Data Engineer

extra holidays - fully flexible
Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Previous experience in a similar role is required., Strong experience in data analytics and business intelligence in a fast-paced environment is essential., Proficiency in SQL and cloud data warehouses like BigQuery, Redshift, or Snowflake is necessary., Skilled in Python for building ETL pipelines and automation, with familiarity in eCommerce data sources is a plus..

Key responsibilities:

  • Build and optimize data pipelines to collect, process, and store data from various platforms.
  • Design and maintain data warehouse architecture and ensure data accessibility and quality.
  • Collaborate with analysts, marketers, and developers to deliver clean and trustworthy data.
  • Implement automated data reporting processes and enable scalable dashboards for self-service analytics.

GT Ecom logo
GT Ecom Retailtech: Retail + Technology Startup https://gtecombv.com/
11 - 50 Employees
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Job description

Founded in 2018 and headquartered in The Netherlands, GT Ecom BV is on a mission to build the most efficient global direct-to-consumer infrastructure and become the world’s largest e-commerce company—powered by a collective of successful, scalable brands. By 2026, we’re aiming to achieve $500 million in revenue and operate over 50 thriving online stores worldwide.

With a team of 160+ top-tier remote e-commerce professionals across the globe, we blend local brand experiences with cross-border logistics, ensuring every customer feels connected—no matter where they are.

At our core, we value hard work, freedom with responsibility, constant improvement, and a mindset of positivity. We believe in building a high-performance, remote-first culture where honesty, excellence, and creativity drive everything we do—because the future of work is global, and we’re building it together.

The Upsides of Working with Us

💪 Hard Work That Matters

We’re surrounded by people who care deeply and give their best. We don’t settle for average—we show up, push boundaries, and aim high. That shared drive creates momentum and meaning in everything we do.

🔓 Freedom with Responsibility

You have the freedom to choose how, when, and where you work—but freedom only thrives when it’s paired with ownership. We trust you to manage your time, meet your commitments, and take responsibility for your impact.

📚 Constant Improvement

Growth is part of our DNA. We believe in learning, evolving, and getting 1% better every day. Whether it’s a new skill, a fresh mindset, or sharper execution—stagnation isn’t in our vocabulary.

🌞 Positivity by Default

We approach people, problems, and communication with a positive mindset. That means giving the benefit of the doubt, staying constructive, and keeping energy high—even when challenges arise.

🗣️ Honesty & Transparency

We believe the fastest way to move forward is through clear, honest communication. No politics. No guessing games. Just straight talk that builds trust and strengthens our team.

🏆 Excellence Is the Baseline

We hold ourselves and each other to a high standard—not out of pressure, but out of pride. We care too much about what we’re building to accept "good enough." Excellence is the expectation.

🎯 Creativity Welcome Here

We encourage bold ideas, fast testing, and open collaboration. Failure doesn’t scare us—comfort does. That’s why creativity is valued as a core ingredient in everything from product to process.


We’re on the lookout for a Data Engineer to help us drive growth by turning messy eCommerce data into clean, actionable insights and scalable dashboards!


The Challenge

As our eCommerce business continues to grow, so does the complexity and volume of our data. We’re looking for a Data Engineer who can take ownership of building and maintaining our data infrastructure—ensuring our dashboards are automated, scalable, and delivering insights we can trust. This role is critical to help us unlock smarter decision-making across marketing, sales, and operations.

Day In the Life of a Data Engineer at GT Ecom

  • Build and optimize data pipelines to collect, process, and store data from platforms like Shopify, Google Ads, Meta, Klaviyo, and other marketing/sales tools.
  • Design and maintain our data warehouse architecture (BigQuery, Snowflake, or similar).
  • Collaborate with analysts, marketers, and developers to ensure data is accessible, clean, and trustworthy.
  • Implement data quality checks, automated alerts, and ETL/ELT pipelines.
  • Integrate third-party APIs and automate data reporting processes.
  • Enable scalable dashboards and support self-service analytics using tools like Looker, Tableau, or Power BI.

Early Success Milestones for this role

  • You improved existing dashboards and built new, more advanced dashboards that enabled better decision-making.
  • You automated data flows, eliminated manual reporting, and helped the team act faster on clean and accurate data.
  • You helped structure our data foundation for long-term scalability and team-wide accessibility.

Your Team When You Join Us

You’ll report directly to our COO and collaborate closely with our marketing, tech, and analytics teams to support data-driven decisions across the business.


We would love to hear from you if…

  • You have previous experience in similar role
  • You have strong experience in data analytics and business intelligence in a fast-paced environment.
  • You are proficient in SQL and cloud data warehouses (e.g., BigQuery, Redshift, Snowflake).
  • You are skilled in Python for building ETL pipelines and automation.
  • You are familiarity with eCommerce data sources like Shopify, GA4, Meta Ads, Google Ads, and Klaviyo.
  • You are experienced with data orchestration tools such as Airflow, dbt, or similar is a strong plus.
  • You are proactive—you enjoy improving systems before they're broken and making sense of messy data.
Couple of the notes about the role
  • This is not a salaried position. This is an Independent Contractor role.
  • You must be able to commit at least 8 hours per day, 40 hours per week. Schedule is negotiable.
  • We require everybody in the team to use Hubstaff (https://hubstaff.com/) to track hours worked.

Compensation

  • EUR 13.90 - 18.50 per hour + performance bonus + EUR 75/month reimbursable health stipend

If you are excited about the opportunity and feel like you are a good fit, we encourage you to apply today and talk to one of our recruiters. We look forward to seeing how your skills and experiences align with our vision.

Required profile

Experience

Industry :
Retailtech: Retail + Technology
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Proactivity
  • Problem Solving

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