At Marbill, we´re passionate about empowering businesses to succeed in the competitive world of e-commerce. Our innovative software solutions help merchants manage customers, mitigate risk, streamline payments, and enhance service offerings, ultimately optimizing their financial operations.

Join Marbill Technologies and thrive in a dynamic, global e-commerce environment!

What we offer:

- Flexible working hours – Work when you´re most productive!
- Hybrid positions – Enjoy the best of both worlds, remote & office work.
- Top-notch equipment – Everything you need to excel in your role.
- Private health insurance – Your well-being matters to us.
- Referral bonuses – Get rewarded for bringing great talent on board.
- Comprehensive training – We invest in your growth from day one.
- Competitive salary – Based on your experience, with regular reviews.
- 25 days of annual leave – Recharge and enjoy your time off.
- Lunch & snacks – Keep energized throughout the day.
- Parking available – Convenient and stress-free.\
- Sunshine almost every day – Work in a beautiful, sunny location.

We are an ambitious, fast-moving team that thrives in a dynamic and agile environment. Our professionals, hailing from over 30 countries, are resilient, accountable, and solution-oriented. We make things happen quickly, embracing challenges with fresh ideas and a focus on impactful results. We equip our team with the tools and support they need to succeed, fostering both professional and personal growth.

If you´re looking to boost your career, now is the perfect opportunity! We are currently seeking a Senior Data Engineer to join our dynamic team

What you’ll do:
- Design, develop, and optimize scalable data pipelines to ensure smooth data operations.
- Debug and troubleshoot Airflow tasks for efficient workflow execution.
- Write and maintain high-performance Python code for data engineering tasks.
- Develop and optimize SQL queries for relational databases.
- Manage and maintain cloud-based infrastructure, particularly AWS services.
- Utilize Git for version control and effective collaboration with the team.
- Oversee deployments and work with Jupyter Notebooks for data analysis and documentation.
- Provide technical mentorship to junior team members and contribute to best practices.

What you’ll bring:

- Minimum of 5 years of experience as a Data Engineer.
- Strong proficiency in SQL and relational database management.
- Hands-on experience with AWS services, including S3, Athena, and SageMaker.
- Advanced knowledge of Python for data engineering and automation tasks.
- Familiarity with Airflow for workflow orchestration.
- Comfortable working in a Linux environment and using Linux commands.
- Experience with Agile methodologies and tools like Jira.
- Strong problem-solving skills and ability to work effectively in a team environment.
- Experience optimizing Data Science scripts and deploying them into production environments

Bonus Skills:
- Experience working with data lakes and data warehouses.
- Knowledge of containerization tools like Docker.
- Exposure to infrastructure-as-code tools such as Terraform.
- Experience with distributed computing frameworks (e.g., Spark).
- Familiarity with real-time data processing tools such as Kafka.

Apply now and let’s make an impact together!