Head of Data Engineering

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of Data Engineering based in Austria.

This role offers the opportunity to lead the evolution of a global-scale data ecosystem within a fast-growing technology environment.

You will define the architecture, engineering standards, and strategic direction that power business intelligence and data-driven decisions.

As a technical leader, you will build scalable platforms, strengthen data reliability, and enable advanced analytics and machine learning capabilities.

You will collaborate with cross-functional teams to transform complex business needs into impactful technical solutions.

The role combines hands-on technical expertise, team leadership, and long-term vision to shape the future of data infrastructure.

You will have the autonomy to influence technology choices and establish best practices in a remote-first culture.

Accountabilities

As the Head of Data Engineering, you will own the strategy, architecture, and execution of a scalable data environment that supports global operations and innovation. You will lead engineering teams, improve data capabilities, and ensure reliable systems that empower business growth.

• Design, develop, and continuously improve a scalable data architecture capable of supporting rapid global expansion.
• Define engineering standards for data pipelines, including CI/CD practices, automation, version control, and operational excellence.
• Ensure data reliability, security, governance, and performance across platforms supporting analytics and machine learning initiatives.
• Lead strategic technology decisions, including the selection and adoption of cloud platforms, tools, and data engineering solutions.
• Build and mentor high-performing data engineering teams, fostering technical ownership, collaboration, and continuous improvement.
• Guide the development of efficient ETL/ELT solutions and modern data workflows.
• Partner with business, product, analytics, and technical stakeholders to translate complex requirements into scalable solutions.
• Establish processes that improve data quality, accessibility, and the overall effectiveness of the data organization.
  
  

Requirements

The ideal candidate is a strategic and hands-on data engineering leader with extensive experience building scalable data platforms and managing high-performing engineering teams.

• Proven experience leading data engineering functions within a high-growth, scale-up, or technology-driven environment.
• 3+ years of experience managing and developing engineering teams, with a strong ability to mentor and inspire technical talent.
• 5+ years of hands-on experience with programming languages such as Python, Java, or Scala for building complex data systems.
• Deep knowledge of data architecture, data warehousing, big data technologies, and cloud infrastructure.
• Strong experience working with relational and NoSQL databases at scale.
• Expertise with the Google Cloud Platform (GCP) ecosystem and modern cloud-based data solutions.
• Demonstrated ability to design secure, reliable, and high-performance data pipelines.
• Strong technical leadership skills with the ability to drive engineering excellence and ownership.
• Excellent communication and collaboration skills, with the ability to work effectively across multiple teams.
• Advanced degree in Computer Science, Engineering, or a related field is a plus.
  
  

Benefits

• Remote-first work environment with flexibility to work from anywhere in the world.
• Opportunity to shape the technical strategy and data infrastructure of a global technology organization.
• Work-life balance culture designed to support sustainable performance and innovation.
• High-impact leadership role with ownership over critical data systems and engineering practices.
• Opportunity to work with international teams and contribute to products used globally.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.