
Data Engineer – Cloud Data Analytics
Integrated Worlds GmbH
full-time
Posted on:
Location Type: Hybrid
Location: Bormujos • Spain
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About the role
- Develop and enhance our Azure-based data platform – from the data lake to the analytical frontend
- Design, implement, and operate data pipelines using tools such as Azure Data Factory, Synapse Pipelines, or comparable orchestration tools
- Process large-scale data using Databricks / Apache Spark (PySpark) or similar big data frameworks
- Work with cloud data lakes / object storage (e.g., Azure Data Lake, S3, GCS), including security and access models
- Model analytical data structures (e.g., dimensional models or Data Vault)
- Deliver reports and analytical models via BI and analytics tools such as Power BI, Tableau, or similar solutions
- Ensure data quality, consistency, performance and governance
- Integrate internal and external systems, including B2B and EDI data flows
- Collaborate closely in cross-functional teams, up to the executive level
- With growing experience, take responsibility for architecture decisions, technical guidelines, and sustainable end-to-end solutions.
Requirements
- Several years of professional experience (3+ years) as a Data Engineer or in a comparable role
- Experience in cloud environments, ideally Microsoft Azure
- Hands-on experience with data and analytics technologies
- Strong SQL skills, including complex joins, window functions, and performance optimization
- Experience building analytical data models for reporting and analytics
- Experience with semantic models and performance optimization in BI environments
- Familiarity with business domains
- Experience with B2B/EDI integrations
- Excellent English (B2+) and good German skills (B1+) – desirable
Benefits
- Permanent contract
- Full-time
- Hybrid working
- Company card
- Meal allowance
- Internal and external opportunities for lifelong learning and growth
- Summer party with family and friends
- Christmas party
- Team events
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata pipelinesAzure Data FactorySynapse PipelinesDatabricksApache SparkSQLanalytical data modelsdata qualityperformance optimization
Soft Skills
collaborationcommunicationcross-functional teamworkresponsibilityleadership