Loop earplugs

Senior Data Engineer I

Amsterdam, NL; Antwerp, BE Full Time

We are Loop 

Loop Earplugs is reinventing how people experience the world by enabling them to live life at their own volume. 2024 was a pivotal year at Loop – we hit 14,000,000 earplugs sold, were named ‘The Best Earplugs for Concerts’ by The New York Times, and expanded our product offering to a complete range of solutions for day and night. Oh – and not to mention making history as the first company to win Deloitte’s Fast 50 Belgium twice. 

But this is just the beginning. As we continue to develop disruptive products, we’re constantly on the lookout for the next big idea - and building a team who can make it happen.

Being a Looper means making a difference. Whatever your role, this is your stage to make a real impact and bring your ideas to life. Better yet, you’ll join a fast-growing, global team of 250+ people who are passionate, down-to-earth and eager to tackle challenges together. 

5+ yrs data engineering experience | Hybrid | Antwerp or Amsterdam

In this role, you’ll work with a state-of-the-art data stack—DBT, dltHub, Jinja, Snowflake, and Dagster—and extend your impact into cloud operations across GCP/Azure. You’ll take direct ownership of building, deploying, and optimizing data pipelines and cloud infrastructure, ensuring high reliability, scalability, and security. You’ll collaborate closely with Data Engineers, AI Engineers, and Data Analysts to design robust, cloud-native data solutions that drive actionable insights and empower the business

Drive scalable cloud-native data infrastructure and empower decision-making

As a Senior Data Engineer I, you’ll ensure data and infrastructure flow seamlessly across GCP/Azure environments. You’ll automate, monitor, and optimize cloud-based data services—enabling the Analytics team and AI team to make confident, data-driven decisions. You’ll take ownership of both data pipelines and their cloud foundations, ensuring cost efficiency, resilience, and compliance as our operations scale rapidly across multiple regions. As a senior technical contributor, you’ll influence architectural decisions, define engineering standards, and mentor peers while fostering a strong culture of knowledge sharing within the data and AI community at Loop. Your work will ensure that our data platform remains secure, high-performing, and future-proof—a critical enabler of business success.

Your key responsibilities:

  • Design, develop and maintain ETL/ELT pipelines using Python, experience with dltHub is a plus.
  • Optimize data storage and performance within Snowflake.
  • Implement workflow orchestration with Dagster for reliable data processing.
  • Automate infrastructure and deployments, applying IaC and DevOps best practices.
  • Monitor, secure, and optimize cloud environments, ensuring uptime, cost efficiency, and compliance.
  • Collaborate with AI engineers, data analysts and business stakeholders to align data solutions with strategic goals, ensuring high data quality and accessibility.
  • Establish engineering standards, document best practices, and mentor junior engineers.
  • Contribute to knowledge-sharing initiatives that elevate data literacy and technical capability across teams.

How you’ll succeed:

You combine deep data engineering expertise with a cloud operations mindset. You’re passionate about building robust systems that scale, perform, and stay resilient. You enjoy collaborating with multidisciplinary teams and have a proactive approach to automation and

optimization. Your curiosity drives innovation, your mentorship elevates peers, and your technical leadership ensures that Loop’s data foundation is strong, flexible, and future-ready.

These key competences will set you up for success:

  • 5+ years of experience building secure and scalable cloud data infrastructure, a degree in Computer Science or related field is a plus.
  • Proficiency in Python and SQL for data manipulation, automation, and orchestration.
  • Hands-on experience with Snowflake for data modeling, performance tuning, and integration with cloud ecosystems. 
  • Strong CloudOps expertise in GCP and/or Azure, including compute, storage, IAM, and networking.
  • Proven experience with DBT for data transformation, testing, and documentation. 
  • Familiarity with workflow orchestration tools such as Dagster. - Experience implementing Infrastructure as Code (IaC) using Terraform. 
  • Experience with DevOps practices, including CI/CD pipeline tools such as Docker, Kubernetes, Github Actions.
  • Familiarity implementing monitoring and observability tools (e.g. Grafana, ELK).
  • Strong communication and collaboration skills, working effectively with cross-functional and non-technical stakeholders.

Job evolution

  • Within your first month, you’ll immerse yourself in Loop’s data and cloud ecosystem—learning how analytics, AI, and business teams interact with our data platform. You’ll help refine development practices, strengthen observability, and contribute to establishing standards for data quality, orchestration, and infrastructure management.
  • By your third month, you’ll take full ownership of a key data domain or pipeline, leading design and implementation across GCP/Azure/Snowflake. You’ll optimize core workflows, align architecture decisions with AI and Analytics teams, and deliver measurable improvements in scalability, reliability, or efficiency.
  • By your sixth month, you’ll be driving multiple data initiatives—owning systems end-to-end from design to production. You’ll help shape Loop’s data roadmap, mentor peers, and define standards for how we build and operate data systems at scale. Your leadership will ensure that our cloud-native infrastructure continues to enable faster insights and data-driven innovation across the company.

Why join us? 

  • Our culture? We’re all about enabling growth by giving our team full autonomy to manage their own projects, be a thought leader, and truly make an impact on the company. 

  • We take care of our people. So, we pay them what they’re worth. We benchmark each salary extensively against local market data.

  • Flexibility: For us, hybrid and flexible working is all about trust. And we trust you to get on with your job, so there’ll be no micromanaging or peeking over your shoulder from us.

  • Benefits: Our benefits are all aimed towards looking after your health, and enabling you to live life to the fullest. So everything from health insurance and retirement savings to the latest tools is covered.

 
Come as you are, our equal opportunities employer statement 

Loop is an equal opportunities employer. We invest in diversity, ensure equality and encourage expression. We have a zero-tolerance policy for harassment, bias or discrimination towards applicants and employees. 

Live life at your volume. 🎶  We'll take care of your ears.