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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Jobgether - **Location:** Netherlands (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Data Analysis, Computing Platforms, Code Review, Data as a Services, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, SQL Databases, Data Processing, Amazon Relational Database Service, Data Pipelines, Amazon Redshift - **Published:** August 15, 2026 - **Apply:** https://www.adzuna.nl/details/5843243768 ## About the Role * 5+ years of professional experience in Data Engineering or a closely related field. * Strong expertise in SQL and relational database technologies. * Hands-on experience with AWS data services, particularly Amazon Redshift and Amazon RDS. * Proven experience developing, maintaining, and troubleshooting Apache Airflow workflows. * Strong understanding of ETL concepts, data pipeline design, and scalable data processing. * Experience designing scalable data warehouse architectures and analytical data models. * Ability to independently investigate complex production issues, identify root causes, and implement effective solutions. * Strong understanding of data quality, reliability, monitoring, and operational best practices. * Excellent communication and stakeholder management skills, with the ability to work effectively with technical and non-technical colleagues. * Proactive, accountable, and ownership-oriented approach to engineering work. * Comfortable working in Agile software development environments and contributing to collaborative technical discussions. * Strong problem-solving and analytical abilities, with an interest in continuously improving systems and processes. * Remote-first environment: Work remotely with flexibility designed around distributed collaboration. ## Description This is a remote-first opportunity for an experienced Data Engineer to help design and evolve a scalable analytics platform. You will build robust data pipelines using a modern Zero-ETL approach while ensuring data quality, reliability, and availability across the organisation. The role combines hands-on engineering with architectural thinking, performance optimisation, and operational excellence. You will work closely with Data Analysts and business stakeholders to create trusted datasets that power reporting, analytics, and informed decision-making. You will also have the opportunity to improve engineering standards, automation, monitoring, and platform architecture. This is a strong fit for an ownership-driven engineer who enjoys solving complex data challenges in a flexible, collaborative environment. Accountabilities * Design, develop, maintain, and continuously improve scalable Zero-ETL data pipelines supporting organisation-wide analytics. * Build, optimise, and maintain data models and analytical workloads in Amazon Redshift. * Develop and manage workflow orchestration using Apache Airflow, ensuring reliable and maintainable data processing. * Integrate data from multiple internal and external sources while maintaining consistency, availability, and reliability. * Establish and maintain high standards for data quality, accuracy, consistency, and platform availability. * Monitor, troubleshoot, and resolve data platform issues, taking ownership from initial identification through root-cause analysis and resolution. * Optimise SQL queries, data processing workloads, and data warehouse performance to improve efficiency and scalability. * Design scalable data models that support reporting, business intelligence, and analytical use cases. * Partner with Data Analysts and business stakeholders to deliver reliable, well-structured datasets and data solutions. * Contribute to improvements in data architecture, automation, monitoring, documentation, and engineering best practices. * Maintain clear technical documentation covering pipelines, data models, workflows, and platform architecture. * Participate in technical planning, architecture discussions, code reviews, and Agile development processes. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Are Code Reviews Worth It? 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