What you will do

About the role

This is a hands-on role for a Seior 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.

What will you be doing?

• 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.

Tech stack

Python SQL Amazon Web Services C# .NET

What we offer

What do we offer?

• 🗓️ Annual Salary Review: We are reviewing the salaries of all our teams annually in order to evaluate an increase according to individual performance and the business results.
• 📦 99% discount on your personal shipment orders via Packlink.pro
• 💙 Up to 500PLN/year to match your NGO donations! We are happy to support your initiatives by duplicating the amount donated.
• 😊 Volunteer day. You can take 1 day off per year in order to participate in volunteering activities! We will love to see some pictures in our slack!
• Referral Fee 🔗 We need your support in hiring top-class talent! We offer a referral bonus of 4-20k, depending on the complexity of the role and the hiring process.
• 👩‍⚕️We have an Employee Assistance Program with psychological assistance free of charge.
• ⚖️ Great work-life balance We offer a flexible work schedule and will do our best to adapt to your personal situation. Working in a fast-paced environment can be intense, but that doesn’t mean you shouldn’t enjoy your free time!
• 💜 An inclusive and upbeat work environment Leave your suit behind... we’re a t-shirt and converse kind of place! More importantly, our company culture promotes diversity and inclusion. The personality and opinions of each of our team members are important and valid, and we aim to offer all employees a safe environment where they can be themselves and thrive.
• 🌍 A cross-cultural atmosphere We are a truly international team of 20 nationalities that speak 10 languages. Our company language is English and all internal communication and company-wide meetings are in English.
• 🏟️ Company events Work hard, play hard! We do our best every day, even at our regular team-building events.
• 📺 Internal and external training, free access to online training platforms such as Linkedin Learning
• 🏠 Possibility to work in a home-office using equipment provided by AUCTANE, or in our office prepared in accordance with all safety requirements.
• 📙 Personal Training Budget. Up to 3.500 PLN/year training budget (certifications, conferences attendance, etc.) to invest in your professional development. We want to help you improve your technical skills, feel involved in the product community, and develop your soft skills to lead teams and manage other stakeholders.
• 🌅 Up to 30 days of vacation per year (additional days are granted along with seniority at AUCTANE).
• 🗺️ Languages classes every week. Thirsty for knowledge? Learn a new language by joining our free English/Spanish/German classes. You can connect and enjoy taking up a new language or improving your current skills with one of our great instructors.
• 🏥 Free private medical insurance.
• 📄 Attractive life insurance.
• 🏐 Co-financing for sports and recreational activities
• 🏐 Gym membership co-financing
• 🏢 Nice Office in Zielona Gora (free drinks, snacks…)

Do you want to know a little bit more about the team? Please, don’t hesitate to reach out to Amazing Auctane-PL and our Instagram

Requirements

What are we looking for?

• At least 5 years of proven experience in data engineering roles
• A strong Data Engineering background in a data warehouse or data lake architecture
• Experience working in AWS/GCP cloud infrastructure.
• Experience developing and supporting robust, automated, and reliable data pipelines in Python and SQL.
• Mastered Python and SQL skills.
• Experience with data processing frameworks like Spark, Athena, or Pandas.
• Knowledge of Data Orchestration solutions, preferably Airflow.
• Knowledge of relational database design as well as Snowflake/Redshift or similar

What will make you stand out?

• Production experience working with very large datasets.
• Experience with AWS and big data cloud technologies like EMR, Athena, Glue, and EC2.
• Direct experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation)
• Knowledge and direct experience in using business intelligence and analytics tools (Tableau, Looker, Power BI, etc.)
• A desire to constantly challenge the norm Proven track record of promoting and maintaining high engineering standards.
• Fast learner with a keen interest in evaluating and adopting new technologies: Apache Iceberg, Dagster, DBT, GreatExpectations, Prefect, Snowflake, etc.
• Understanding of core ML concepts like supervised and unsupervised learning, overfitting, and cross-validation as well as LLM concepts like fine-tuning, etc.