You will build modern data platforms on Databricks for our bank clients, ranging from data warehouse migration to AI use cases. In this role, you will be responsible for end-to-end technical implementation, including Lakehouse, pipelines, and data models.
About 70% of our clients are banks, and more and more of them are switching to Databricks. That’s why we’re expanding the Data Team to include Databricks expertise. Typical projects include migrating a data warehouse to Databricks and building a semantic layer so that queries via Databricks Genie return accurate results. Technical consulting colleagues handle business analysis and user stories within the project. You’ll contribute the technical perspective and the big-picture view.
Specific-Group is an owner-managed data and software service provider with a focus on engineering. We’ve been in business for over 26 years and have approximately 550 specialists at more than 14 international locations. We were founded in Vienna, where 260 colleagues currently work. Over the past five years, we’ve grown by about 25% each year.
- You implement Databricks solutions, including Lakehouse, pipelines, and data models for data warehouses, data lakes, and data platforms.
- You build scalable and efficient data platforms on Databricks.
- You have a broad understanding of Databricks features and know which ones are best suited for specific purposes. You don’t need to be an expert in every feature, but you do need a comprehensive overview.
- You implement AI use cases using the Databricks stack, ranging from traditional machine learning to agent-based systems.
- You’ll manage cloud data engineering projects and coordinate collaboration with clients and the project team.
- You’re the first point of contact for technical questions and support teams with technical and methodological challenges.
Your Profile
- You have a background in data engineering or data architecture and have implemented end-to-end data solutions for clients.
- You have migrated or built a data platform, for example using Databricks, Snowflake, or Microsoft Fabric.
- You have hands-on experience with Databricks, Lakehouse, Spark, and SQL.
- You have banking experience and are familiar with a bank’s legacy systems and data landscape.
- You enjoy coming to our office (Schwedenplatz) two days a week to collaborate with the team
- German C1
- A 15-minute introductory session with our technical recruiting team.
- A discussion about team fit with the Data Team Lead and Staff Engineer.
- Get to know the team and engage in a technical discussion.
According to the collective bargaining agreement for employees of companies in the automatic data processing and information technology (IT) services sector (IT-KV), job family ST2, the minimum salary for this position is EUR 4,061 gross per month for full-time employment. The actual salary is higher than this; your final pay grade will be determined based on your qualifications and professional experience.
SPG stands for diversity. We welcome applications regardless of gender, age, background, sexual orientation, religion, or disability.