About the Company

¿Quiere presentar una candidatura? Asegúrese de que su CV está actualizado y luego lea atentamente las siguientes especificaciones del puesto antes de solicitar.

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- We are digital natives and technology‑neutral thanks to our rapid adaptation capabilities and problem‑solving skills in any business situation.

- We are passionate about technology challenges that have a significant impact on business. To address these, we have high‑performance teams and the ability to quickly and effectively combine technologies.

- We support our clients in their digital evolution to achieve maximum efficiency in their businesses, leveraging our extensive multi‑sector experience.

We invite you to get to know us in depth by exploring the various sections of our website.

What will you do?

You will lead the design, development, and maintenance of scalable and efficient data pipelines in AWS. Your work will be essential to ensure the availability, quality, and governance of the data that drives our strategic decisions.

Specifically, you will:

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- Design and implement data architectures using AWS services such as S3, Glue, Redshift, EMR, Lambda, Athena, among others.

- Build and maintain robust, automated ETL/ELT pipelines.

- Integrate data from multiple sources (APIs, databases, files, etc.), ensuring its quality and traceability.

- Collaborate with Data Science, BI, and Product teams to understand data needs and deliver technical solutions.

- Optimize performance of data ingestion and transformation processes.

- Apply best practices for data security, governance, and regulatory compliance.

- Document processes and uphold high development standards.

Essential Skills

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- Minimum of 5 years of experience as a Data Engineer, with a strong focus on AWS or Azure.

- Proficiency in programming languages such as Python and SQL.





- Hands‑on experience with Databricks (Apache Spark) for large‑scale data processing, ETL/ELT pipelines, and data preparation for analytics and machine learning.

- Experience with orchestration tools like Apache Airflow or AWS Step Functions.

- Solid understanding of data modeling, data lakes, and data warehouses.

- Experience with data governance and metadata management tools, such as Microsoft Purview, including data cataloging, lineage, and data classification.

- Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.

- Familiarity with Agile methodologies and DevOps practices.

- Strong technical English skills.

Nice to Have

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- Official AWS certifications (e.g., Data Analytics, Solutions Architect, etc.).

- Experience with streaming tools such as Kinesis or Kafka.

- Knowledge of Big Data technologies like Spark or Hadoop.

- Experience working in multi‑cloud or hybrid cloud environments.

What do we offer you?

We provide a learning‑oriented environment with professional development through training, tech breakfasts, and conference attendance. A personal budget keeps you current with market trends. We care about well‑being and work‑life balance, supported by flexible hours and a unique human environment. xcskxlj

Benefits Highlights

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- Professional Training & Certifications

- Versátil hours

- Special timetable: Fridays and summer 7h

- Health insurance

- Every three years, six extra days off

- Day off on your birthday

- Bring a friend and benefit from it

- Flexible Compensation

- Wellness - Gympass

- Volunteering opportunities

- Company Events And Team Buildings

Loyal to our commitment with diversity and inclusion, we encourage everybody to apply, especially those belonging to underrepresented groups such as LGTBIQ+ members and those with disabilities.

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📌 Senior Data Engineer (Madrid)
🏢 INNOCV Solutions
📍 Madrid