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