📍 Gothenburg (Hybrid) or Remote within the EU

We’re on the hunt for a Senior Data Engineer to design and scale the data backbone behind some of Europe’s most demanding, high-volume data ecosystems.

Whether your background is in e-commerce, medtech, automotive robotics, IoT, finance—or beyond—if you’ve built production-grade pipelines that perform under pressure, this could be your next big challenge.

What You’ll Own

Architect and Scale end to end data pipelines from ingestion to transformation across batch and Streaming systems. Processing billions of sensor, simulation and telemetry events daily.

Partner with AI, ML, and simulation teams to deliver ML-ready, traceable, and compliant datasets.

Work hands-on with tools like Airflow, Spark, Databricks, and cloud platforms such as GCP or Azure.

Lead data governance initiatives: schema evolution, data cataloging, and proactive pipeline monitoring.

Enable AI workflows with efficient data selection, annotation, labeling pipelines, and feedback loops.

Design and enforce best practices around data observability and data protection

What You Bring

3+ years’ experience building and running scalable, resilient data pipelines in production.

Strong Python and SQL skills, plus hands-on cloud expertise (GCP, Azure, AWS).

Experience with orchestration tools like Airflow, Dagster or Perfect2

Experience with Apache Spark, Apache Flink, Kafka, Databricks, or similar data engineering tools.

Solid understanding of data architecture trade-offs — latency, throughput, cost, and storage formats like Parquet and Avro.

A passion for data quality, reproducibility, and building maintainable systems, not just “moving data.”

Bonus Points

Experience with sensor data, telemetry, or real-time time-series data.

Familiarity with cloud data warehouse (Snowflake, BigQuery)

Familiarity with ML/AI infrastructure like feature stores, labeling pipelines, or MLOps tooling.

Knowledge of CI/CD, Infrastructure as Code( Terraform), containerization (Docker/Kubernetes), and versioning of data and pipelines.

Why This Role?

Opportunity to influence the future of large-scale data engineering in industries like autonomous systems.

Tackle data challenges at scale with real-world, real-time, high-volume datasets.

Contribute to mission-driven tech with tangible impact (and no, this isn’t adtech).

Join a highly collaborative team of ML, simulation, and data experts.

Enjoy flexible working — hybrid in Gothenburg or fully remote within the EU.

You’re a fit if you’ve:

Built rock-solid, high-performance data pipelines.

Scaled infrastructure to handle complex, high-volume data streams.

Empowered ML teams to move faster with cleaner, more actionable data.

Think you’re the one?

👉 Apply via Yora today — let’s engineer the future of real-world data, together.

About Yora

Yora is a tech hub for sharp minds who want to shape the future of technology – without fitting into a mold.

We’re part of Sigma, but with our own pulse: a growing collective working across AI, cloud, and cyber security. Our focus? Real impact. Smart solutions. And a more human way to work.

At Yora, we believe flexibility isn’t a perk – it’s a baseline. Whether you're neurodivergent, a parent, a night owl, or just someone who thrives outside the 9–5, we design roles and paths that work for you.