Senior Data Engineer

About the role

Welcome to DKB Code Factory….

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Join DKB Code Factory as a Data Engineer and play a key role in building and evolving modern, secure, and scalable data solutions. In this hybrid position in Valencia, you will design and operate reliable data pipelines, integrate diverse data sources, and help ensure high-quality data for analytics, reporting, and AI applications. Working closely with Data Analysts, Data Scientists, Business Analysts, Software Engineers, and Data Architects, you will contribute to a modern data platform that enables data-driven innovation and business decisions.

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- Design, develop, and maintain reliable and scalable data pipelines, including ETL/ELT processes, using Ab Initio for development, workflow orchestration and automation.

- Document ETL processes and ensure compliance with company standards.

- Participate in code reviews and ensure best practices are consistently followed.

- Integrate data from multiple internal and external sources, ensuring efficient and secure data provisioning.

- Design and maintain logical and physical data models in collaboration with Data Analysts and Data Architects.

- Build and maintain data solutions using relational SQL and NoSQL databases, Data Warehouses, Data Lakes, and Lakehouses.

- Monitor, troubleshoot, and optimize data platforms to ensure performance, availability, and operational reliability.

- Implement automated data quality checks, identify root causes of data issues, and ensure consistent and trustworthy data assets.

- Apply Data Governance, Information Security, and compliance requirements, including technical metadata management and audit support.

- Collaborate closely with Data Analysts, Data Scientists, Business Analysts, Software Engineers, and other stakeholders to deliver scalable and maintainable data solutions.

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- Strong SQL skills and experience working with relational (NoSQL databases will be a plus).

- Proficiency in at least one programming language such as Python, Scala, R or Java.

- Hands-on experience designing, developing, and maintaining ETL/ELT pipelines, with practical knowledge of graphical ETL tools like Ab Initio, Informatica, Pentaho or similar.

- Experience in workflow orchestration, scheduling, and monitoring using tools like Apache Airflow or similar.

- Solid understanding of data modeling principles and experience with Data Warehouses, Data Lakes, or Lakehouse architectures.

- Familiarity with cloud platforms such as AWS, Azure, or GCP.

- Experience with DataOps practices, CI/CD pipelines, and automation.