We’re looking for a passionate and experienced Senior Data Engineer to join our client's progressive engineering team and help them shape the future of data infrastructure and analytics. If you're someone who values clean code, scalable systems, and continuous learning — we’d love to meet you.

Engineering-first culture:
☁️ Born in the cloud: CI/CD, IaC, observability (O11y), and CyberSec are in our DNA.
📚 Learning at our core: We run a progressive Engineering Learning & Development program.
🌍 Active in the community: We attend and speak at local and international tech conferences.
🚀 Career growth: Technical or leadership track — you choose your path.

Tech Stack:

Snowflake, Databricks, AWS (S3, Redshift)

Python, SQL, Scala

Data Lake & Delta Lake architectures

CI/CD, IaC, containers, OSS tools

Batch & stream processing with Spark, Flink, Kafka, Kinesis

What You’ll Do:

Design, build, and maintain scalable, secure, and reliable data pipelines

Contribute to our data architecture using modern frameworks like Medallion or Kimball

Develop clean, testable code in Python, Scala, or similar languages

Own your work from development to deployment and monitoring

Optimize performance of data systems, both in batch and real-time

Work collaboratively in an agile, cross-functional environment

Share knowledge and support engineering growth through L&D and mentorship