Senior Data Engineer

Let's start with the role

At Kaizen, our commitment to the unparalleled value of data drives every decision we make. Building on our robust Data Lake architecture, we are moving towards a transformative Data Mesh architecture—treating data as a product with well-defined contracts, distributed ownership, and domain-oriented design.

As we evolve our data ecosystem, we are deeply focused on data democratization, governance, observability, and secure, scalable ingestion. Our goal: every piece of data perfectly accessible, monitored, governed, and efficiently ingested from its source into our platform.

Our data tribe is well-prepared to lead this transition, driving the design and expansion of next-generation Data Products and ingestion frameworks. By joining our team, you’ll be at the forefront of Kaizen’s data-driven innovation.

Our Tech Stack: Spark, Python/Scala, Databricks, Delta Lake, Apache Airflow, Airbyte, GitLab, Grafana, Kafka, and cloud-native services (Azure/AWS).

As a Senior Data Engineer, you will:

• Design and optimize scalable data pipelines (batch and streaming) integrating diverse sources across cloud platforms.
• Embed observability and governance using modern frameworks and metadata management tools.
• Implement security controls, including encryption, masking, and role-based access.
• Deploy and manage solutions using CI/CD best practices within a “you build it, you run it” culture.
• Collaborate with domain teams and stakeholders to align on data contracts and platform standards.
• Continuously evaluate emerging technologies to enhance our platform’s scalability and efficiency.

What you'll bring

• Strong software engineering expertise, with experience in production-grade data platforms.
• Proficiency in Spark, orchestration frameworks (e.g., Dagster), and cloud environments (Azure).
• Understanding of security best practices for enterprise data environments.
• A collaborative mindset and the ability to work across domains in a distributed ownership model.
• Curiosity and passion for innovating with modern data architecture and tooling.