Talantix.io
Raiffeisen Group IT GmbH•10.02.26
AI SCORE 8.5

Mid-Senior Data Engineer - Banking & IT Services

$45K/year
OfficeBanking & IT ServicesRelocation
Data Warehousing•ETL•SQL•PostgreSQL•BI Tools•Scrum•CI/CD•TDD•Linux•Docker•Python•Java

About the Role

We are looking for a skilled Data Engineer to join our team at Raiffeisen Group IT GmbH. As a Data Engineer remote, you will play a crucial role in managing data integration from multiple sources and developing data pipelines, ETL processes, and data warehousing solutions. This is an exciting opportunity to advance your career in data science while working in a dynamic environment.

What You'll Do

  • Manage data integration of multiple sources to ensure seamless data flow.
  • Further develop data pipelines, ETL processes, data warehouse, data interfaces, reports, and BI solutions (OLAP, Dashboards).
  • Conduct ad-hoc data analysis to support business needs.
  • Create proof-of-concepts, prototypes, and spikes to demonstrate new solutions.
  • Proactively ensure code quality and testing to maintain high standards.
  • Address non-functional requirements to improve system performance.

Requirements

  • Engineering mindset with a passion for data science.
  • Professional knowledge in DWH / Data Models (dimensional, data vault, relational, NoSQL).
  • Professional experience with ETL tools (Pentaho Data Integration or similar).
  • Strong SQL skills and experience with DBMS (PostgreSQL).
  • Experience with BI tools (QlikView / QlikSense or similar).
  • Familiarity with software engineering concepts like Scrum, CI/CD, and TDD.
  • German language skills are a plus.

Nice to Have

  • Experience in Linux / Bash.
  • Experience in Cloud Environments / Docker.
  • Knowledge of Python and Java.

What We Offer

  • Work-life balance with flexible working hours and the possibility of home office (approx. 50%).
  • Relocation allowance and work permit support for those moving to Austria.
  • Access to modern tools and technologies to enhance your work experience.
  • Join a multicultural team with English as the company language.
  • Participate in team-building events and enjoy a vibrant company culture.
  • Healthy and subsidized meals in our canteen.
  • Discounts and vouchers from our staff council.
  • Additional benefits such as free public transport pass, salary account, credit card, and gender-neutral parental leave.
Language Requirements
German(optional)B2
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a great opportunity for a Data Engineer to work in a dynamic environment with relocation support and flexible working hours.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in building and optimizing data pipelines using ETL processes and tools such as Apache NiFi or Talend, with a strong focus on data warehousing solutions in a PostgreSQL environment.

→

Ability to thrive in an office setting with a hands-on approach to problem-solving, leveraging Scrum methodologies to manage projects and ensure timely delivery of data solutions.

→

Experience with CI/CD practices and TDD in a Linux environment, demonstrating a proactive mindset towards automating data workflows and ensuring high-quality code.

Learning Resources

→Data Warehousing Conceptsarticle
→PostgreSQL for Data Engineeringcourse
→Introduction to Docker for Data Engineersvideo

Career Path

Mid-Senior Data Engineer - Banking & IT Services(Now)→Lead Data Engineer(2-4 years)→Data Engineering Manager(4-6 years)

Market Overview

Market Size 2024
$20.3B
Annual Growth
12.5%
AI Adoption
45%
Investment in Data Warehousing
+30%
Labour Demand for Data Engineers
+25%
Avg Salary for Data Engineers
$120K

Skills & Requirements

Required
Data WarehousingETLSQL
Growing in Demand
Data LakesMachine Learning IntegrationCloud Data Platforms (e.g., AWS Redshift, Google BigQuery)
Declining
Traditional Data Warehousing (e.g., Oracle Exadata)ETL Tools (e.g., Informatica PowerCenter)

Domain Trends

Increased Demand for Real-Time Data Processing
Organizations are investing in real-time data processing solutions, with 60% of companies planning to adopt streaming data architecture by 2025.
Shift Towards Cloud-Based Data Warehousing
Cloud data warehousing solutions are projected to grow by 25% annually, with 70% of enterprises expected to migrate to cloud platforms by 2025.
Focus on Data Governance and Security
With data breaches on the rise, 55% of organizations are prioritizing data governance frameworks, leading to a 40% increase in demand for data compliance roles.

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