Advanced Data Engineer (AI & Data)

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.