FullTime with Benefits

Data Engineer (m/f/d) | Databricks | Lakehouse | Banking

Specific-Group · Austria

Contract · Posted on 13 November 2026

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Data Engineer (m/f/d) | Databricks | Lakehouse | Banking

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.

Apply now!

Model: Hybrid

Location: Vienna

Category: Data & AI

Working hours: Vollzeit

Type of employment: Permanent Position

Salary:

65.000

  • 80.000

EUR p.a.

Back to the overview

Your Future Work Environment

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.

Who is SPG?

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.

Responsibilities & Expectations

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

Application Process

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.

Ready for the next step?

We look forward to receiving your application.

Apply now!

Back to the overview

Compliance & Notes

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.

Our high-performance teams provide IT consulting, support and tailor-made IT solutions to help larger organizations and SMEs leverage their own IT to digitally transform and optimize their core business.

Linkedin Facebook Instagram Youtube Spotify Apple

Our high-performance teams provide IT consulting, support and tailor-made IT solutions to help larger organizations and SMEs leverage their own IT to digitally transform and optimize their core business.

Linkedin Facebook Instagram Youtube Spotify Apple

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Original posting: specific-group.com

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