Reads like a Data Leadership role: running a data team.
Madrid, ESP
Open 5 months, first seen by us 175 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Lead 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
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
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: Bachelor’s degree in Computer Science, Information Systems, or a related field. Master’s degree is a plus. Work Experience:
Open 5 monthsWe first saw this posting 175 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 175
Up longer than most. Similar jobs usually come down between day 7 and day 54.
Well past gategroup Holding’s usual: its jobs come down by about day 22.
From 8,126 similar postings that came down, and 9 of gategroup Holding’s. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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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
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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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
If you want to be part of a team that helps make travel and culinary memories, join us!
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Madrid, ESP
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