Lead Data Engineer (m/f/d)
At a glance
Senior Data Engineering role at Deutsche Telekom IT Solutions Slovakia. Remote, Slovakia · full-time.
Pay not stated Lead Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain scalable data infrastructure and pipelines for ingesting, processing and storing large, complex datasets
- Set the engineering roadmap, lead the team and keep data projects on schedule and within budget
- Work with data scientists, software engineers and business stakeholders to shape data systems around their needs
- Protect data with security and privacy controls, then monitor system performance and resolve bottlenecks
- Coach junior engineers and assess emerging data technologies for their potential impact
What you bring
- At least five years in ICT analysis, architecture or design, plus a master’s degree in information technology
- Seven or more years in data engineering, with evidence of delivering scalable, efficient systems
- Advanced English, at C1 level, and expert Python and SQL or NoSQL skills
- Advanced capability with cloud platforms, Kafka, ETL or ELT, data warehousing and big data, plus intermediate Spark and Hadoop
Who this fits
This senior lead role suits an experienced data engineer ready to direct a team, set technical direction and mentor junior colleagues. Remote work is available only from within Slovakia. German is an advantage.
From the employer
Our brand Deutsche Telekom IT Solutions Slovakia entered the life of Košice region in 2006 under the name of T-Systems Slovakia and ever since has been inextricably linked with the region when became one of the founding members of Košice IT Valley. We have managed to grow from scratch to the second largest employer in the eastern part of the country with more than 3900 employees. Our goal is to proactively find new ways to improve and continuously transform into the type of company providing innovative information and communication technology services.
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.
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.
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.