About this role
The Data Engineer will be responsible for designing and building Master Data Management functionality that would help enable better Master Data across Gartner. They will maintain the highest data quality standards demanded by Gartner utilizing multiple state‑of‑the‑art technologies in data engineering, data operations and data mastering in a cloud‑based environment. They will also be responsible for managing operational issues behind Gartner’s primary client‑facing websites.
What you’ll do
- Analyze business requirements, design solutions and implement functionality related to MDM.
- Build and maintain Data Pipelines using SQL and AWS technologies like Glue and Python.
- Build and configure web services, pub‑sub queues, Event Driven Architecture components.
- Follow best practices and industry standards while implementing Data Engineering and Mastering functions.
- Engage in day‑to‑day data operations involving troubleshooting of data pipelines, monitoring and maintaining job schedules.

What you’ll need




- Strong IT professional with 3+ years of experience in cloud‑based data engineering preferably in AWS ETL. The candidate should have strong analytical and problem‑solving skills.
- Bachelor’s degree or foreign equivalent degree in Computer Science or a related field required.
- 3+ years of experience in cloud based (AWS preferred) data engineering.
- Experience with AWS Services: Glue, Lambda, SNS, SQS, EventBridge, and Step Functions.
- Expert level coding skills in Node.js and Python/PySpark.
- Very good Postgres SQL and data analytics skills – ability to look at complex stored procedures, troubleshoot performance issues.
- Understanding of Terraform and Deployment pipelines.
- Attitude and aptitude to learn, collaborate and work towards common goals of the MDM team. Must be a team player.
- Experience working with CI/CD tools and technologies (git, Jenkins, Cloudbees).
- Good understanding of Data Engineering fundamentals and domains.
- Experienc

📌 Data Engineer (España)
🏢 Gartner
📍 España