Data Engineer @ Auctane

This is a hands-on position for a Data Engineer within the Data Products team at Auctane. As a key member of our team, you will have a significant impact on the design, implementation, and maintenance of existing and greenfield customer-facing data products. Data is crucial to Auctane's strategy, and we work at a rapid pace with the latest architecture patterns and technologies. Our massive dataset is processed thousands of events per second, and we continuously improve our data platform and 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 and evidence take precedence over opinion and hierarchy, backed by honest discussions. We believe in forming autonomous, cross-functional teams who are empowered to deliver our ambitious strategy. If you're passionate about our business and customers, we'd love to hear from you.

• 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.

• Data engineering experience.
• AWS and cloud technologies expertise.
• Experience with data pipelines, SQL, Python, Spark, Athena, Airflow, relational databases, big data, Amazon EMR, Glue, AWS EC2, Infrastructure as Code, Terraform, CloudFormation, Tableau, Looker, Power BI, dbt, Snowflake.
• Tools: Jira, Confluence, Agile.

• Annual salary review.
• Personal training budget.
• Up to 30 days of vacation per year.
• Up to 500 PLN/year to match NGO donations.
• Lunch card.
• Volunteer day.
• Referral fee.
• Employee Assistance Program.
• Great work-life balance.
• Inclusive and upbeat work environment.
• Cross-cultural atmosphere.
• Company events.
• Internal and external training.
• Free access to online training platforms.
• Home-office setup.
• Languages classes.
• Free private medical insurance.
• Attractive life insurance.
• Co-financing for sports and recreational activities.
• Gym membership co-financing.