Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 3.954 € gross/month
- Location
- Vienna
- Working Model
- Onsite
Job Summary
In this role, you will develop scalable data platforms and integrate various data sources while using modern technologies such as Snowflake and Databricks to create powerful data solutions.
Job Technologies
Your role in the team
- Consulting and support of our clients throughout the entire project lifecycle, from requirements analysis and conception to implementation and optimization of modern data solutions.
- Design, development, and implementation of scalable data platforms, data architectures, and data pipelines.
- Deployment of leading technologies such as Snowflake, Databricks, or Microsoft Fabric to realize innovative and high-performance data solutions.
- Development of cloud-based data platforms and integration of various data sources into modern data ecosystems.
- Ensuring data quality, performance, and scalability in complex data landscapes.
- Participation in technical studies, professional contributions, proposal processes, and presales activities.
- Development of prototypes in sandbox environments.
This text has been machine translated. Show original
Our expectations of you
Education
- Completed degree with a focus on (Business) Informatics, Data Science, Statistics, Economics, or a comparable qualification.
Qualifications
- Expertise in the development of Data Pipelines (ETL/ELT), data modeling, and building scalable data architectures.
- Analytical, self-reliant, and solution-oriented working style as well as enjoyment in collaborating with clients.
- Very good knowledge of German and English.
Experience
- Professional experience in Data Engineering, Data Platforms, or Analytics Engineering, ideally in consulting or a data-driven environment.
- Experience with modern data platforms such as Snowflake, Databricks, or Microsoft Fabric, as well as ideally with cloud technologies (Azure, AWS, or GCP).
- Experience with data integration, data quality, and ideally data orchestration and streaming technologies (e.g., Kafka, Confluent, Airflow, or Camunda).
This text has been machine translated. Show original
What we offer
- Professional diversity, high degree of autonomy, and a culture of collaboration.
- Individual and proactive career development supported by comprehensive training programs.
- Inspiring projects at the intersection of consulting and IT across various industries worldwide.
- Free psychological counseling via Instahelp, meal vouchers, and a subsidy for the job ticket.
- Flexible working hours and numerous additional benefits.
- Equal and inclusive culture - we are committed to a diverse and inclusive work environment where everyone feels a sense of belonging and can thrive in a community-oriented workplace.
- At our company, you have the opportunity to actively influence your salary based on your individual performance.
- The minimum salary for this position is EUR 3,954 gross per month.
- We are happy to offer a higher salary depending on qualifications and experience.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
BearingPoint GmbH
At BearingPoint, we believe that successful management and technology consulting is built on three strategic pillars: Consulting, Solutions, and Ventures. We work with our clients to identify paths to success that are sustainable and have a lasting impact.
Description
- Company Size
- 250+ Employees
- Company Type
- Digital Agency
- Working Model
- Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(3 Reviews)3.7
Culture
3.8Workingconditions
3.9Career Growth
3.8Engineering
3.4
Data Engineer
- Salary
- from 3.954 € gross/monthEstimated net salary based on the gross salary in the job ad.from 2.702 € net/month
- Location
- Vienna
- Working Model
- Onsite
- Diversity
- Open for all genders
