With your expert data team colleagues you will develop:

- streaming infrastructure

- operational and analytical data stores

- refactor and modernize existing data warehouses, APIs and bring those into the cloud

- extend modern data pipeline solutions

- design and implement feature stores for data analysts and scientists

- architect data environments according to Data Vault 2.0 methodology

— Work with a modern data technology stack:

• CI/CD with Jenkins, Git
• Snowflake, Oracle Cloud Infrastructure
• Apache Kafka, Spark, Flink
• Azure Stack (Azure ML, AKS, Data Factory, PowerBI)
• Airflow and Airbyte

— Optimize our clients' conventional on-premise Oracle data marts and DWHs, as well as modernization and migration of numerous legacy systems such as SAS, Teradata and many more.

— Develop automated data pipelines, ETL and ELT processes, and REST interfaces

— Analyze and load structured and semi-structured data

— Participate in data science projects and in machine learning ops

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
• Zmitzer - 19 years in database administration and development
• Robert, Tamas - 21 years experience. as technical requirement engineers (DWH focus)

What do you bring with you:

— 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

— 1st Gen Big Data experience with the Hadoop stack (Hortonworks, Cloudera)

— Knowledge of data modeling and data governance

We are not an impersonal coporate with anonymous developer batteries neither are we a start up with small projects.

Our Data Service Line has a special focus on the operation and optimization of our customers data infrastructure: from classic DWHs, ETLs and streaming systems to data engineering for cloud data stores and ML Ops. Our experienced data management team supports our clients in the successful implementation of IT and data strategies.

In the first meeting (max. 15 minutes) we talk openly about (team structure, expectations, salary structure...)

- Book directly in the calendar: https://outlook.office365.com/owa/calendar/Maximilian@specific-group.com/bookings/

- Average application time until the contract (8 days)

PS: Sounds promising, but not the right timing for you yet? You know someone who might fit - We pay €2,000 for each successful recommendation, even if you don't work for us yet. (Send your recommendation to Julian.voboril@specific-group.com)

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.