ph3About the Company /h3 ul liWe are digital natives and technology‑neutral thanks to our rapid adaptation capabilities and problem‑solving skills in any business situation. /li liWe 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. /li liWe support our clients in their digital evolution to achieve maximum efficiency in their businesses, leveraging our extensive multi‑sector experience. /li /ul pWe invite you to get to know us in depth by exploring the various sections of our website. /p h3What will you do? /h3 pYou 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. /p h3Specifically, you will: /h3 ul liDesign and implement data architectures using AWS services such as S3, Glue, Redshift, EMR, Lambda, Athena, among others. /li liBuild and maintain robust, automated ETL/ELT pipelines. /li liIntegrate data from multiple sources (APIs, databases, files, etc.), ensuring its quality and traceability. /li liCollaborate with Data Science, BI, and Product teams to understand data needs and deliver technical solutions. /li liOptimize performance of data ingestion and transformation processes. /li liApply best practices for data security, governance, and regulatory compliance. /li liDocument processes and uphold high development standards. /li /ul h3Essential Skills /h3 ul liMinimum of 5 years of experience as a Data Engineer, with a strong focus on AWS or Azure. /li liProficiency in programming languages such as Python and SQL. /li liHands‑on experience with Databricks (Apache Spark) for large‑scale data processing,



ETL/ELT pipelines, and data preparation for analytics and machine learning. /li liExperience with orchestration tools like Apache Airflow or AWS Step Functions. /li liSolid understanding of data modeling, data lakes, and data warehouses. /li liExperience with data governance and metadata management tools, such as Microsoft Purview, including data cataloging, lineage, and data classification. /li liExperience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. /li liFamiliarity with Agile methodologies and DevOps practices. /li liStrong technical English skills. /li /ul h3Nice to Have /h3 ul liOfficial AWS certifications (e.g., Data Analytics, Solutions Architect, etc.). /li liExperience with streaming tools such as Kinesis or Kafka. /li liKnowledge of Big Data technologies like Spark or Hadoop. /li liExperience working in multi‑cloud or hybrid cloud environments. /li /ul h3What do we offer you? /h3 pWe 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 versátil hours and a unique human environment. /p h3Benefits Highlights /h3 ul liProfessional Training Certifications /li liFlexible hours /li liSpecial timetable: Fridays and summer 7h /li liHealth insurance /li liEvery three years, six extra days off /li liDay off on your birthday /li liBring a friend and benefit from it /li liFlexible Compensation /li liWellness - Gympass /li liVolunteering opportunities /li liCompany Events And Team Buildings /li /ul pLoyal 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. /p /p #J-18808-Ljbffr

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