Senior Data Engineer - Remote, Build Analytics Pipelines

DEMA; Stockholms kommun; Hybrid; SEK 700,000 - 1,100,000; Full time

Job summary

Dema is seeking a Senior/Staff Data Engineer to design, build, and maintain systems powering our commerce analytics platform. You will influence data flows, scalable infrastructure, and product features that turn complex data into clear insights.

We embrace AI-assisted development and expect engineers to explore tools that speed up delivery while improving quality. Remote or hybrid work is supported, with high ownership and fast production exposure.

Qualifications

• Hands-on experience with large-scale data platforms and analytics.
• Proven ability to design and optimize data models and contracts (Avro).
• Experience in streaming pipelines, batch orchestration, and lakehouse storage.
• Familiarity with Iceberg, ClickHouse, and modern analytical warehouses is a plus.
• Strong grasp of data contracts, schema evolution, and observability.

Responsibilities

• Designing and evolving data models across layers and contracts (Avro).
• Build and maintain streaming pipelines with Flink and Kafka, with health checks.
• Manage Iceberg lake and ClickHouse warehouse for partitioning and performance.
• Batch processing and orchestration with Prefect; flow design and tuning.
• Model metrics, dimensions, marts; ensure trustworthy analytics.
• Implement IaC using Terraform, Kubernetes, and Helm; manage cloud infra.
• Enhance observability with OpenTelemetry and custom metrics.

Skills

Big data fundamentals

Stream processing

Batch processing

Lakehouse formats

Analytical warehouses

Data modeling concepts

Cloud infrastructure

Engineering habits

Tools

Apache Flink

Kafka

Iceberg

Kubernetes

Terraform

Airflow

Cloud platforms (AWS/GCP/Azure)

Job description

Dema is seeking a Senior/Staff Data Engineer to design, build, and maintain systems powering our commerce analytics platform. You will influence data flows, scalable infrastructure, and product features that turn complex data into clear insights.

We embrace AI-assisted development and expect engineers to explore tools that speed up delivery while improving quality. Remote or hybrid work is supported, with high ownership and fast production exposure.