Lead Data Engineer (m/f/d)

We are hiring to our team: Lead Data Engineer. As a lead Data Engineer, your purpose is to manage and oversee the entire data engineering process, from data acquisition to data analysis. You will be responsible for designing, building, and maintaining the data infrastructure necessary for effective data management and analysis.

You will work closely with data scientists, analysts, and other stakeholders to ensure the accuracy, reliability, and accessibility of data. Your role will also involve mentoring and leading a team of data engineers, setting technical direction, and ensuring the successful delivery of data engineering projects.

WHAT WILL YOU DO?

• Design, build, and maintain scalable and efficient data systems, leveraging big data technologies
• Lead the data engineering team and manage the project roadmap, ensuring projects are delivered on time and within budget.
• Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand and meet their data needs.
• Design and implement data pipelines to ingest, process, and store large and complex data sets, ensuring the reliability and performance of the data systems.
• Implement data security and privacy controls, following industry best practices and company policies.
• Monitor and optimize the performance of data systems, proactively identifying and resolving bottlenecks and issues.
• Stay up-to-date with emerging trends and technologies in the field of data engineering, and evaluate their potential impact on the company.
• Mentor and guide junior data engineers, providing technical and professional development opportunities to help them grow in their careers.

Qualifications

YOU WILL SUCCEED IF YOU:

• Have 5 years experience at ICT Analysis, Architecture & Design
• Have education in information technologies - Master degree
• Have IT Technical Skills:
• Python - expert
• NoSQL/SQL database - expert
• Spark - intermediate
• Hadoop - intermediate
• Clouds (AWS, GPC, Azure) - advanced
• Kafka - advanced
• ETL/ELT - advanced
• Data Warehouse - advanced
• Big Data - advanced
• Have analytical skills, problem solving skills, effective communication, presentation skills, cross functional collaboaration, ability to inovate
• Have other skills: team management, project management, agile methodology
• Speak English - advanced (C1)
• Speak German - advantage
• Have other criteria or requirements:
• A Master's or PhD degree in a technical field, such as computer science, statistics, or mathematics, telecommunications.
• At least 7 years of experience in a data engineering role, with a strong track record of delivering scalable and efficient data systems.
• Strong programming skills, including experience with Python, Java, Scala, or other relevant programming languages.

Additional Information

WHY SHOULD YOU CHOOSE US?

We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life, promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work, career growth, private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas:

• Financial benefits
• Benefits with focus on learning and development
• Benefits with focus on health and sport
• Benefits with focus on family and work – life balance
• Other benefits

For more information about our benefits click to Benefits

Salary

Final salary is negotiable.

We are offering base salary depending on seniority level and previous experience of candidate. In addition to base salary we provide variable part and other financial benefits. Base salary will not be lower than 3500 € /brutto.

Additional information

* Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation.