Senior Data Engineer

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About the Company

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.

About the Assignment

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.

Job DescriptionDesign 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

Requirements7+ 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

Nice to haveExperience from one or more cloud platforms: Azure, AWS, or GCP

Experience with technologies such as Spark, Kafka, Event Hubs, Airflow, Data Factory, or Workflows

Application

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