Customer-Facing Databricks Engineer

Machine Learning Reply GmbH; Wien; Hybrid; EUR 36,000 - 48,000; Full time

Benefits offered by this job

Gross monthly salary €3,215–€4,286 (as

Flexible work environment

Job summary

Machine Learning Reply Austria is seeking a Forward Deployed Databricks Engineer to deliver customised, end-to-end data platform and analytics solutions directly with customers. The role focuses on Databricks-based implementations across the full project lifecycle and requires strong data engineering, Python and SQL skills, plus cloud experience.

You will collaborate with customers to translate requirements into scalable architectures, build and optimise data pipelines and lakehouse models, and

Qualifications

• Completed studies in computer science, mathematics, physics or engineering.
• Solid experience with Python, SQL and data engineering.
• Experience with Databricks or strong modern data platforms.
• Good understanding of lakehouse architecture and data modelling.
• Knowledge of cloud services (AWS/Azure/GCP).
• Experience with CI/CD and software engineering practices.
• Strong communication and customer-delivery skills.

Responsibilities

• Deliver customised end-to-end data platform and analytics solutions for customers.
• Work with customers to translate requirements into scalable Databricks architectures.
• Design and optimise data pipelines, lakehouse architectures, and data models.
• Implement data ingestion, transformation, orchestration, governance and analytics in production.
• Collaborate with stakeholders, aligning business needs with technical delivery.
• Promote Data Engineering, DataOps, and cloud-platform best practices.
• Stay current with Databricks and cloud ecosystem developments.

Skills

Python

SQL

Data engineering

Databricks

Java

Rust

German

English

Scrum

Education

Computer science / mathematics / physics / engineering

Tools

Databricks

AWS

Azure

GCP

Job description

Machine Learning Reply Austria is seeking a Forward Deployed Databricks Engineer to deliver customised, end-to-end data platform and analytics solutions directly with customers. The role focuses on Databricks-based implementations across the full project lifecycle and requires strong data engineering, Python and SQL skills, plus cloud experience.

You will collaborate with customers to translate requirements into scalable architectures, build and optimise data pipelines and lakehouse models, and