Advanced Data Engineer

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

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 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 prod-ucts 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 in computer science, software engineering, data science or a compa-rable education.
- At least 3 years in data or software engineering positions
- Experience of designing, building and maintaining 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.
- Experience with a variety of approaches to data architectures (e.g. Data Lake, Data Mesh, Data Warehouse, streaming, batch processing)
- Experience with Cloud Data Platforms like Databricks, Microsoft Fabric or Amazon Sagemaker.
- Practical data programming skills in Python and SQL.
- Hands-on skills or a keen interest in such technologies as Apache Spark, Airflow, Kafka, Kubernetes, and Java, Typescript or.NET.
- 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 da-ta volumes.
- Practical knowledge of handling varied types of structured and unstructured data (text, tabular, graph, time-series, geospatial, image, etc.).
- Experience with agile development and DevOps methodologies.
- Fluency in English is required for this position.

What we offer
- Work life blend: we offer a safe & healthy workplace, with flexible working hours and the possibility to work from home
- Profit share scheme: In addition to your annual salary, you may receive a profit share defined by the company’s success in the previous year
- Global and Diverse Zühlke community: witness how colleagues from all our 16 offices across the globe come together to create a unique, positive and inclusive work culture, learning from one another at annual team camps, and celebrating year-end parties and other local festivities.
- Committed to development: we are committed to the growth of our people and are investing in your development. We’re empowering you to build the skills you need to make a positive impact, both personally and for our clients, today and in the future.

We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.