Lead Data Engineer (AI & Cloud Solutions) (All Genders)

Your Key Responsibilities

• Being a primary point of contact for data and system access discussions with high-level stakeholders (e.g., department heads, system owners, security teams)

• Identifying, addressing, and eliminating roadblocks that may impede data-related projects, ensuring timely delivery and alignment with business goals

• Guiding, mentoring and supporting other data engineers, establishing best practices and ensuring effective teamwork

• Overseeing data quality, integrity, and security throughout all stages of the data lifecycle

• Collaborating between engineering teams and business units, translating business needs into technical solutions

• Building and maintaining scalable and reliable cloud infrastructure

• Ensuring operable and secure cloud-based solution architecture for custom-developed, open-source, and off-the-shelf applications

• Establishing and maintaining of monitoring and alerting systems to proactively identify and resolve performance issues

• Taking on the technical responsibility of applications throughout the life cycle as part of a DevOps team

• Collaborating on improving the automation level of our operations towards self-service

• Building and maintaining disaster recovery and business continuity plans for mission-critical applications and infrastructure

• Ensuring compliance with security policies and standards, working with security and compliance teams as necessary

• Staying abreast of industry trends, emerging technologies, and regulatory requirements, advising the Admin AI Factory on strategic data initiatives

Your Qualifications

• Completed studies in one of the following fields: Computer Science, AI, Data Science, Software Engineering, or related field, or comparable qualifications with corresponding practical experience

• Minimum 8 years of experience in Software Engineering, including at least 5 years focused on backend development with Python in production environments

• Fluency in both English and Polish, with a minimum of B2 level proficiency

• Knowledge of German is a plus 

• Proven track record in architecting, scaling, and maintaining complex data systems and pipelines

• Experience in leading data engineering projects and mentoring teams

• Proficiency in programming languages such as Python, SQL or Java

• Hands-on experience with AI technology, e. g. AI Agents, RAG, MCP, with quality assurance of AI systems

• Proven experience working with managed cloud services (AWS or Azure), including AI services, storage and databases

• Knowledge of data integration, APIs, and workflow automation tools

• Understanding of data modeling, data governance, and best practices in data security

• In-depth knowledge of data modeling, data governance, and security best practices

• Strong leadership, mentoring, and project management skills

• Ability to communicate effectively with both technical and non-technical stakeholders, including senior leadership

• Problem-solving mindset with the ability to remove roadblocks and drive project progress

Our Offer

•  Be a part of a global company & international team with a diverse variety of backgrounds, skills and views.  

• As part of our IT team, you will actively shape the technology and solutions used by Schaeffler.

• Grow with us! Get access to training platforms, internal & external trainings, supporting experts and the real-life challenges, where you will put all your skills in practice. 

• We work in a hybrid working model (or a fully remote in a special cases) with flexible working hours. Our modern office is located in the center of Wroclaw.  

• We offer attractive benefits package, such as medical and dental care, sports card, life insurance for you and your family. We are also providing access to our Mental Comfort Program.   

• Our Cafeteria Platform allows you to choose from various benefit options with points added monthly to your account. Haven’t found what you are looking for? Our concierge will be happy to help!

• Join our CSR activities, such as tree planting, riverside cleanup, or participate in other charity events. 

• Spend some time with your work colleagues during integrational events such as mountain trekking, city games and workshops. You can join also one of our many Passion Clubs like Foodies, Sports Team and Language Clubs as well!