Senior Engineer, Data Engineering

At Auctane, we are united by a passion to help businesses deliver — whatever their size, wherever they are, and however they operate. We make it possible for businesses to meet the ever-changing requirements of their industry and customer expectations. Auctane products enable hundreds of thousands of businesses to annually mail and ship billions of items — over $200 billion worth — to recipients around the globe. The Auctane family of mailing and shipping software products includes ShipStation, Stamps.Delight Customers. This is a hands-on role for a Senior 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 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. Energy and passion for our business and customers are a part of the Auctane culture – and we love working with like-minded people. 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. Drive the design and architecture of Auctane’s data product. 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. 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 Experience with AWS and big data cloud technologies like EMR, Athena, Glue, and EC2. 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. Tech stack Python SQL Amazon Web Services C# .NET 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. ~Up to 500PLN/year to match your NGO donations We are happy to support your initiatives by duplicating the amount donated. ~#We need your support in hiring top-class talent 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. More importantly, our company culture promotes diversity and inclusion. 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 o nline training platform s 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.) 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. ~#Learn a new language by joining our free English/Spanish/German classes. Free private  medical insurance . ~#Please, don’t hesitate to reach out to  Amazing Auctane-PL  and our  Instagram