Senior Data Engineer (Big Data)

Company 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.

Job Description

Purpose

The senior data engineer develops, constructs, tests and maintains architectures, such as databases and large-scale processing systems, and ensures that architecture fully supports requirements of the business. Plays a collaborative role where he/she works closely with the business’s Data and Analytics teams, gathering technical requirements for exceptional data governance.

Key accountabilities

As a Senior Software Engineer in the field of Data & Analytics, you will develop complex software solutions for the IT landscape of tomorrow's telecommunications in agile teams. You will take over the further development of software for complex products and services along the entire development process (lifecycle). We use the following technologies: Cloudera, Kafka, NiFi, Flink, Spark, Informatica, Unix/Linux, Java, REST, SOAP, PL SQL, DB2 (Unix), Perl, Scala, Python.
Together as a team, you will implement customer requirements, develop prioritized user stories and ensure the quality of your solutions
1.    As an experienced Big Data Software Engineer, you will give guidance to less experienced colleagues, keep an eye on the big picture and thus ensure the implementation of the vision with the team
2.    You will program, take over the installation and configuration of the software as well as the creation and maintenance of the software documentation
3.    You will design and define system tests and test automation and support team members during error analysis up to error elimination
4.    You will also take over the technical last level support for other teams for the supervised systems and service

Team Description
As a Senior Data Engineer in the field of data analytics, data engineering technologies and the development of data analytics solutions are your passion. You feel at home when it comes to developing data pipelines, implementing microservices, and building databases/data lakes. You quickly understand complex data analytics architectures and are eager to contribute your experience in modern data analytics technologies and cloud technologies (AWS, Snowflake) to transform DT into a data-driven company. Then we, the Chapter Software Engineer Data & Analytics of Deutsche Telekom IT, are exactly the right workplace for you.

Qualifications

You have a university degree or a comparable qualification and already have several years of professional experience in the field of big data. Furthermore, you are characterized by the following knowledge and skills:
 
•    Expertise in technology and methodologies: streaming processing, ideally with Cloudera, and hands-on experience with Kafka, NiFi, and REST
•    Expert knowledge in relevant description languages and (object-oriented) programming languages, Java, Python, Perl
•    Knowledge and experience in the classic BI/DWH environment: SQL, DB2 (Unix) as well as with data integration tools such as Informatica
•    Knowledge in hardware sizing and in the solution of security requirements as well as software engineering know-how in agile methods in design, architecture, development, testing
•    Practical experience in the use of appropriate tools for development change management and configuration management, GIT, JIRA
•    Intercultural experience in offshore projects
•    Experience in agile methods Scrum and SAFE

Languages

• English - advanced (C1)
• German - advantage

Additional Information

Benefits

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 2000 € /brutto.