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# Data Engineer

- **Company:** Super Technologies
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, BigQuery, Cloud Engineering, Code Review, Databases, Data Architecture, Data Governance, Data Mart, Data Warehousing, Distributed Data Store, Python (Programming Language), Software Architecture, Standard Sql, Data Streaming, Workflow Management Systems, Snowflake, Multi-Cloud, Data Layers, Apache Kafka
- **Published:** August 15, 2026
- **Apply:** https://es.trabajo.org/oferta-4111-704cc55244c361dd3dbb06eef56c887a

## About the Role

data warehouses such as Snowflake or BigQuery. Hands-on experience with cloud platforms (AWS preferred; Azure/GCP also valuable). Workflow orchestration experience with Airflow or similar tools. Strong ownership mindset - able to work independently, structure work, and partner effectively with technical and non-technical stakeholders. Excellent communication skills with a collaborative, problem-solving approach. Based in Madrid or surrounded area, as this role requires hybrid working. Nice to have Experience with real-time streaming technologies such as Kafka or similar. Experience with cloud-native analytical databases such as Snowflake. Multi-cloud exposure and understanding of platform trade-offs. Background in product-led or experimentation-driven environments. Experience with data governance, cataloguing, and documentation practices (e.g. DataHub). What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development Additional

## Description

involves Design, build, and optimise scalable ETL/ELT pipelines for high-volume, fast-changing datasets. Apply proven data warehouse methodologies (e.g. Kimball, Inmon) to design and deliver trustworthy, performant data models. Develop and maintain semantic layers and curated data marts to enable analytical self-service across the company. Orchestrate reliable workflows with modern tooling such as Apache Airflow. Enforce data quality, lineage, and observability practices to ensure confidence in our data products. Partner with product, analytics, and engineering teams to co-create scalable data solutions that deliver measurable business value. Raise the engineering bar through code reviews, testing, automation, and architectural improvements. What we are looking for Strong SQL and Python skills, with solid understanding of distributed data systems and modern data architectures. Deep knowledge of dimensional data modelling (Kimball, Inmon) and hands-on experience building analytical layers in


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