Data Engineer

TL;DR

Data Engineer: Building and operating 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 with an accent on standardization, industry-standard tooling, and best practices that make our solutions scalable, reliable, and easy to maintain. Focus on learning and experimenting with new tools and best practices in modern data engineering.

Location: Czech Republic (Prague, Pilsen, Brno)

Company

hirify.global builds tools that help brands better understand and serve their customers.

What you will do

• Build and maintain reliable data pipelines (batch and streaming) using PySpark, SQL, and AWS.
• Help develop and scale company-wide Data Lake on AWS and Databricks.
• Work with data from diverse sources: APIs, file systems, databases, event streams.
• Contribute to internal tooling (e.g., schema registries) to improve workflows.
• 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.

Requirements

• 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.

Nice to have

• 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.

Culture & Benefits

• International, fast-paced, and rapidly growing environment.
• Flexible environment with the possibility of home office working.
• Agile and open-minded culture, with high levels of trust and flexibility.
• Opportunity for professional growth and development.
• Possibility to learn new and cutting-edge technologies, in an environment that encourages new ideas.