Senior Data Engineer

This role sits at the core of a fast-scaling global data ecosystem, focused on building and optimizing high-performance data platforms that power analytics and business decision-making. You will design and maintain modern data pipelines supporting large-scale, distributed systems with a strong emphasis on reliability and scalability. The environment is highly international, remote-first, and collaboration-driven, bringing together diverse engineering and analytics teams. You will play a key role in shaping data architecture practices, including the implementation of Medallion architecture. This position offers the opportunity to work with cutting-edge data stack technologies and contribute directly to data-driven product evolution. Your work will have a tangible impact on improving data quality, accessibility, and business insights across global products. Accountabilities Design, develop, and maintain scalable data pipelines using tools such as Airflow, Airbyte, DBT, and Snowflake Implement and evolve Medallion architecture (bronze, silver, gold layers) to structure enterprise data efficiently Build and optimize ETL/ELT workflows integrating data from multiple sources, including SQL, NoSQL databases, and APIs Improve data modeling practices, ensuring consistency, reliability, and high data quality standards Monitor, troubleshoot, and optimize pipeline performance to ensure robustness and efficiency Collaborate closely with data analysts, product, and business teams to translate data into actionable insights Requirements Strong proficiency in SQL and Python for data engineering and pipeline development Hands‑on experience with DBT, including models, macros, tests, and snapshots Solid knowledge of Snowflake or similar cloud data warehouse solutions Proven experience designing and building scalable data warehouses and data pipelines Strong understanding of data modeling concepts such as star and snowflake schemas Ability to work in cross‑functional, remote, and fast‑paced environments with strong communication skills Benefits Fully remote full‑time opportunity with global flexibility 27 paid working days off per year with full compensation 10 paid sick days per year with partial compensation Provision or reimbursement of technical equipment (laptop, peripherals, etc.) Access to professional and personal development courses upon request (Coursera) 1‑to‑1 language learning sessions available via Preply Referral bonus program up to 5,000 EUR After 3 months: home office setup budget up to 1,000 EUR (renewable every 3 years) Annual wellness budget up to 2,800 EUR for healthcare, fitness, or wellness services #J-18808-Ljbffr Jobgether