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 versátil 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 will give you a bonus to help you to se

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