Arbetsbeskrivning

Avaron AB is a growing consultancy that matches your expertise with the market's most interesting assignments, offering a platform where your professional development is central.

You will join a team working at the intersection of robotics and data, building an industrial-scale, cloud-native data platform. The environment spans edge-to-cloud ingestion, secure and governed data access, and scalable batch and streaming processing—where open standards and privacy-by-design are central.

• Design and evolve a cloud-native data platform using lakehouse/data-lake patterns
• Build and operate batch and streaming data pipelines using Python and SQL
• Enable high-throughput edge-to-cloud ingestion for video and time-series data using open formats
• Implement security and governance controls such as IAM, encryption, and RBAC/ABAC
• Drive GDPR/privacy engineering practices across data flows and storage
• Establish CI/CD and infrastructure-as-code ways of working, including containerized deployments
• Balance performance, reliability, and cost through pragmatic, cost-aware architecture
• Collaborate closely with hardware and robotics teams as well as legal/compliance stakeholders

• 7+ years building cloud-native data platforms
• Hands-on experience with lakehouse/data-lake architectures
• Strong skills in Python and SQL for data engineering
• Experience building both batch and streaming pipelines
• Knowledge of security and governance, including IAM, encryption, and RBAC/ABAC
• Experience with GDPR/privacy engineering
• Experience with edge-to-cloud ingestion for high-throughput video and/or time-series data using open formats
• Experience with CI/CD, infrastructure as code, and containers
• Ability to design cost-aware architectures
• Bachelor's or Master's degree in Computer Science, Data/Software Engineering, Electrical Engineering, or similar
• A system-thinking, collaborative approach and interest in robotics/data

• Experience from one or more cloud platforms: Azure, AWS, or GCP
• Experience with technologies such as Spark, Kafka, Event Hubs, Airflow, Data Factory, or Workflows

Selections are made on an ongoing basis, so we recommend that you apply as soon as possible.