Senior Engineer - Data Engineering

Key Responsibilities

• •Contribute to the design and development of scalable data pipelines and a growing data lake
• •Build and extend data processing workflows using Python, Apache Spark, and Databricks
• •Define technical standards, best practices, and reusable frameworks for data engineering
• •Ensure data quality, reliability, performance, and maintainability across data solutions
• •Support data modeling, data integration, and transformation processes for analytics and reporting
• •Drive automation, monitoring, and CI/CD improvements to ensure operational excellence
• •Collaborate across teams, acting as a technical interface between the data platform and engineering, analytics, and business stakeholders.
• •Contribute to architecture decisions and long-term data platform strategy

Your Profile

• •Outstanding programming experience, preferably in Python; ability to write clean, testable, production-grade code; able to write clean, testable, production-grade code
• •Strong SQL skills and familiarity with structured and semi-structured data formats (JSON, Protobuf, Delta format)
• •Hands-on experience with Apache Spark, ideally on Databricks, and understanding of the medallion architecture
• •Solid grasp of data lakehouse principles, data modeling, and data governance concepts
• •Experience building and maintaining CI/CD pipelines (e.g. GitLab CI); familiarity with IaC and deployment
• •Cloud Platforms: Experience with AWS or comparable cloud providers; familiarity with Databricks as a managed Lakehouse platform
• •Experience with event-driven architectures or streaming platforms (e.g. Kafka)
• •Proven track record deploying, monitoring, and maintaining data pipelines and services in
• production environments; experience with testing practices
• •Able to work autonomously and take ownership of tasks end-to-end
• •Clear and concise communicator — comfortable working across engineering and data teams

Education & experieance

• •Bachelor's degree in Software Engineering, Mathematics, Physics, or a related field
• •3 years of project/coding experience in a company
• •Cloud experience:
• •Databricks, AWS/Azure
• •Staging, testing, Git, pipelines
• •Distributed systems, data pipelines

• •Python experience:
• •Versioning, package management, requirements/environments
• •Change data capture

• •Data engineering experience:
• •SQL
• •Partitioning
• •Data structures (tables, relations)
• •Lakehouse