Senior Data Engineer / Machine Learning Engineer – Edge AI & Monitoring (m/f/d)

Nagarro · Remote, Austria · posted Oct 20, 2026

Open to candidates in Austria

Full-timesenior

You apply on the company's own site. We never charge to apply.

What this role actually asks for

Extracted by RemoteHunt

Must have

  • •Strong Python skills
  • •Databricks or similar platforms
  • •Spark/PySpark, SQL, data engineering, ETL/ELT
  • •Docker, Kubernetes, AWS, cloud/edge architectures
  • •MLOps, MLflow, model monitoring, pipeline orchestration
  • •Fluent German

Nice to have

  • •Data lakes/lakehouses
  • •Data quality tools
  • •Infrastructure as code

Tools and technologies

PythonDatabricksSparkPySparkSQLETLELTDockerKubernetesAWSMLOpsMLflowOpenTelemetryGit

Languages required

de

The full posting

Company Description
👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight.

We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (19,000+ experts across 34 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

Job Description
We are looking for an experienced Data Engineer / Machine Learning Engineer with strong Python skills and expertise in Databricks, data engineering, and machine learning operations (MLOps) to support the development and optimization of Edge AI solutions. In this role, you will build real-time monitoring solutions for Edge AI services, automate machine learning pipelines, and develop simulation-based approaches to optimize control parameters for industrial filling processes.

You will work across edge and cloud environments, ensuring reliable AI operations, high data quality, and continuous model performance. Develop real-time monitoring and alerting solutions for Edge AI services using OpenTelemetry. Enhance Databricks dashboards to monitor data quality, data drift, and model performance.

Automate ML retraining workflows and further develop existing training pipelines. Build and optimize data pipelines across edge and cloud environments. Develop simulation models and optimize controller parameters for industrial filling processes. Integrate solutions into existing support and operational processes.

Qualifications

Strong Python skills and experience with Databricks or similar platforms. Solid knowledge of Spark/PySpark, SQL, data engineering, and ETL/ELT pipelines. Experience with Docker, Kubernetes, AWS, and cloud/edge architectures.

Knowledge of MLOps, MLflow, model monitoring, and pipeline orchestration. Familiarity with data lakes/lakehouses, data quality tools, Git, and infrastructure as code. Fluent German is mandatory.

Additional Information
Why working for us is great: Flexible Working Time - Always adapting to your current needs Flexible Working Place - In our Vienna office or at your Homeoffice anywhere in Austria Corporate Health - Because we care for you Social Events - We get together and have fun Unique Corporate Culture - In our hearts, not just talk The latest Technology - For the brightest minds Development Initiatives - Life long learning is not a cliché Modern Office - Where everyone feels welcome Not enough?

Click here for more information. Gross monthly salary depending on qualifications, experience and salary model starting with € 4.500

Send this job to a friend:TelegramWhatsApp

Similar remote jobs

Get new jobs like this by email

Once a week. Remote data engineer jobs that can hire you in your country.

Hiring in: your countryChange

Weekly, only when there are at least 3 new jobs. No account needed. Unsubscribe in one click. You never pay to apply. Privacy

Is this one actually worth your time?

RemoteHunt scores every remote job 0–100 against your own resume, so you apply to the handful that fit instead of the hundred that don't. Free plan, no card required.