Senior Data Engineer

Spain·Valenciasenior

Data EngineerData

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Quick Summary

Key Responsibilities

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

Requirements Summary

[ Strong SQL skills and experience working with relational (NoSQL databases will be a plus). Proficiency in at least one programming language such as Python, Sca

Technical Tools

Data EngineerData

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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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Responsibilities

~1 min read

→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.

Got the feeling not to match every single requirement? Don’t worry! We encourage you to apply anyways, even if your qualifications do not align perfectly. You might still be just the right candidate for us!

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From Morning Daily to Afterwork Drink, team spirit is essential to us. The heart of our togetherness is that we truly are connected with each other: We not only share fun & laughter, but also honest opinions - because that's how we grow: We exchange ideas, give support in our personal development, and celebrate success together! Besides our great community, we also offer numerous other benefits...

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Requirements

~1 min read

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.
Knowledge of APIs, interfaces, and data integration patterns.
Understanding data quality, validation, monitoring, and performance optimization.
Awareness of Data Governance, Information Security, and data protection requirements.
Strong analytical and problem-solving skills, with a focus on building reliable, scalable, and maintainable solutions.
Excellent communication skills and a collaborative mindset, with the ability to work effectively across technical and business teams.
Curiosity, ownership, and a commitment to continuous learning and improvement.
Professional working proficiency in English required; German is a plus!