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via Greenhouse · 27 de agosto de 2026 ·hace 23 días

Data Engineer (Madrid based)

auctane

Madrid

Este anuncio proviene de Greenhouse

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<div class="content-intro"><h2 style="text-align: left;"><img style="display: block; margin-left: auto; margin-right: auto; max-width: 100%;" src="https://brand.auctane.com/uploads/fhmikF1ylz02TLjtkC429w.png" alt="" width="600"></h2>
 
About us
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
<img style="max-width: 100%;" src="https://postimg.cc/N5Q8NR10" alt="">Win as One. Delight Customers. Deliver Great Outcomes. </div> 
About the role
In this role, you will have an impact on the design, implementation, and maintenance of existing and greenfield customer-facing and internal data products. 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 part of our culture – and we love working with like-minded people. This role is based in Madrid, Spain
What will you be doing?
<ul>
<li>Contribute to the design, build, and operational management of our data pipelines and analytics solution using Databricks.</li>
<li>Collaborate with the Product Owner and other stakeholders to implement the ShipStation Global data strategy.</li>
<li>Develop frameworks and solutions that enable us to acquire, process, monitor and extract value from our enterprise-wide dataset.</li>
<li>Contribute to the design and architecture of ShipStation Global's data platform.</li>
<li>Contribute directly to the implementation and operations of our systems.</li>
<li>Be an advocate of data quality and observability principles and use Databricks Lakeflow and Spark to process data and get our datasets just right.</li>
<li>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.</li>
</ul>
What are we looking for?
<ul>
<li>A strong Data Engineering background in a lakehouse or data warehouse architecture</li>
<li>Experience developing and supporting robust, automated, and reliable data pipelines in Python and SQL.</li>
<li>Mastered Python and SQL skills.</li>
<li>Experience with data processing frameworks like Spark or dbt.</li>
<li>Knowledge of Data Orchestration solutions, like Databricks Lakeflow or Airflow.</li>
<li>Knowledge of relational database design </li>
<li>A desire to constantly challenge the norm, with a proven track record of promoting and maintaining high engineering standards.</li>
<li>Fast learner with a keen interest in evaluating and adopting new technologies.</li>
</ul>
What will make you stand out?
<ul>
<li>Production experience working with very large datasets.</li>
<li>Direct experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation)</li>
<li>Knowledge and direct experience in using business intelligence and analytics tools (Tableau, Looker, Power BI, etc.)</li>
<li>Understanding of core ML concepts like supervised and unsupervised learning, overfitting, and cross-validation as well as LLM concepts like fine-tuning, etc.</li>
<li>Comfortable working with AI-assisted engineering tools (e.g., Claude Code) to accelerate development and code review.</li>
</ul>
The tech stack
<ul>
<li>Databricks</li>
<li>Python</li>
<li>SQL</li>
<li>Spark</li>
</ul>
What do we offer?
💸 Clear and transparent compensation plan. Salary range: 43000 € to 52000€/year. We will discuss the indicated range with you in the first recruiting call to ensure that we are on the same page. 
💰 Flexible salary benefits Save on personal income tax with Cobee for expenses like transport, restaurants, and kindergarten.
🩺 Private health insurance Free for all employees via Cigna, plus we cover 50% for your family members.
🌅 Generous time off Enjoy 26 days of holiday per year (23 base days + your 🎂 birthday off, Christmas Eve, and New Year’s Eve).
💻 Your gear, your choice Whether you prefer Mac or Windows, or need an extra screen, we’ll make sure you’re set up for success from day one.
🗓️ Annual Salary Review We’re committed to recognizing your professional growth. Every year, we review salaries to reflect your individual development, achievements, and impact on our business success.
📙 Grow your skills We offer up to €2000/year in training (certifications, conferences, workshops) to boost your growth—both technical and personal.
📺 Learning resources Access internal and external training, including platforms like LinkedIn Learning, completely free.
🧘‍♂️ Holistic wellness program Includes access to Wellhub, Curalinc (psychological support), Rocketlawyer (legal advice), and regular health webinars & challenges.
😊 Volunteer day Take one day off a year to volunteer and give back. Bonus points for sharing pics on Slack!
👩‍⚕️ Free therapy vouchers Because your mental health matters.
🏐 Health & wellness support Get up to €55/month to cover your gym or fitness classes (yoga, boxing, pilates, etc.).
🗺️ Weekly language classes Improve or learn a new language (English, Spanish, French, Italian, or German) in small groups with expert instructors—on us!
🏥 Time for health Get 8 hours per year for per

Este anuncio proviene de Greenhouse. Ver anuncio original ↗

Data Engineer (Madrid based)

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