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ManagerFull-timeTypeScriptPythonReactAWSAI
Salary Range
$122,400 - $165,600 /year
This salary is estimated based on similar roles. The actual salary may vary.
Key Responsibilities
- →Manage and support a team of 6 Data Engineers distributed across Europe, helping them focus on the most impactful technical initiatives as the platform scales.
- →Drive execution excellence, ensuring the team delivers with high velocity, quality, and reliability, while maintaining strong cross-functional alignment.
- →Lead efforts to reduce operational incidents and improve pipeline reliability, helping the team move away from reactive firefighting toward proactive engineering.
- →Foster a healthy and sustainable team environment by helping the team manage workload, reduce burnout, and focus on meaningful engineering work.
- →Help position Data Engineering as a center of excellence for data, promoting best practices around data ownership, data platforms, and data-driven decision making across teams.
- →Contribute in code reviews and establish processes that keep pushing the bar on engineering excellence.
- →Identify and address bottlenecks, inefficiencies, or misalignments, always looking for ways to raise the bar.
Requirements
- ✓Experience leading and scaling high-performing engineering teams in multiple organizations.
- ✓Experience working with data platforms, data pipelines, or data infrastructure, and understanding concepts such as data lakes, data warehousing, and large-scale data processing.
- ✓Background as a Data Engineer or Backend Engineer working with data systems, with experience in technologies such as Python, TypeScript and cloud-native infrastructure (ideally AWS).
- ✓Experience operating in environments with high data volume, complex orchestration, rapidly evolving systems, and strong reliability requirements.
- ✓Strong understanding of organizational architecture, domain driven design, and their impact on data flow modelling.
- ✓Lead with humility, clarity, and high standards.
- ✓Previous experience in a startup environment and thrive in fast-moving, ambiguous situations.
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