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• Sr Data Engineer

• Indefinite
• Full time
• Hybrid (Madrid, Spain)

About Copado

Copado is the #1 DevOps Platform for Salesforce and the Cloud. We harness the power of native CI/CD and Robotic Testing to drive digital transformation for 1,000+ of the most innovative brands on the planet — from Coca-Cola to eBay to Volkswagen. Our low-code platform unites non-technical admins and pro-code developers on the same system and empowers enterprises to scale end-to-end software delivery across multi-cloud environments.

The impact on your business? 20X faster releases, 94% fewer production bugs and 46% more Salesforce ROI. The impact on your team? No more late nights, weekend war rooms or stressful release days.

Brief Summary of Role

We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have strong expertise in Python and PySpark, experience working with CRM or ERP systems for data extraction and transformation, and a deep understanding of data orchestration tools (preferably Dagster). This role requires a solid background in DevOps, experience with Dataframe and SQL abstractions, and a keen ability to build, optimize, and deploy data stack solutions. Experience within the Salesforce ecosystem is a plus.

What You’ll Be Doing

• Design, develop, and maintain scalable data pipelines using PySpark and Python.
• Extract, transform, and load (ETL) data from CRM and ERP systems, ensuring data integrity and quality.
• Implement data orchestration workflows, preferably using Dagster.
• Work with Dataframe and SQL abstractions to manage and process datasets efficiently.
• Optimize ETL performance, troubleshoot issues, and ensure data consistency across platforms.
• Build and deploy end-to-end data solutions, incorporating DevOps best practices.
• Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to define data requirements and implement solutions.
• Ensure data security and compliance with industry standards and regulations.
• Automate monitoring, testing, and deployment processes to improve data pipeline reliability and efficiency.
• Stay updated with the latest big data technologies, frameworks, and best practices.

We Are Looking for Someone With

• 5+ years of Python development experience.
• 3+ years of experience working with the PySpark API framework.
• Hands-on experience extracting and transforming data from CRM or ERP systems.
• Strong expertise in Dagster or similar orchestration tools.
• Proficiency in working with Dataframe and SQL abstractions.
• Extensive DevOps experience, from building to deploying data stack solutions.
• Knowledge of data modeling, data warehousing, and ETL best practices.
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, or Azure).
• Experience with Git-based workflows, version control, and infrastructure-as-code (IaC) tools.

Nice to Have

• Experience working within the Salesforce ecosystem.
• Familiarity with streaming technologies such as Kafka or Spark Streaming.
• Hands-on experience with NoSQL databases / Vector DBs (MongoDB, Cassandra, U-Search, FAISS, LanceDB.).
• Experience in real-time data processing and analytics platforms.
• Knowledge of machine learning workflows and MLOps.

Copado is Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Copado does not accept unsolicited headhunter and agency resumes. Copado will not pay any third-party agency or company that does not have a signed agreement with Copado.

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