Manager, Data Engineering
At a glance
Manager-level Data Engineering role at Gategroup. Madrid · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Shape the enterprise data architecture behind analytics, reporting and machine learning, and guide its ongoing development
- Set engineering standards and reusable methods that support data solutions built to scale and remain maintainable
- Run the Snowflake and Azure environment, improving it while overseeing pipelines that bring data in from enterprise systems
- Lead and develop data engineers, ensuring their data work arrives on time and meets quality expectations
- Align data work with enterprise strategy by partnering with architecture, governance, analytics and business teams
What you bring
- A bachelor’s degree in computer science, information systems or a related area
- Eight to twelve years in data engineering, platform development or similar work, with three to five years leading teams
- Background building and running large-scale data platforms and pipelines
- Advanced capability with Snowflake, cloud data platforms, warehousing technologies and Microsoft Azure
Who this fits
This role suits an experienced data engineering manager who wants to lead a team and guide enterprise data platforms. The position is based in Madrid, Spain.
From the employer
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!
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.