Head of Data Engineering

Das ist der Job

This position is listed on behalf of a partner company, who manages all applications and next steps.

Darum lohnt es sich

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 lead engineering teams, improve data capabilities, and ensure reliable systems that empower business growth. 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.

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.

Expertise with the Google Cloud Platform (GCP) ecosystem and modern cloud-based data solutions. Excellent communication and collaboration skills, with the ability to work effectively across multiple teams. Benefits: Remote-first work environment with flexibility to work from anywhere in the world.

Opportunity to work with international teams and contribute to products used globally. The final decision and next steps (interviews, assessments) are managed by their internal team. These tools assist our recruitment team but do not replace human judgment. Our partner is looking for a Head of Data Engineering based in Germany.

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 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. 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. 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. Deep knowledge of data architecture, data warehousing, big data technologies, and cloud infrastructure. Strong experience working with relational and NoSQL databases at scale.

Demonstrated ability to design secure, reliable, and high-performance data pipelines. Strong technical leadership skills with the ability to drive engineering excellence and ownership. Advanced degree in Computer Science, Engineering, or a related field is a plus.

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.

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. We appreciate your interest and wish you the best!

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