OverviewJoin our expert team to work on a Data & Analytics project, contributing to the development of scalable cloud data platforms and modern data pipelines. You will apply your knowledge of AWS, Snowflake, dbt, Apache Airflow, Python and SQL to deliver high‑quality data solutions that support analytics initiatives.ResponsibilitiesYou will be responsible for designing, developing and maintaining scalable ETL and ELT pipelines using AWS services, building reliable workflows with Apache Airflow, optimizing data models in Snowflake and dbt, implementing data quality and monitoring practices, and collaborating with analysts and data teams to deliver trusted datasets for analytics and business intelligence.Qualifications- Strong experience with Python and SQL.- Hands‑on experience with AWS data services, Snowflake, dbt, and Apache Airflow.- Knowledge of data warehousing, data modeling,



and cloud‑based architectures.- Experience working with Git and CI/CD practices.- Experience building and maintaining ETL/ELT pipelines.Benefits- Certification coverage and reward for technical achievements up to €1,500.- Private health insurance.- Full coverage for sick leave.- Free emotional, legal and family support.- Gym discounts or sports compensation.- Flexible remuneration options: meals, transport, childcare, etc.- Referral bonuses up to €6,000 per candidate and €5,000 per client.- 23 working days of vacation.- Free language courses: English, Spanish, Catalan and German.Work ModelHybrid: usually 2 days a week in office, but depends on project and team. Adaptable with key meetings and a 40‑hour work week. Availability for key meetings is required, while time off for personal matters is accepted. Trust is placed in delivering quality work within the standard work week.#J-18808-Ljbffr

📌 Data Engineer - Aws & Snowflake - Pharma Sector (Madrid)
🏢 Tamarind Intelligence
📍 Madrid