Then we are right!

Summarized:

For one of our largest clients we have developed an Operational Data Storage (ODS) that is a perfectly complementary product to their current data warehouse solution, which focuses solely on operational data. It enables the organization to provide a snapshot of the most recent data from multiple transactional systems by combining data in its original format from different sources into a single target (the ODS) for operational reporting. By developing APIs and leveraging multiple Business Intelligence (BI) software, the bank can transform the data stored in the ODS into a powerful and data-driven decision-making tool.

Typical week: (travel activity: 5%) / Your Tasks:

• Data modeling in the enterprise environment in the core banking area. (DWH...)
• High level effort estimates to avoid unnecessary discussions
• Optimization of Oracle Data Marts and DWHs as well as modernization and migration of numerous legacy systems such as SAS, Teradata and many more.
• Automate data pipelines, ETL and ELT processes with the Dev's
• Independent differentiation between must-have & nice-to-have functionalities
• Collaborate & learn with the team = 8 specialized teammates (DevOps, DBA, Architect., Dev...)
• Analyze and load structured and semi-structured data
• Participate in data science projects and in machine learning ops

What's unique?

• On average, all colleagues work 163h/month (Source: Jira)
• Technically experienced & international colleagues (over 75% seniors)
• Optimal company structure/size to be able to handle projects efficiently
• An environment without fingerpointing culture
• Above average salary

What is the team structure like?

• Chris - 24 years as Oracle Admin, Development & Architecture experience
• Radik - 21 years Senior Java Backend with API and Streaming Focus
• Ervin, Dmitriy - 23 years in Banking DevOps & PLSQL Dev
• Bernhard - Technical Project Manager with experience as Java Dev
• Ivo - 21 years in Management, Data Platforms, Analytics & Software Dev
• Vasili - 17 years in database development and statistical data analysis
• Daniel - 8 years as Lead Data Scientist & Data Engineer, developing & architecting AI based solutions
• Robert, Tamas - 21 years experience. as technical requirement engineers (DWH focus)

What you bring: (Middle / Senior experience)

No, we are not looking for a "miracle guy" - we want to support/educate you!

• Mathematics or Physics degree/background preferred due to data analysis tasks involved for this role
• When you think of CI, you not only think of CI/CD, but also of continuous improvement in the analysis
• Independent assessment of when you need which "expert" (architect, DevOps...)
• Hands-on experience with SQL, PL/SQL or NoSQL an advantage
• Experience with Airflow and Airbyte
• Knowledge in Python, R, Java or Scala is very beneficial

Since you're still reading, good news, you're more than halfway through and you don't need a CV to get to know each other.

We are not an impersonal coporate with anonymous developer batteries neither are we a start up with small projects. Our annual growth in our efficiently sized company (130AT/International 400) is around 25%! Thats why we are able to catch the best (backend) projects for mobility, fintech and finance.

This only works because of our perfect project and senior team (75%+) combination.

facts and figures:

• 155 colleagues in Vienna (75%+ seniors)
• In total more than 400 technical experts
• 24 years on the market (18 years with distributed teams)
• 12 international offices
• Industries: 30% B2B Corporates & 70% Fintech/Finance
• Techstack: Focus on Java & .Net

A market-compliant, attractive and performance-related salary starting at 70,000€ with a willingness to overpay depending on experience and qualification.

We are pleased that you are interested in the Specific Group. According to the

Specifications of Art. 13, 14 and 21 of the General Data Protection Regulation (GDPR)

we will inform you below about the processing of the data you provide in the

transmitted as part of the application process and, if applicable, by us

collected personal data and your rights in this regard: https://www.specific-group.com/privacy-policy

Responsible handling of personal data is a matter of course for the Specific Group.

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