DevOps Specialist / Data Engineer (all genders) - Data & Analytics

oeh; Wien; Vor Ort; EUR 37.255 - 44.624; Vollzeit

Benefits dieser Stelle

Flexi Time

Home-Office options

Learning & Development

Health & Sports Offers

Zusammenfassung

A leading analytics firm in Vienna is seeking a DevOps Specialist/Data Engineer to build and optimize data pipelines and solutions. You will work closely with data teams, utilize Databricks and Azure services, and ensure the reliability of data operations. Required qualifications include a degree in a relevant field and 3+ years of experience in data engineering. The position provides a modern workspace and flexibility for home office and working hours.

Qualifikationen

• 3+ years of experience in DevOps, cloud, platform, or data engineering.
• Strong expertise in building and operating data pipelines on Databricks.
• Excellent communication skills and solution-oriented working style.

Aufgaben

• Collaborate with teams to build data and ML solutions.
• Design and operate data pipelines using Databricks and Python.
• Implement CI/CD pipelines and infrastructure automation.

Kenntnisse

DevOps

Data Engineering

Python

Databricks

Azure Data Factory

CI/CD

Communication

Ausbildung

Degree in Computer Science or comparable

Tools

Azure DevOps

Power BI

Jobbeschreibung

DevOps Specialist / Data Engineer (all genders) - Data & Analytics

Location: Vienna

Your Tasks

• Collaborate with data engineers, scientists, and product owners to build group-wide data, ML, GenAI, and BI solutions
• Design, build, and operate data pipelines on Databricks using Python and Lakeflow (Pipelines, Jobs/Workflows)
• Use Azure Data Factory and Azure services for data ingestion, orchestration, and backend integration
• Implement and operate CI/CD pipelines, infrastructure automation, and environment management
• Standardize and improve release, deployment, and operations across DataOps, MLOps, LLMOps, and DevOps
• Ensure monitoring, logging, security, access control, and cost/performance optimization in production

Your Benefits

37,5 Working Hours, Flexi Time & Home-Office

Learning & Development

Life Balance & Family Specials

Modern Workspace & Canteen

Health & Sports Offers

More Benefits

Your Profile

• Degree in Computer Science, Data/Cloud Engineering, or comparable practical experience
• 3+ years of experience in DevOps, cloud, platform, or data engineering with a focus on production‑grade data solutions
• Strong expertise in Databricks (Python, Spark, Lakehouse) and building and operating data pipelines
• Experience with Azure DevOps, Git, CI/CD, infrastructure automation, as well as Azure services including Data Factory and BI tools (Power BI, Fabric)
• DataOps mindset with focus on testing, versioning, observability, and reliable operations
• Excellent communication & teamwork, independent and solution‑oriented working style, very good English; German is a plus

Based on the legal requirements, we inform about the monthly minimum salary according to the collective agreement of EUR3,668.49 gross on the basis of full‑time employment (37,5 hours / week). Of course, the remuneration package is market‑compliant. It is important to us that your salary is based on your qualifications and experience, therefore we will discuss the salary together in a personal interview.