Manager, Data Engineering
Reads like a Data Leadership role: running a data team.
Madrid, ESP
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingLead design and evolution of the enterprise data platform architecture
Develop and operate ELT/ETL pipelines ingesting data from multiple enterprise systems
Manage and mentor a team of data engineers
Establish and enforce data engineering standards and best practices
Ensure pipeline reliability, performance, and data quality
From the employer’s posting
Lead the design and evolution of the enterprise data platform architecture
Lead the development and operation of ELT/ETL pipelines that ingest and transform data from multiple enterprise systems
Manage and mentor a team of data engineers, ensuring timely delivery of high-quality data solutions
Establish and enforce data engineering standards, best practices, and development frameworks
Ensure the reliability, performance, and data quality of pipelines supporting enterprise analytics workloads
What you’ll bring
All qualificationsCore experience
- 8–12 years in data engineering or data platform roles
- 3–5 years managing or leading data engineering teams
- Expertise in Snowflake and cloud data warehousing
- Expertise in Microsoft Azure services
- Bachelor's degree in Computer Science, Information Systems, or a related field
Preferred experience
- Master’s degree is a plus.
Qualification wording
8–12 years of experience in data engineering, data platform development, or related roles
3–5 years of experience managing or leading data engineering teams
Expertise in cloud data platforms and data warehousing technologies, particularly Snowflake
Expertise in Microsoft Azure services
Bachelor’s degree in Computer Science, Information Systems, or a related field
Bachelor’s degree in Computer Science, Information Systems, or a related field. Master’s degree is a plus.
Education & alternatives
Education: Bachelor’s degree in Computer Science, Information Systems, or a related field. Master’s degree is a plus. Work Experience:
Tools in this posting
- Azure
- Snowflake
Source — Tool mentions in context
The Manager, Data Engineering leads the development and operation of scalable data platforms that support enterprise analytics including reporting, and machine learning initiatives. The manager leads a team of data engineers in building and maintaining reliable data pipelines in a modern cloud data environment to deliver high-quality, trusted data across the organization. The manager partners with analytics, data governance, and business stakeholders to ensure data solutions are in alignment with enterprise data strategy. Platform Leadership: • Lead the design and evolution of the enterprise data platform architecture supporting analytics, reporting, and machine learning initiatives. • Establish and enforce data engineering standards, best practices, and development frameworks to ensure scalable and maintainable data solutions. • Oversee the cloud data environment built on Snowflake and Microsoft Azure and drive continuous improvement. Data Engineering Delivery: • Lead the development and operation of ELT/ETL pipelines that ingest and transform data from multiple enterprise systems. • Manage and mentor a team of data engineers, ensuring timely delivery of high-quality data solutions. • Ensure the reliability, performance, and data quality of pipelines supporting enterprise analytics workloads
Skills: • Expertise in cloud data platforms and data warehousing technologies, particularly Snowflake. • Expertise in Microsoft Azure services • Leadership and Collaboration
Posting record
Report an errorOpen 5 monthsWe first saw this listing 161 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 14, 2026 · 161 days ago
- Recorded sightings
- 290
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
We’re looking for motivated, engaged people to help make everyone’s journeys better.
The Manager, Data Engineering leads the development and operation of scalable data platforms that support enterprise analytics including reporting, and machine learning initiatives. The manager leads a team of data engineers in building and maintaining reliable data pipelines in a modern cloud data environment to deliver high-quality, trusted data across the organization. The manager partners with analytics, data governance, and business stakeholders to ensure data solutions are in alignment with enterprise data strategy.
Platform Leadership:
• Lead the design and evolution of the enterprise data platform architecture supporting analytics, reporting, and machine learning initiatives.
• Establish and enforce data engineering standards, best practices, and development frameworks to ensure scalable and maintainable data solutions.
• Oversee the cloud data environment built on Snowflake and Microsoft Azure and drive continuous improvement.
Data Engineering Delivery:
• Lead the development and operation of ELT/ETL pipelines that ingest and transform data from multiple enterprise systems.
• Manage and mentor a team of data engineers, ensuring timely delivery of high-quality data solutions.
• Ensure the reliability, performance, and data quality of pipelines supporting enterprise analytics workloads
Collaboration and Governance:
• Contribute to the execution of the enterprise data and analytics strategy.
• Collaborate with enterprise architecture, IT, and data governance teams to align with security, governance, and compliance standards.
• Partner with data science, analytics, and business teams to enable advanced analytics and data-driven decision making.
Education:
Bachelor’s degree in Computer Science, Information Systems, or a related field.
Master’s degree is a plus.
Work Experience:
• 8–12 years of experience in data engineering, data platform development, or related roles.
• 3–5 years of experience managing or leading data engineering teams.
• Experience designing and operating enterprise-scale data platforms and pipelines.
• Experience working in large or global enterprise environments is preferred.
Skills:
• Expertise in cloud data platforms and data warehousing technologies, particularly Snowflake.
• Expertise in Microsoft Azure services
• Leadership and Collaboration
Strategic and Analytical Thinking Communication and Execution
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Source details
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- Pay
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- Location & working pattern
Madrid, ESP
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