Data Engineer - Remote

Overview

This is a hands-on role for a Data Engineer sitting within the Data Products team. In this role, you will have an enormous impact on the design, implementation, and maintenance of existing and greenfield customer-facing data products. Data is key to Auctane’s strategy. We work at a scale pace and with the latest architecture patterns and tech. We process thousands of events per second, and our massive dataset keeps growing at a staggering pace. We keep improving our data platform and data engineering stack to accommodate growth, enable novel solutions, and provide the best service to our customers. We have a flat and open engineering culture where data & evidence beat opinion and hierarchy, backed by honest discussions. We passionately believe in forming autonomous, cross-functional teams who are empowered to deliver our ambitious strategy. Energy and passion for our business and customers are a part of the Auctane culture – and we love working with like-minded people.

In Short

• Contribute to the design, build, and operational management of our data pipelines and analytics solution on top of proven AWS data technologies like S3, Athena, Lambda, and Kinesis.
• Collaborate with the Product Owner and other stakeholders to implement the Data Products strategy.
• Develop frameworks and solutions that enable us to acquire, process, monitor and extract value from our massive dataset.
• Drive the design and architecture of Auctane’s data product.
• Contribute directly to the implementation and operations of our systems.
• Be an advocate of data quality and observability principles and use state-of-the-art technologies like Airflow, dbt, and Spark to process data and get our datasets just right.
• Foster engineering excellence by delivering highly reliable software and data pipelines using Software Engineering best practices like automation, version control, continuous integration/continuous delivery, testing, security, etc.

Requirements

• A strong Data Engineering background.
• Experience working in AWS cloud infrastructure.
• Experience developing and supporting robust, automated, and reliable data pipelines in Python and SQL.
• Excellent Python and SQL skills.
• Experience with data processing frameworks like Spark, Trino (Athena), or Pandas.
• Knowledge of Data Orchestration solutions, preferably Airflow. Knowledge of relational database design.
• Polish and English are required for this role.

Benefits

• Annual Salary Review.
• Personal Training Budget.
• Up to 30 days of vacation per year.
• Up to 500 PLN/year to match your NGO donations.
• Lunch card.
• Volunteer day.
• Referral Fee.
• Employee Assistance Program.
• Great work-life balance.
• An inclusive and upbeat work environment.