Data Engineering Manager

Czech Republic Full-time

We’re looking for a visionary Data Engineering Manager to shape our global data strategy, elevate our analytics capabilities, and lead a high‑performing team at the forefront of innovation. If you thrive at the intersection of technology, leadership, and business impact, this role is built for you.

What you can expect

Strategic Ownership: Drive a forward‑thinking data and analytics strategy that empowers the business. Shape architectures, frameworks, and platforms that ensure trust, usability, and adoption across the organization.
Cross‑Functional Influence: Collaborate closely with executive leadership and business units to translate needs into scalable, user‑centric data solutions. Communicate progress and outcomes with clarity and impact.
Technical Leadership: Oversee excellence in data governance, data quality, architecture, and platform optimization. Champion advanced analytics, AI, machine learning, and predictive modeling.
Team Leadership: Build, mentor, and grow a multidisciplinary data engineering team. Foster a culture of innovation, collaboration, and continuous learning.
Operational Excellence: Ensure compliance with data privacy standards, maintain high levels of data security and integrity, and drive continuous improvement across the data lifecycle.

Our expectations

Proven experience leading data engineering or analytics teams.
Strong technical expertise in SQL, Python, PowerBI, data modeling, visualization, and reporting.
Experience with cloud platforms, Data Warehouses, Data Lakes, and ideally Databricks.
Solid understanding of the insurance industry (reinsurance is a plus).
Knowledge of data governance, privacy standards, and predictive analytics.
Excellent communication skills and the ability to translate complex concepts into actionable insights.
A collaborative mindset, strategic thinking, and the ability to bridge business and IT.
Fluent spoken and written English.
A university degree in Data Science, Analytics, Statistics, or a related field.

What we offer

A strategic leadership role with the autonomy to shape the future of data within the organization.
The opportunity to drive innovation through AI, machine learning, and advanced analytics.
A collaborative environment that values creativity, continuous improvement, and high-quality standards.
The chance to build and develop a high-performing, multidisciplinary team.
A culture that supports professional growth, learning, and long-term career development.
The ability to make a meaningful impact on business decisions and customer-centric outcomes.