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Advanced Data Engineer

Zühlke -
Schlieren, ZH

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%

Avantages

Travail à domicile

Qualifications

Microsoft Excel
Relational databases
Spark
R
Analyse de données
Anglais
.NET
Java
Bases de données
SQL
Niveau Licence
Terraform
Python
Allemand

Description complète du poste

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 (ETH, 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 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 Lakehouse, Medallion, Data Products, streaming, batch processing)
Experience with Cloud Data Platforms like Databricks, Snowflake, 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, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, FastAPI, and programming languages (Scala, R, 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 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 and DevOps methodologies.
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 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.

If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application!

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.

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advanced data engineer emplois

Advanced Data Engineer

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Data Engineer - QuantumBlack, AI by McKinsey

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Data Scientist - Search Retrieval (f/m/d)

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Strategy and Transformation Consultant - Life Science

Senior Engineer Technology and Innovation, Advanced Coating

Battery Systems Engineer

Numerical Modeling Engineer

Quality Engineer

Software Engineer, Agent Systems

Research Software Engineer for Computational Mass Spectrometry

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