Data Engineer

We’re looking for a Data Engineer to join our Data Engineering team. We build the data platform that powers decision-making across the entire company — from product insights to customer analytics.

If you enjoy building scalable pipelines, working with PySpark, AWS, and Databricks, and want to grow your expertise in a collaborative team, we’d love to hear from you.

You’ll be part of a team that builds and operates the data platform behind many of the company’s key functions, supporting a variety of teams with diverse use cases, from analytics to internal tools and customer-facing features. To support that range effectively, we focus on standardization, industry-standard tooling, and best practices that make our solutions scalable, reliable, and easy to maintain.

• Build and maintain reliable data pipelines (batch and streaming) using PySpark, SQL, and AWS
• Help develop and scale our company-wide Data Lake on AWS and Databricks (operating at petabyte scale)
• Work with data from diverse sources: APIs, file systems, databases, event streams
• Contribute to internal tooling (e.g., schema registries) to improve workflows
• Write clean, tested code and participate in code reviews
• Collaborate closely with other engineers, analysts, and product teams to deliver data solutions
• Learn and experiment with new tools and best practices in modern data engineering

• Python – clean code, testing, and ability to read existing codebases
• Apache Spark – development and basic performance tuning
• SQL – good understanding and hands-on experience
• Git – solid version control habits
• Strong English – comfortable working and communicating in an international team
• Distributed systems mindset – solid understanding of fault tolerance, data partitioning, shuffling, and parallel processing

• Delta Lake, Databricks
• Apache Airflow or similar orchestration tools
• Amazon S3, AWS experience overall
• Streaming & messaging technologies – Kafka, Kinesis, RabbitMQ
• Python libraries for RESTful APIs
• Data modeling
• PostgreSQL, ElasticSearch
• Familiarity with JVM languages (e.g., Java, Scala)

Beyond the Tech
Besides strong technical skills and clear communication, we value the ability to explain technical concepts clearly and contribute your own ideas. We also appreciate a broad understanding of the modern data landscape and awareness of industry best practices.

• Languages & Tools: Python with PySpark, SQL, Git
• Data & Storage: AWS S3, Databricks, Delta Lake, PostgreSQL, ElasticSearch
• Streaming: Kafka, Kinesis, RabbitMQ
• Workflow & Orchestration: Apache Airflow
• Infrastructure: AWS (core services), Docker