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Join to apply for the Senior Analytics Engineer role at Packlink — Simply Shipping

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Join to apply for the Senior Analytics Engineer role at Packlink — Simply Shipping

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, Endicia, Metapack, GlobalPost, Packlink, and Return Rabbit. 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

We are seeking a highly skilled and experienced Senior Data Engineer to join our team and play a key role in advancing our central data platform. In this role, you will be instrumental in driving the next level of maturity for our data infrastructure, focusing on implementing self-service capabilities and robust data governance, and enabling strategic business decisions. You will bring a problem-solving and data-oriented set of skills with deep technical knowledge of data treatment tools.

What you'll find is :

• A growing business with international expansion.
• Global leaders in our sector.
• GCP Cloud Environment and data services related.
• Leading tools in the market : Composer (Apache Airflow), Dataflow (Apache Beam), BigQuery, DBT.
• A high-performance team based on software engineering best practices, continuous integration, continuous delivery, and self-documentation.
• Opportunities to influence data warehouse architecture and scalability challenges.
• A company with more than 15 nationalities.
• And much more!

What will you be doing?

• Collaborate with internal technology teams to deliver data engineering / analytics capabilities.
• Design, build, and support data-centric services : event streaming, ETL pipelines, distributed data storage using Airflow, Apache Beam, BigQuery, and DBT.
• Apply software engineering best practices : testing, version control, CI / CD in GCP.
• Work with architects to ensure reliable, scalable, and robust data architecture.
• Enhance and scale the company's data warehouse.
• Build and design a self-service platform to promote data governance.

What are we looking for?

• Bachelor's degree in engineering, computer science, or related field, or equivalent experience.
• Excellent organizational and communication skills.
• Fluent in Spanish & English, both verbal and written.
• Advanced Python programming skills.
• Strong knowledge of development best practices and tools.
• Experience with streaming and batch data ingestion.
• Experience with job orchestration tools like Apache Airflow.
• Proficiency with SQL-like languages.
• Experience in data modeling and architecture with DBT or similar tools.
• Experience with analytical tools like Looker.
• High initiative and collaborative spirit.

What will make you stand out?

• Experience with GCP data technologies (Dataflow, Composer, BigQuery).
• Data testing and quality assurance experience.
• Experience working with stakeholders to generate insights.

What do we offer?

• Transparent compensation with salary review based on performance.
• 99% discount on personal shipments via Packlink.pro.
• Up to 150 € / year for NGO donations.
• Volunteer days and support for initiatives.
• Referral bonuses for hiring referrals.
• Employee assistance programs, work-life balance, inclusive culture, and international environment.
• Remote-first policy with expenses covered for home office setup.
• Generous holidays, training budgets, health benefits, and wellness programs.
• Language classes, office amenities, and flexible working hours.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Technology, Information and Internet

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