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Senior Data Engineer

Senior Data Engineer

AuctaneWrocław, Województwo dolnośląskie, Polska
22 days ago
Job description

Overview

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.com, ShipStation API, Metapack, GlobalPost, and Packlink. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart.

Our values : Win as One. Delight Customers. Deliver Great Outcomes.

About the role : 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 fast 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. Salary : up to 21,500 PLN monthly.

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, and security.

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 and a 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
  • 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 500 PLN / year to match your NGO donations
  • Volunteer day : You can take 1 day off per year to participate in volunteering activities
  • Referral bonus : 4–20k, depending on the complexity of the role and the hiring process
  • Employee Assistance Program with psychological assistance free of charge
  • Great work-life balance with a flexible work schedule
  • An inclusive and upbeat work environment where you can be yourself
  • A cross-cultural atmosphere with an international team and English as the company language
  • Company events and ongoing training, including access to online training platforms
  • Possibility to work from home or in the Zielona Gora office, with safety-compliant arrangements
  • Personal Training Budget up to 3,500 PLN / year for certifications and conferences
  • Up to 30 days of vacation per year (additional days with seniority)
  • Language classes every week (English / Spanish / German)
  • Co-financing for sports and recreational activities
  • Nice office in Zielona Góra with free drinks and snacks
  • Interested in building your career at Auctane? Get future opportunities sent straight to your email.

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    Senior Data Engineer • Wrocław, Województwo dolnośląskie, Polska

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