Data Engineer Medior

cross-functional data team. What you'll do Design, implement, and maintain data pipelines for ingesting, processing, and transforming data from multiple sources Build and optimise ETL/ELT workflows to ensure data availability, reliability, and freshness Clean, transform, and enrich raw data into usable formats for analytics and reporting Create and maintain data models, schemas, and data structures aligned with business needs Work with data warehousing and data integration processes Implement data quality standards and procedures to ensure data accuracy and consistency Monitor, troubleshoot, and resolve data quality and pipeline issues Contribute to data governance practices and documentation Support data security, access control, and compliance best practices Maintain clear documentation of data processes, pipelines, and data dictionaries Collaborate with Data Scientists, Analysts, and business stakeholders to understand requirements and deliver data

solutions Participate in a cross-functional data environment with exposure to analytics and data science initiatives Must Have 2-5 years of experience in Data Engineering or related roles Strong hands-on experience with Python Strong proficiency with SQL Experience designing and maintaining data pipelines Good understanding of ETL/ELT processes and data integration Experience with data warehousing concepts Experience with data modelling Knowledge of data quality and data governance practices Experience with cloud-based data environments, ideally AWS Experience or exposure to tools such as Snowflake, dbt, Airflow, GitHub, Redshift, or similar Ability to write clean, maintainable, and well-documented code Strong problem-solving skills and attention to detail Good communication and teamwork skills Ability to work collaboratively in a cross-functional data team Fluent Spanish and English Nice to Have Experience with AWS-native data services Hands-on experience with Snowflake Experience with dbt for data transformation and modelling Experience with Apache Airflow or similar orchestration tools Experience with Amazon Redshift Experience with other cloud platforms such as Azure or GCP Familiarity with data security, privacy, access controls, or encryption practices Hybrid model - 2 days onsite per week Why join this project? People first - diverse and inclusive culture in an international environment Join a growing data team with multiple open positions ️ Work on real Data Engineering challenges involving pipelines, modelling, quality, and integration Contribute to data solutions that support analytics, reporting, and business decision-making ️ Gain exposure to a modern data stack including cloud platforms, Snowflake, dbt, Airflow, and AWS Collaborate with Data Scientists, Analysts, and business stakeholders Strong opportunity to grow as a hands-on Data Engineer without needing to move into management High team stability and collaborative culture €1200 per year training budget and continuous learning opportunities Flexible compensation model Private health insurance and benefits package Flexible working hours and hybrid model ️ Wellhub: fitness, wellne