure high availability, fault tolerance, and performance of data platforms.
Collaborate with data analysts and business stakeholders to understand data requirements.
Implement data quality checks, monitoring, and alerting mechanisms.
Enforce data governance, security, and compliance standards.
Participate in technical design discussions and contribute to architectural decisions.
Mentor junior engineers and promote engineering best practices.
Participate in on-call support and incident management when required.

Required Qualifications

Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology, or related field.
10+ years of experience in data engineering, big data, or analytics platforms.
Strong hands-on experience with: Apache Airflow, Apache Spark, Delta Lake, Cloudian S3 or S3-compatible object storage, Starburst/Trino, Red hat OpenShift.
Proficiency in Java is a must.
Experience in testing and quality assurance using Jira Xray is a huge plus.
Experience with Python/Scala is an advantage.
Experience with containerization and orchestration (Docker, Kubernetes, OpenShift) is a plus.
Familiarity with CI/CD pipelines and DevOps practices.
Solid understanding of data modelling, data warehousing, and data lake architecture.
Experience working with large-scale, high-volume, and high-velocity data systems.
Strong analytical, communication and presentation skills, with excellent English, both written and spoken.
Team player with strong interpersonal skills, willing to work in a multicultural environment and able to lead, coach and groom other team members.
Adaptability and responsiveness to change.