Senior Data & AI Platform Engineer - Consulting

Machine Learning Architects Basel (MLAB); Basel; Hybrid; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Machine Learning Architects Basel (MLAB) is seeking a Senior Data Engineering Consultant who will manage full project lifecycles across consulting, engineering, and training engagements. You will design and implement data pipelines, ML/LLM integrations, and reliability-focused deployments for client data platforms.

You will contribute to data platform blueprints and act as a trusted advisor on Data Mesh concepts, DataOps practices, and modern data architectures.

Qualifikationen

• Minimum 5 years of professional experience in data or software engineering focusing on data and ML systems.
• Experience with major data/AI platforms (e.g., Snowflake, Databricks, AWS, Azure, MS Fabric).
• Familiarity with DataOps, Data Mesh, Data Lake/Warehouses, and Reliability Engineering.
• Understanding end-to-end life cycle of projects, data/model pipelines, and stakeholder collaboration.

Aufgaben

• Consulting, Engineering & Training to help clients master digital transformations.
• Requirement analysis to define best-fit data/AI solutions.
• Implementation of data pipelines and platforms, ML/LLM integrations, reliability and operationalization.
• Concept development for blueprints on Reliable Data Products & Data Meshs.
• Be a thought leader in Data Platforms, Data Products, and DataOps.
• Ownership, communication, and teamwork with client teams.

Kenntnisse

Data engineering

Software engineering

Data pipelines

Cloud platforms

Data mesh

Reliability engineering

CI/CD

Agile methodology

Tools

Snowflake

Databricks

AWS

Azure

MS Fabric

Docker

Kubernetes

Spark

Hadoop

SQL

NoSQL

Jobbeschreibung

Machine Learning Architects Basel (MLAB) is seeking a Senior Data Engineering Consultant who will manage full project lifecycles across consulting, engineering, and training engagements. You will design and implement data pipelines, ML/LLM integrations, and reliability-focused deployments for client data platforms.

You will contribute to data platform blueprints and act as a trusted advisor on Data Mesh concepts, DataOps practices, and modern data architectures.