Data Engineer & Data Architect
ableneo Slovensko s.r.o.
Vienna, Austria (Job with occasional home office)
full-time, trade licence
Upon agreement
From 30 EUR/hour
Information about the position
Job description, responsibilities and duties
Project is focused on IT services in the field of data engineering and data science and covered at least one of the following service areas:
- Implement a productive data-driven use case in statistics, artificial intelligence or machine learning
- Design and implementation of a data pipeline for the extraction, mixing and preparation of data from production systems
- And using one of the following technology stacks: Python, Datapipeline tools: (Denodo or Airflow), Explicit listing of libraries, packages, modules
Requirements for the employee
Candidates with education suit the position
University education (Master's degree)
Postgraduate (Doctorate)
Language skills
Personality requirements and skills
Data Engineer:
- University degree in the field of information technology or relevant professional experience lasting at least five years of professional experience
- Have a good command of the German language, both written and spoken
- At least three years of professional experience in the field of designing and implementing data pipelines or database structures
- In-depth know-how in the following areas: Data structures, transformations and metadata, Python, Working with databases and creating SQL queries, Denodo or Airflow
Data Architect:
- University degree in the field of information technology or relevant professional experience lasting at least three years
- Have a good knowledge of the German language, both written and spoken
- At least five years of professional experience in the field of data architecture, data management or enterprise architecture or software architecture, of which at least three years in the field of data architecture or data management.
- Experience with: Modern enterprise data architecture and its technology, Stack (e.g. data virtualization, event streaming, big data), data modeling and data modeling techniques, Data architecture decisions based on data governance principles and guidelines
Advertiser
Brief description of the company
We do believe, that innovation is not only question of creativity, but it is the adoption process and focus on business value, what makes the change a successful story at the end. That’s why ableneo is combining engineering, transformation and business competence in order to have a new, holistic approach on organisational change.
Enabling people, adapting process, implementing technology
We see innovation as a complex process, connected most of times with an emerging technology, but also requiring always an adaptation or change of company processes and mostly important of all – understanding and involvement of key asset of each enterprise – people. That’s why ableneo is strategically focusing on building competences in all three areas – people, process and technologies and approach each change as synergy of these elements.
Commitment to agile and open source
We see any innovation as a strongly explorative process, therefore we are using experiments and early customer feedback as much as possible. We approach any change, project, or innovation with our disciplined process based on SCRUM focusing on maximum efficiency and business value generation.We believe, that open source strategy is the best accelerator for innovation. ableneo is strategically focusing on enterprise open source products and frameworks and partnering with leading open source vendors offering enterprise ready solutions applicable for mission critical use-cases.