08/04/2026 updated
100 % available
Cloud Data Engineer
Oviedo, Spain
Only remote
Bachelor’s Degree in Software Engineering, Master’s Degree in Big Data AnalyticsJava (Programming Language)Amazon Web ServicesData AnalysisAtlassian JiraAutomationMicrosoft AzureFinancial InstitutionBig DataGoogle BigQueryCustomer Relationship ManagementBusiness PlanningBusiness RequirementsCloud ComputingCloud EngineeringCompliance
As a highly skilled Data & Cloud Consultant with over 5 years of experience, I specialize in designing, implementing, and optimizing data-driven solutions for enterprise-level clients. My career has spanned roles in full-stack development, cloud engineering, and big data analytics, allowing me to deliver end-to-end value—from back-end microservices to scalable data platforms in cloud environments. I combine deep technical expertise with leadership, communication, and a strong focus on business impact.
At Capgemini, I worked as a Full-Stack Developer for CaixaBank, one of Spain’s largest financial institutions. I led the development of microservices using Spring Boot, built front-end interfaces in React.js, and played a key role in onboarding and mentoring new developers. I was responsible for creating robust microservice contracts and contributing to agile team management.
Later, at Accenture, I transitioned into the role of Big Data Engineer, working in the cloud migration of a major EuroStoxx 50 bank. I led the Guardrails team, overseeing the design and execution of cost-efficient data pipelines using Apache Spark (Scala) on Azure services like Databricks, Synapse Analytics, and Power BI. I also implemented automation and monitoring solutions on AWS using services such as Lambda, SageMaker, Athena, CloudWatch, and QuickSight, integrating Python/Boto3 scripts for cost control and governance. I worked directly with stakeholders, ensuring clear communication, agile delivery, and strategic alignment with business objectives.
I served as a Senior Cloud Data Engineer at Techsociety – Izertis, where I lead projects for clients such as Viajes El Corte Inglés. My responsibilities include designing data architectures, managing ELT pipelines with BigQuery & Dataform, automating processes via Cloud Functions, ensuring data quality, and implementing secure, lifecycle-aware Datalakes. I also lead technical teams, assign tasks, maintain documentation, and handle direct client engagement for requirement gathering and project scoping. Additionally, I integrate FinOps practices to optimize cloud costs and ensure compliance with security and governance standards.
Since 2024, I’ve also been offering freelance consulting services in Data Governance and Quality Engineering. I currently support Heineken, where I define and measure data quality rules using PySpark, ensure alignment with governance policies, and maintain daily contact with business and technical stakeholders to deliver measurable results.
My passion lies in bridging the gap between data engineering and business needs—delivering secure, scalable, and cost-effective solutions. I'm available for freelance or contract-based collaborations focused on cloud data platforms, governance, data quality, and digital transformation.
Let’s connect and discuss how I can add value to your project.
Experience
Professional experience5 - 10 years
Freelancer since2024
Languages
GermanGoodEnglishFluentSpanishNative speaker
Project history
Responsible for defining strategic direction and technical standards for data quality, cataloging, and governance processes.
Implementation of data governance practices and quality rule measurement using PySpark.
Daily client interaction for requirements gathering and solution delivery.
Definition and monitoring of data quality KPIs to ensure business alignment.
Design and development of data quality dashboards in Power BI, integrating rule execution results and business KPIs for remediation tracking.
Support in audits and strengthening of data governance frameworks.
Implementation and administration of data cataloging and governance models in Collibra, including metadata enrichment, data lineage, and stewardship assignment.
Collaborated with business and technical data owners to ensure end-to-end governance adoption.
Defined remediation workflows and ownership responsibilities based on quality thresholds.
Led workshops with data owners to define quality rules, thresholds and remediation strategies.
Ongoing monitoring and governance reinforcement, ensuring sustainable data quality over time.
Enabled modular onboarding of new data domains with reusable quality patterns.
Improvement of data quality by 30%
Implementation of data governance practices and quality rule measurement using PySpark.
Daily client interaction for requirements gathering and solution delivery.
Definition and monitoring of data quality KPIs to ensure business alignment.
Design and development of data quality dashboards in Power BI, integrating rule execution results and business KPIs for remediation tracking.
Support in audits and strengthening of data governance frameworks.
Implementation and administration of data cataloging and governance models in Collibra, including metadata enrichment, data lineage, and stewardship assignment.
Collaborated with business and technical data owners to ensure end-to-end governance adoption.
Defined remediation workflows and ownership responsibilities based on quality thresholds.
Led workshops with data owners to define quality rules, thresholds and remediation strategies.
Ongoing monitoring and governance reinforcement, ensuring sustainable data quality over time.
Enabled modular onboarding of new data domains with reusable quality patterns.
Improvement of data quality by 30%
Developed Terraform code to provision and manage AWS cloud resources.
Optimized data engineering workflows using AWS Glue Notebooks.
2025 – 2025
Reviewed and enhanced AWS Lambda function code to improve performance and maintainability.
Built end-to-end datasets from RAW to GOLD layers using AWS Glue and AWS Glue Data Catalog.
Implemented data governance and access control policies with AWS Lake Formation.
Extracted business insights through SQL analytics using AWS Athena and AWS Redshift.
Designed and implemented CI/CD pipelines with GitHub Actions to automate Terraform deployments.
Developed Terraform code to provision and manage AWS cloud resources.
Optimized data engineering workflows using AWS Glue Notebooks.
Reviewed and enhanced AWS Lambda function code to improve performance and maintainability.
Built end-to-end datasets from RAW to GOLD layers using AWS Glue and AWS Glue Data Catalog.
Implemented data governance and access control policies with AWS Lake Formation.
Extracted business insights through SQL analytics using AWS Athena and AWS Redshift.
Designed and implemented CI/CD pipelines with GitHub Actions to automate Terraform deployments.