Deutsche Telekom IT Solutions Slovakia

Information Technology And Services

LeadDataEngineer(m/f/d)

€4k+ Košice, Košický kraj, Slovakia; Slovakia FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for entry candidates.

The Brief

“Lead Data Engineer (m/f/d) at Deutsche Telekom IT Solutions Slovakia. Skills: Data Engineering, Team Management, Project Management. Manage data engineering process. Oversee data acquisition”

Industry & Context.

Information Technology And Services
Problems you'll solve

Problem solving skills

What They're Looking For.

Must Have

5 years experience ICT Analysis, 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 or PhD degree technical field, 7 years experience data engineering role, programming skills, Python programming skills, Java programming skills, Scala programming skills

Nice to Have

German language

What You'll Do.

Manage data engineering process

Oversee data acquisition

Oversee data analysis

Design data infrastructure

Build data infrastructure

Maintain data infrastructure

Ensure data reliability

Ensure data accessibility

Mentor data engineers

Set technical direction

Ensure project delivery

Maintain data systems

Lead data engineering team

Manage project roadmap

Collaborate with teams

Understand data needs

Design data pipelines

Implement data pipelines

Ensure pipeline reliability

Ensure pipeline performance

Implement data security

Implement data privacy

Optimize data systems

Stay up-to-date technologies

Evaluate technology impact

Guide junior engineers

Provide development opportunities

How You'll Work.

Team & Collaboration

Cross-functional teams; Data scientists; Data analysts; Software engineers; Business stakeholders

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, 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

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