This is a fully remote position, open to applicants anywhere in the world.

• Develop, implement, and automate the deployment process for our distributed system that collects and processes log events from various sources.

• Create, implement, and automate the data loading process from diverse sources and APIs.

• Design data schemas and manage internal data warehouses as well as SQL database systems.

• Oversee and resolve operational or data-related issues within the data pipelines.

• Contribute to architectural strategies and execution for future data storage, reporting, and analytical solutions.

• Collaborate effectively with Data Analysts and other internal stakeholders to identify opportunities and challenges.

• Support the team in troubleshooting, researching root causes, and thoroughly addressing defects when issues arise.

• Proven experience in data modeling.

• Proficiency in Airflow, S3, and DBT is essential.

• Familiarity with ETL (or ELT) processes.

• Competence in Python (or Spark) and SQL.

• Experience with Snowflake.

• Knowledge of Kafka, Trino, and Iceberg is an advantage.

• Strong communication skills.

• Quick learning ability and a creative mindset.

• Fully remote position - work from any location you choose.

• Flexible working hours.

• Competitive salary package.

• 28 paid vacation days annually.

• 3 paid sick days per year without the need for a medical certificate.

• Seniority leave.

• Day off for your birthday.

• Genuine career advancement and professional development opportunities.

• A fantastic team working together globally.

Data Engineer

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