updated 17 days ago
Advanced Data Engineer (AI & Data)
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Job description
Text:
TL;DR
Advanced Data Engineer (AI & Data): Designing, implementing, and maintaining distributed data processing pipelines for clients across various industries with an accent on scalability, maintainability, and high-quality datasets. Focus on building data products using Cloud Data Platforms, managing distributed systems, and collaborating with cross-functional data teams.
Location: Schlieren, Switzerland (Hybrid)
Company
Global transformation partner specializing in engineering and innovation across Europe and Asia, focusing on complex regulated spaces like health and finance.
What you will do
- Act as a trusted advisor to guide customers toward successful technical data solutions.
- Develop, test, and monitor distributed data processing pipelines.
- Create high-quality, reproducible datasets from versatile sources in a scalable and maintainable way.
- Communicate the technical specifications and rationale of proposed solutions to stakeholders.
- Collaborate with Architects, Software Engineers, and Data Scientists.
- Deliver projects iteratively using Agile methodologies to produce value early and frequently.
Requirements
- University degree in Computer Science, Software Engineering, Data Science, or a comparable field.
- At least 3 years of experience in data or software engineering positions.
- Experience designing and maintaining data products using architectures like Data Lake, Lakehouse, or Medallion.
- Practical data programming skills in Python and SQL.
- Experience with Cloud Data Platforms such as Databricks, Snowflake, Microsoft Fabric, or Amazon Sagemaker.
- Fluency in both German and English is required.
Nice to have
- Hands-on skills with Apache Spark, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, or FastAPI.
- Knowledge of programming languages such as Scala, R, Java, Typescript, or .NET.
- Experience with both relational and non-relational databases.
- Familiarity with big data infrastructures for processing large and heterogeneous data volumes.
Culture & Benefits
- Flexible working hours and the possibility to work from home (hybrid model).
- Profit share scheme based on the company's annual success.
- Inclusive global community with annual team camps and local festivities.
- Strong commitment to professional growth and investment in skill development.
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