.Merlin Digital Partner: Your Strategic Talent Partner in the Digital EcosystemAt Merlin, we are a leading talent acquisition consultancy with over 20 years of experience in the digital world. We proudly support startups, scaleups, and corporates in more than 10 countries, helping them find the talent they need to thrive across 15+ areas of specialization.What sets us apart? Our strategic analysis of each company, combined with a powerful network of professionals. We dive deep into understanding your business, enabling organizational transformation that aligns with your goals and maximizes growth.Currently, we are seeking a Sr. Data Engineer to join the team of our partner.About Our Client: A Spanish scaleup in full expansion with headquarters in Barcelona and international presence. They utilize AI, predictive models, and advanced technologies to empower their clients.The Mission:Develop and lead an implementation strategy based on artificial intelligence, designing a roadmap that guides the integration and optimization of AI solutions within the organization's data infrastructure.The Role:Develop, test, and maintain robust ETL/ELT processes for ingesting and transforming large volumes of structured and unstructured data from various sources.Design and implement scalable data models and storage solutions to support analytics, machine learning, and business intelligence initiatives.Integrate various external and internal data sources into centralized data platforms and automate repetitive tasks to improve efficiency.Implement and maintain best practices in data governance, ensuring high quality, security, and compliance with industry standards (GDPR, HIPAA, etc.).Collaborate closely with data scientists, analysts, and business stakeholders to understand their data needs and ensure timely delivery of accurate and relevant data.Continuously monitor the performance of the data infrastructure, identifying bottlenecks and optimizing systems to improve speed, concurrency efficiency, query performance, and storage efficiency.Work closely with the data science team to implement data analysis pipelines.What We Need:Experience in designing and building large-scale data systems, with experience in ETL/ELT, data modeling, and data storage.Strong programming skills in Python and advanced knowledge of SQL for data manipulation and analysis.Hands-on experience with cloud platforms like AWS, Google Cloud, or Azure, including services like AWS Redshift, BigQuery, or Azure Data Lake.Experience with big data technologies such as Hadoop, Spark, Kafka, or other distributed computing frameworks.Knowledge of SQL and NoSQL databases (e.G., PostgreSQL, MySQL, MongoDB, Cassandra) and experience in data modeling for optimal performance.Proficiency with data pipeline and orchestration tools like Airflow, Prefect, or Luigi.Solid understanding of data storage solutions, including data lakes and data warehouses