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- Aufgaben: Design and optimize data pipelines, ensuring data quality and delivering insights.
- Arbeitgeber: Join Kommunalkredit, a forward-thinking infrastructure bank focused on sustainable development.
- Mitarbeitervorteile: Enjoy flexible hours, meal vouchers, job tickets, and training opportunities.
- Warum dieser Job: Be part of a dynamic team driving cloud migration and impactful data solutions.
- Gewünschte Qualifikationen: 5+ years in data engineering, Bachelor's in a related field, and strong data visualization skills.
- Andere Informationen: Salary starts at 3,500 euros, with room for growth based on experience.
INFRA BANKING EXPERTS ABOUT US Our vision: We will become the most agile and nimble infrastructure bank in Europe. We help creating a better world by enabling sustainable infrastructure that improves the quality of people\’s live. Always first: We are always first when it comes to delivering outstanding results with speed and precision. We never stand still. We take \“always first\“ as an obligation to get better every day. Looking for a new Challenge? In this entrepreneurial growth environment, Kommunalkredit is looking to expand its Data Warehouse team in Vienna. It offers ample space for creativity, self-initiative and personal development. Join our team IT Data Engineer (m/f/d) Key Responsibilities * Craft Efficient Data Pipelines: Design, implement, and optimize data pipelines that streamline processing and integration across multiple systems. * Own and Enhance Our Data Platform: Ensure the platform is performing at its best by reaching optimal performance and scalability. * Deliver Meaningful Insights: Use your analytical skills to turn raw data into actionable insights that inform business decisions. Utilize tools like Tableau, to create dashboards and visualizations that highlight key metrics and trends. Develop custom reports and ad hoc queries to provide business stakeholders with insights. * Ensure Data Quality: Develop and implement comprehensive data quality frameworks in the data warehouse to ensure accuracy, consistency, and completeness of data. Automate quality checks within ETL processes and address data quality issues through root cause analysis and remediation. * Drive Cloud Migration: Be a key player in transitioning our on-premise systems to the cloud, enabling agility and future-proofing our data infrastructure. Requirements * 5+ years of experience in data engineering or analytics roles. * Bachelor\’s degree in Computer Science, Data Science, or a related field. * Experience with data migration projects, especially moving from on-premise to cloud. * Knowledge of financial data and SAP ERP systems (a nice-to-have, but not a must). * Proficiency in English required; working knowledge of German is a plus. * Strong skills in data visualization using tools like Tableau. * Familiarity with cloud platforms like AWS Redshift or Snowflake, and a history of working with on-premise data warehouses. In accordance with the collective agreement for bank employees and bankers, we ensure a remuneration that is in line with market standards and adjusted to your experience and qualifications. According to the collective agreement, the salary for this position starts at 3,500 euros. Additionally, we offer numerous benefits, including a job ticket, meal vouchers, flexible working hours, and opportunities for further training. Apply now Kommunalkredit Austria AG Türkenstraße 9 1090 Vienna www.kommunalkredit.at
Data Engineer (m/f/d) (m/w/d) Arbeitgeber: Kommunalkredit Austria AG
Kontaktperson:
Kommunalkredit Austria AG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer (m/f/d) (m/w/d)
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, such as Tableau for data visualization and cloud platforms like AWS Redshift or Snowflake. Having hands-on experience or projects showcasing these skills can set you apart.
✨Tip Number 2
Highlight your experience with data migration projects, especially transitioning from on-premise to cloud systems. Be prepared to discuss specific challenges you faced and how you overcame them during the interview.
✨Tip Number 3
Showcase your analytical skills by preparing examples of how you've turned raw data into actionable insights in previous roles. This could include discussing dashboards you've created or reports that influenced business decisions.
✨Tip Number 4
Since knowledge of financial data and SAP ERP systems is a nice-to-have, consider brushing up on these topics. Even if you're not an expert, demonstrating a willingness to learn can impress the hiring team.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer (m/f/d) (m/w/d)
Tipps für deine Bewerbung 🫡
Understand the Company Vision: Familiarize yourself with Kommunalkredit's vision of becoming the most agile infrastructure bank in Europe. Reflect this understanding in your application to show alignment with their goals.
Highlight Relevant Experience: Emphasize your 5+ years of experience in data engineering or analytics roles. Provide specific examples of projects where you designed data pipelines, ensured data quality, or worked on cloud migration.
Showcase Technical Skills: Detail your proficiency in data visualization tools like Tableau and your familiarity with cloud platforms such as AWS Redshift or Snowflake. Mention any experience with financial data or SAP ERP systems, even if it's not a must.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and how you can contribute to the team. Make sure to connect your skills with the key responsibilities listed in the job description.
Wie du dich auf ein Vorstellungsgespräch bei Kommunalkredit Austria AG vorbereitest
✨Showcase Your Data Pipeline Skills
Be prepared to discuss your experience in designing and optimizing data pipelines. Highlight specific projects where you successfully streamlined data processing and integration, as this aligns with the key responsibilities of the role.
✨Demonstrate Analytical Thinking
Prepare examples of how you've turned raw data into actionable insights. Discuss any tools you've used, like Tableau, to create dashboards or reports that influenced business decisions, showcasing your ability to deliver meaningful insights.
✨Emphasize Data Quality Experience
Talk about your experience with data quality frameworks and how you've ensured accuracy and consistency in data. Be ready to explain how you've automated quality checks and addressed data quality issues in previous roles.
✨Discuss Cloud Migration Projects
If you've worked on cloud migration projects, share your experiences and the challenges you faced. Highlight your familiarity with cloud platforms like AWS Redshift or Snowflake, as this is a crucial aspect of the position.
