Are you a Data Engineer seeking a new interesting challenge? ?
If your answer is yes, it’s your lucky day so keep reading, it can be just what you're looking for ?

✍️WHAT WILL YOU DO?
We are looking for a dynamic, proactive and talented person to join our team and perform the following tasks:
- Design, build, and maintain scalable, automated data pipelines using Python and SQL to integrate diverse internal and external data sources into the Snowflake Data Cloud.
- Model, transform, and structure complex datasets to optimize data accessibility, performance, and storage efficiency.
- Develop and maintain robust API integrations and connectors to ensure seamless data flow across enterprise systems.
- Implement testing, monitoring, and validation frameworks to guarantee high data integrity, reliability, and accuracy across all pipelines.
- Monitor, troubleshoot, and optimize data pipeline performance and Snowflake resources while enforcing robust security and access controls.

? WHAT TECHNOLOGIES WILL YOU USE?
- Python
- SQL
- Apache Spark
- Apache Kafka
- Snowflake




- Databricks
- Airflow

? WHAT ARE WE LOOKING FOR?
- Minimum 3 years of experience as a Data Engineer or in similar roles, designing, building, and maintaining scalable data pipelines and ETL/ELT solutions.
- Hands-on experience with Python, SQL, Snowflake, and cloud-based data platforms, with a strong focus on data modeling, integration, quality, and performance optimization.
- English: Professional working proficiency.

? WHERE AND WHEN?
- Workplace: TCS Madrid
- Work Schedule: Business Hours

? WHAT CAN WE OFFER YOU?
- Permanent contract ? - We offer indefinite contracts from the first day.
- Pay and benefits ? - Competitive salary and a adaptable compensation plan adapted to your needs (Ticket restaurant plan, Childcare Ticket, Transport Ticket and Health Insurance).
- Work from home ?️ - We offer you a financial support every month for your working from home expenses. In addition, in the first month we

📌 Data Engineer (Madrid)
🏢 Tata Consultancy Services
📍 Madrid