Staff Data Engineer

PPRO is seeking a Staff Data Engineer to join its Munich, Cavalier County office. This senior role will lead the design, development, and optimisation of large‑scale data pipelines that power global payment solutions.

Key Responsibilities

• Architect, build, and maintain robust, scalable data platforms supporting real‑time and batch processing.
• Collaborate with product, analytics, and engineering teams to translate business needs into data solutions.
• Define data models, governance standards, and best practices for data quality, security, and compliance.
• Mentor junior engineers, conduct code reviews, and champion a culture of continuous improvement.
• Monitor performance, troubleshoot bottlenecks, and implement cost‑effective cloud‑based solutions.

Required Experience & Skills

• 10+ years of hands‑on experience in data engineering, preferably in fintech or payment services.
• Deep expertise with SQL, Python/Scala, and modern data stack tools (e.g., Spark, Flink, Kafka, Airflow).
• Extensive experience designing data warehouses/lakes on cloud platforms such as AWS, GCP, or Azure.
• Strong understanding of data governance, GDPR, and PCI‑DSS compliance.
• Proven leadership abilities and excellent communication skills.

Education & Certifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Relevant certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer) are a plus.

Compensation & Benefits

Salary: $135,721.89 per year.

PPRO offers a competitive benefits package, flexible working arrangements, and the opportunity to work with a diverse global team representing 50 nationalities across 10 locations.

Frequently Asked Questions

What technologies will I work with as a Staff Data Engineer at PPRO?

You will work with SQL, Python/Scala, Spark, Flink, Kafka, Airflow, and cloud platforms like AWS, GCP, or Azure to build scalable data pipelines.

Is remote work possible for this role?

PPRO offers flexible working arrangements, allowing a mix of on‑site and remote work based on team needs and project requirements.

What level of experience is required?

The role requires at least 10 years of data engineering experience, preferably in fintech or payment services, with proven leadership abilities.