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Senior Data Engineer role in Data & Analytics, Group Digital to build trusted data platforms and pipelines that power the intelligence engine guiding IKEA's multi-billion euro expansion. The position involves working in cross-functional product teams to deliver trustworthy, timely, and well-modeled data that powers expansion strategy products used by markets worldwide.
Job Responsibility:
Build Expansion360, the expansion data platform
Architect and operate data pipelines on GCP to ingest and harmonize internal and external data
Define canonical models, shared schemas, and data contracts as single source of truth
Enable interactive maps and location analytics through geospatial processing at scale
Deliver curated marts and APIs that power scenario planning and product features
Implement CI/CD for data, observability, access policies, and cost controls
Contribute to shared libraries, templates, and infrastructure-as-code
Requirements:
5+ years of hands-on building production data systems
Experience designing and operating batch and streaming pipelines on cloud platforms (GCP preferred)
Proficiency with tools like BigQuery, Dataflow/Beam, Pub/Sub (or Kafka), Cloud Composer/Airflow, and dbt
Fluent in SQL and production-grade Python/Scala for data processing and orchestration
Understanding of data modeling (star/snowflake, vault), partitioning, clustering, and performance at TB-PB scale
Experience turning ambiguous data needs into robust, observable data products with clear SLAs
Comfort with messy external data and geospatial datasets
Experience partnering with Data Scientists to productionize features, models, and feature stores
Ability to automate processes, codify standards, and champion governance and privacy by design (GDPR, PII handling, access controls)
What we offer:
Intellectually stimulating, diverse, and open atmosphere
Collaboration with world-class peers across Data & Analytics, Product, and Engineering
Opportunity to create measurable, global impact
Modern tooling on Google Cloud Platform
Hardware and OS of your choice
Continuous learning (aim to spend ~20% of time on learning)
Flexible, friendly, values-led working environment
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