Lead the design and development of scalable data pipelines using Python and Apache Spark.
Architect and deliver modern data platforms on Microsoft Azure and Microsoft Fabric.
Own end-to-end data engineering delivery, ensuring quality, performance, and reliability.
Provide technical leadership, mentoring teams and driving engineering best practices.
Collaborate with stakeholders to translate business needs into effective data solutions.
Ensure data governance, security, and compliance across all platforms.
Proactively identify improvements, risks, and opportunities, driving continuous optimisation.

Extensive hands-on experience with Python and Apache Spark in data engineering environments.
Strong experience building solutions on Azure (e.g., Data Factory, Synapse, Data Lake).
Practical experience with Microsoft Fabric and modern cloud data architectures.
Proven leadership skills with experience guiding and developing engineering teams.
Highly adaptable, thriving in fast-paced, evolving environments
Strong proactivity and ownership mindset, driving initiatives independently.
Excellent stakeholder management and communication skills.

Work within a dynamic international team of experts
Excellent opportunity for personal and professional development
Flexible work model and the freedom to choose the tools that suit you best
Mac or Windows
Ability to work with modern technologies
Extensive catalogue of educational programs, the possibility of training and certification at the expense of the company
Health and life insurance
Meal allowance
Internet allowance
23 vacation days yearly
Birthday gift

Lead Data Engineer

Key skills