Advanced Data Engineer

zuehlke; Wien; Vor Ort; EUR 60.000 - 95.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Safe and healthy workplace

Zusammenfassung

Zühlke is seeking an Advanced Data Engineer to design, implement, and maintain data platforms and pipelines across industries. You will collaborate with clients to tailor data solutions and drive business insights with robust data products.

The role emphasizes working with cloud platforms, modern data architectures, and a strong DevOps mindset, in a hybrid setup in Austria. Fluency in German and English is required.

Qualifikationen

• University degree in computer science, software engineering, data science, or equivalent.
• At least 3 years in data or software engineering roles.
• Experience building high quality data products for data consumers.
• Knowledge of data analysis, visualization, and optional data science.
• Understanding of data architectures (Data Lake/Lakehouse, etc.).
• Experience with cloud data platforms like Databricks, Snowflake, or SageMaker.
• Hands-on with Spark, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, FastAPI, Python/Scala/SQL/R.
• Experience with relational and non-relational databases.
• Familiarity with big data infra and varied data types.
• Experience with agile, DevOps, and AI-augmented software engineering.
• Fluency in German and English.

Aufgaben

• Act as trusted advisor guiding customers to data solutions.
• Explain the what, why and how to technical and non-technical stakeholders.
• Develop, test, and monitor distributed data pipelines.
• Create versatile datasets that are high quality and reproducible.
• Collaborate with architects, software engineers, and data scientists.
• Ensure data services meet producers and consumers needs.
• Deliver projects in an agile, iterative way to create value.
• Keep up-to-date with new data concepts and technologies.

Kenntnisse

Data engineering

Data pipelines

Data analysis

Data visualization

Data science understanding

German and English fluency

Ausbildung

University degree in computer science or related field

Tools

Databricks

Microsoft Fabric

Snowflake

Amazon SageMaker

Apache Spark

Delta Lake

Airflow

Kafka

Kubernetes

Terraform

FastAPI

Jobbeschreibung

Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future - to run smarter today while adapting for tomorrow's markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses.

If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey.

Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future - to run smarter today while adapting for tomorrow's markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses.

If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey.

The role

Zühlke is internationally recognized for expertise in developing Data Platforms and data-driven solutions for customers in many different industries. We are investing heavily in global growth in AI & Data. We believe that Data will have a positive impact on our society and environment. Data allows us to address urgent yet unsolved problems in a broad range of fields, from specific applications within organisations to problems of global significance.

As an Advanced Data Engineer, you are a key player in designing, implementing, and maintaining data pipelines. You work closely with clients to understand their data needs and realise tailored solutions that drive business insights. Your technical expertise and strong methodology help you bring your projects and clients to success.

How you'll make an impact

• Being a trusted advisor, guiding our customers towards a successful technical solution to their data challenges.
• Communicating the "what", "why" and "how" of proposed solutions to technical and non-technical stakeholders.
• Developing, testing, and monitoring distributed data processing pipelines.
• Extrapolating versatile data sets and sources to produce high quality, reproducible datasets in a scalable and maintainable way.
• Collaborating with other data roles such as Architects, Software Engineers, and Data Scientists with ease.
• Understanding the needs of many types of producers and consumers for our data services, ensuring our products meet their requirements.
• Delivering projects in an agile way, building iteratively to produce value from data early and frequently.
• Keeping yourself technically sharp, being open to learning new concepts and technologies.

What's important to us

• You have a university degree (Uni, FH) in computer science, software engineering, data science, or a comparable education.
• At least 3 years in data or software engineering positions
• Experience in designing, building, and maintaining high quality productive data products that meet the needs of data consumers.
• An understanding of common approaches to data analysis, data visualization, and optionally data science so you can produce the right data for data consumers.
• Foundational knowledge of a variety of approaches to data architectures (e.g. Data Lake, Data Lakehouse, Medallion, Data Products, streaming, batch processing)
• Experience with Cloud Data Platforms like Databricks, Microsoft Fabric, Snowflake or Amazon Sagemaker.
• Hands-on skills or a keen interest in technologies as Apache Spark, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, FastAPI, and/or programming languages (Python, Scala, SQL, R).
• Hands-on experience with both relational and non-relational databases.
• Familiarity with big data infrastructures and concepts for storing and processing large and/or heterogeneous data volumes.
• Practical knowledge of handling varied types of structured and unstructured data (text, tabular, graph, time-series, geospatial, image, etc.).
• Experience with agile development, DevOps methodologies and AI-augmented software engineering.
• Fluency in both German and English is required for this position.

What we offer

Work life blend: we offer a safe & healthy workplace, with flexible working hours