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Data Engineer
paiqo GmbH
- Place of work: Ungargasse 37, Vienna, Austria (Job with occasional home office)
- Basic wage component (gross) and other rewards: 3 500 EUR/monthThe monthly salary is paid 14x per year. Salary for the junior position is starting at 3500, for the senior position at 4500. The final salary depends on your professional and personal qualifications in the required areas.
- Start date: As soon as possible
- Contract type: full-time
Job description, responsibilities and duties
One extremely important aspect of the work at paiqo is our culture – having fun working together, trusting each other, and combining independence with teamwork. There are no fixed working hours and no fixed reporting structure. We are looking for Data Engineers whom we can trust to do great work on their projects because they are motivated by the challenging nature of the projects themselves. We are also looking for people we can learn from and who are willing to learn with us, to always stay on the cutting edge with our technical skills.
Employee perks, benefits
• Working flexibly from home or the office
• Great emphasis on education and trainings with dedicated time on the job
• Opportunity to use the newest technologies for data storage and processing
• Challenging projects with well-known companies in various fields as customers
• Young and highly motivated team
• Support with relocation to cities where we have our offices
• Company phone and laptop
• Annual ticket for local public transport
• Language courses
• Great emphasis on education and trainings with dedicated time on the job
• Opportunity to use the newest technologies for data storage and processing
• Challenging projects with well-known companies in various fields as customers
• Young and highly motivated team
• Support with relocation to cities where we have our offices
• Company phone and laptop
• Annual ticket for local public transport
• Language courses
Requirements for the employee
Candidates with education suit the position
Secondary with school-leaving examination
Follow-up/Higher Professional Education
University student
University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)
Follow-up/Higher Professional Education
University student
University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)
Educational Specialization
Data Engineering, Software Development
Language skills
English - Proficiency (C2) or German - Advanced (C1)
Experience in the position/sector
Data Engineering
The position is suitable for a fresh graduate
Yes
Personality requirements and skills
• Good analytical and problem-solving skills, critical thinking, and an ability to explore and understand customers’ technical ecosystems and data, as well as an ability to communicate complex technical problems and their solutions clearly
• Experience in programming and a demonstrable ability to learn new programming languages. There is no strict requirement on the knowledge of any particular languages, since on each project we may need to adjust to the customer’s existing technical landscape. Commonly used languages include Python, C#, Scala and various dialects and procedural extensions of SQL
• Readiness to travel
• English or German proficiency
• Interest in modern cloud-based data architecture and cloud services. Experience is an advantage.
• Interest in working with various databases (SQL and NoSQL). Experience is an advantage.
• Interest in working with Spark and the Hadoop stack. Experience is an advantage.
• Interest in building data processing pipelines and defining data architectures. Experience is an advantage.
• Deep understanding of modern cloud-based data architecture and cloud services, preferably with Microsoft Azure (Senior)
• Experience with Spark and the Hadoop stack is an advantage (Senior)
• Experience working with various databases, SQL and NoSQL (Senior)
• Experience in building data processing pipelines and defining data architectures (Senior)
• Experience in programming and a demonstrable ability to learn new programming languages. There is no strict requirement on the knowledge of any particular languages, since on each project we may need to adjust to the customer’s existing technical landscape. Commonly used languages include Python, C#, Scala and various dialects and procedural extensions of SQL
• Readiness to travel
• English or German proficiency
• Interest in modern cloud-based data architecture and cloud services. Experience is an advantage.
• Interest in working with various databases (SQL and NoSQL). Experience is an advantage.
• Interest in working with Spark and the Hadoop stack. Experience is an advantage.
• Interest in building data processing pipelines and defining data architectures. Experience is an advantage.
• Deep understanding of modern cloud-based data architecture and cloud services, preferably with Microsoft Azure (Senior)
• Experience with Spark and the Hadoop stack is an advantage (Senior)
• Experience working with various databases, SQL and NoSQL (Senior)
• Experience in building data processing pipelines and defining data architectures (Senior)
Advertiser
Brief description of the company
We are a young consulting company based in Vienna and Paderborn, with a team of talented data engineers, architects and data scientists specializing in building cloud-based data platforms and AI/ML solutions for our customers. Our customers, with which we have strong relationships and multi-year contracts, include well-known companies in the areas of energy providers & utilities, retail, financial services, and mobile apps. Our projects always involve applying cutting-edge cloud technologies to exciting real-world data. This is shown by our strong relationship with Microsoft where we have multiple Gold- and Advanced Certifications.
Number of employees
25-49 employees