Data Engineer

• Lead and execute commissioning activities for electrical systems and equipment in data centers
• Inspect, configure, test, and commission electrical systems and equipment
• Closely coordinate and collaborate with clients, subcontractors, and multidisciplinary project teams
• Ensure compliance with local regulations, standards, and guidelines
• Communicate daily with clients, subcontractors, and internal back-office teams
• Prepare commissioning documentation and test scripts

Commissioning Engineer – Data Centers

• **Data Ingestion & Lakehouse Development**: Design, build, and maintain data ingestion and processing pipelines within Aktiia’s Databricks-hosted medallion Lakehouse, working under senior guidance while gradually taking on more ownership.
• **Clinical & Legacy Data Integration**: Take an active role in ingesting, centralizing, and documenting clinical data currently spread across EDC platforms such as Castor and RedCap, databases, standalone archives, and other historically grown sources.
• **Data Exploration & Practical Data Archaeology**: Work hands-on with unfamiliar and sometimes messy datasets, identify structures and inconsistencies, and turn unstructured situations into reliable, usable data assets.
• **Pipeline Development & Preprocessing**: Build preprocessing and ETL/ELT pipelines that provide clean, structured, and model-ready datasets for Algorithm Development, Core Tech, Machine Learning, and Data Science teams.
• **Data Quality, Validation & Documentation**: Define and apply practical standards for data quality, validation, traceability, and documentation — especially for sensitive and clinically relevant datasets.
• **Observability & Engineering Practices**: Implement logging, validation checks, alerting, and basic observability for new pipelines, while contributing to shared codebase practices such as Git, code reviews, CI/CD, and testing.
• **Platform Scaling & Collaboration**: Support the evolution of the lakehouse from selected technical use cases toward a company-wide data infrastructure, working closely with the Senior Data Engineer, ML Engineers, Data Scientists, and cross-functional stakeholders.

Junior Data Engineer

• Analyze source and target data structures.
• Participate in defining data transformation and migration rules.
• Develop and execute data extraction, transformation and loading (ETL) processes.
• Perform quality checks and consistency validations on migrated data.
• Document implemented processes and ensure operation traceability.
• Collaborate with business and technical teams throughout the project.

Data Migration Specialist – ERP, SQL, Data Integration

• Own, Design, Build & Operate Data Pipelines – Take responsibility for our Spark-based pipeline, from development through production and monitoring.
• Advance our ML Models – Improve and productionise models for AdTech use-cases such as lookalike modelling and demographics modeling.
• AI-Powered Productivity – Leverage LLM-based code assistants, design generators, and test-automation tools to move faster and raise the quality bar.
• Share your workflows with the team
• Drive Continuous Improvement – Profile, benchmark, and tune Spark workloads, introduce best practices in orchestration & observability, and keep our tech stack future-proof.

Data Engineer jobs in Switzerland

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Commissioning Engineer – Data Centers

Junior Data Engineer

Data Migration Specialist – ERP, SQL, Data Integration

Senior Data Pipeline Engineer – Freelance, 80-100%