Senior Cloud Data Engineer responsible for operating and optimizing cloud - based data environments. Collaborating with analytics teams and specializing in AWS, Databricks, and Spark technologies.
About the role
- Data Platform Lead at TF Bank responsible for designing a cloud-native data platform. Overseeing architecture, governance, and data quality across the bank in Málaga.
Responsibilities
- Lead the design, development, and operation of Avarda’s modern data platform, ensuring it is cloud-native, event-driven, and fit for both operational and analytical use cases.
- Define and enforce data contracts, standards, and documentation to provide trusted, reusable, and accessible data products.
- Build and maintain the canonical “single view of the consumer” that underpins both analytics and production systems.
- Establish practical governance practices for metadata, lineage, and data quality across domains.
- Collaborate with the Product Manager for Shared Services and senior stakeholders (Engineering, Analytics, Country Managers) to align platform capabilities with business needs.
- Balance compliance and innovation by working with the Data Protection Officer and Compliance to ensure data privacy and regulatory requirements are met.
- Contribute hands-on to development, ensuring the right technical patterns and tools are adopted.
- Mentor engineers and promote best practices in data modeling, event-driven design, and cloud-native development.
- Author and maintain technical documentation and architecture decision records to support transparency and scalability.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- 5+ years of professional experience in data engineering or platform engineering, with at least 2 years in a senior or lead role.
- Proven expertise designing and implementing cloud-native, event-driven data platforms (Azure, AWS, or GCP).
- Strong skills in data modeling, ETL/ELT pipelines, and streaming architectures (e.g., Kafka, Event Hubs).
- Experience with metadata management, lineage, and data quality frameworks.
- Solid understanding of microservices, APIs, and data product thinking.
- Proficiency in SQL and at least one modern programming language (Python, Scala, Java, .NET).
- Familiarity with DevOps practices including CI/CD pipelines, containerization, and infrastructure-as-code.
- Excellent communication and stakeholder management skills, with the ability to bridge business and technical domains.
Benefits
- Health insurance
- Professional development opportunities
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