Job
- Level
- Erfahren
- Job Feld
- Data, Database
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 76.020 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Onsite
KI Zusammenfassung
In dieser Rolle entwickelst du effiziente Datenpipelines, transformierst Rohdaten in nutzbare Informationen und gewährleistest die Qualität und Verfügbarkeit von Daten für strategische Entscheidungen.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Ausbildung
- Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology.
Qualifikationen
- 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 English and German.
- EU citizenship and a C1 level proficiency in German are essential for this role.
Erfahrung
- 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.
Job Standorte
Standort Wien
Österreich
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
Kyndryl Austria
Wir engagieren uns für die kontinuierliche Verbesserung der geschäftskritischen IT-Systeme im Herzen der digitalen Transformation. Gemeinsam mit unseren Partnern und tausenden von Kunden entwickeln wir Lösungen, die Unternehmen dabei unterstützen, digitale Spitzenleistungen zu erreichen.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Onsite
- Branche
- Internet, IT, Telekom
Data Engineer
- Gehalt
- ab 76.020 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Onsite
