Job
- Level
- Experienced
- Job Field
- Data, Database
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 76.020 € Gross/Year
- Location
- Vienna
- Working Model
- Onsite
AI Summary
In this role, you will develop efficient data pipelines, transform raw data into usable insights, and ensure data quality and availability for strategic decision-making.
Job Technologies
Your role in the team
- As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers.
- Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips.
- Crafting and shaping data platforms that power our organization's success.
- Transforming raw data into actionable insights that drive strategic decisions and innovation.
- Engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets.
- Using a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess to mastermind data transformation.
- Understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle.
- Delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence.
- Architecting data pipelines, using expertise to cleanse, normalize, and transform raw data into the final dataset.
- Scrutinizing data solutions, ensuring they align with business and technical requirements.
- Ensuring data-driven decisions are made and lifecycle management expertise keeps data fresh and impactful.
This text has been machine translated. Show original
Our expectations of you
Education
- Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology.
Qualifications
- Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail.
- Must be able to communicate with both technical and non-technical colleagues to derive technical requirements from business needs and problems.
- Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization.
- Cloud platform certification, e.g., AWS Certified Data Analytics - Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate.
- Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio.
- Fluent in English and German.
- EU citizenship and a C1 level proficiency in German are essential for this role.
Experience
- Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc.
- Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB.
- Experience working as a Data Engineer and/or in cloud modernization.
- Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes.
This text has been machine translated. Show original
Job Locations
Location Vienna
Austria
Topics that you deal with on the job
This is your employer
Kyndryl Austria
We are committed to improving business-critical IT systems at the heart of digital transformation. Together with our partners and thousands of customers, we develop solutions that help businesses achieve digital excellence.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Internet, IT, Telecommunication
Data Engineer
- Salary
- from 76.020 € Gross/Year
- Location
- Vienna
- Working Model
- Onsite
