Deutsche Telekom IT Solutions Slovakia
Information and communication technology
LeadDataEngineer
Neural analysis suggests this role is
optimal for entry candidates.
“Lead Data Engineer at Deutsche Telekom IT Solutions Slovakia. Skills: Data Engineering, Team Management, Cloud Platforms. Manage data engineering process. Design data infrastructure”
What You'll Achieve.
Ensure successful delivery of data engineering projects; Improve company's innovative services
Industry & Context.
Problem solving skills; Identify and resolve bottlenecks
Remote working possibility only available within Slovakia
What They're Looking For.
Must Have
5 years experience at ICT Analysis, Architecture & Design, Master degree in information technologies, 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, analytical skills, problem solving skills, effective communication, presentation skills, cross functional collaboration, ability to innovate, team management, project management, agile methodology, English - advanced (C1), Master's or PhD degree in a technical field, 7 years of experience in a data engineering role, programming skills, Python, Java, Scala
Nice to Have
German - advantage
What You'll Do.
Manage data engineering process
Design data infrastructure
Build data infrastructure
Maintain data infrastructure
Ensure data reliability
Ensure data accessibility
Design scalable data systems
Build scalable data systems
Maintain scalable data systems
Lead data engineering team
Manage project roadmap
Design data pipelines
Implement data pipelines
Store large data sets
Store complex data sets
Implement data security
Implement data privacy
Monitor data systems performance
Optimize data systems performance
Stay up-to-date with trends
Evaluate new technologies
Mentor junior engineers
How You'll Work.
Team & Collaboration
Collaborate with data scientists; Collaborate with analysts; Collaborate with software engineers; Collaborate with business stakeholders; Collaborate with cross-functional teams
Communication Scope
Effective communication; Presentation skills
Process & Methodology
Project management, Agile methodology
Full Job Description
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, the purpose of this role is to manage and oversee the entire data engineering process, from data acquisition to data analysis. The position is responsible for designing, building, and maintaining the data infrastructure necessary for effective data management and analysis. The role involves working closely with data scientists, analysts, and other stakeholders to ensure the accuracy, reliability, and accessibility of data. It also includes 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.
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