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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Warehouse Engineer - **Company:** Jobgether - **Location:** Netherlands (Remote available) - **Experience:** Expert - **Salary:** €12,667.0 - €17,083.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Data Analysis, Apache HTTP Server, Bash Shell, BigQuery, Cloud Computing, Code Review, Information Engineering, Data Infrastructure, Data Systems, Data Visualization, Data Warehousing, DevOps, Python (Programming Language), Machine Learning, Performance Tuning, Query Optimization, Standard Sql, Software Engineering, SQL Databases, Data Streaming, Tableau (Software), Scripting, Cloud Platform System, Snowflake, Indexer, Infrastructure Automation Frameworks, Apache Kafka, Data Management, Vertica, Terraform, Looker Analytics, Software Version Control, Data Pipelines, Confluent, Amazon Redshift, Databricks - **Published:** September 20, 2026 - **Apply:** https://www.adzuna.nl/details/5890843243 ## About the Role The ideal candidate is an experienced data engineer who combines strong technical depth in data warehousing and cloud infrastructure with a collaborative, autonomous approach to solving complex problems. * Extensive experience designing, implementing, and optimizing data warehouses in cloud environments such as AWS or GCP. * Strong hands-on expertise with data modeling and transformation tools, particularly dbt. * Excellent SQL skills and experience working with modern columnar data warehouses such as ClickHouse, Databricks, BigQuery, or Snowflake. * Experience with data pipeline orchestration platforms such as Prefect or Airflow. * Strong understanding of scalable data pipelines, ELT processes, data quality, and warehouse performance optimization. * Experience with modern software engineering practices, including version control, code reviews, testing, and automation. * Familiarity with cloud infrastructure and DevOps practices. * Experience with infrastructure-as-code tools such as Terraform is a plus. * Scripting or automation experience with Bash, Python, or Go is a plus. * Familiarity with business intelligence and visualization tools such as Apache Superset, Sigma, Tableau, or Looker is a plus. * Ability to work independently, take ownership, and make effective decisions in ambiguous environments. * Strong collaboration skills and the ability to work effectively with data scientists, analysts, and software engineers. * Excellent English communication skills for working within a globally distributed team. * Strong problem-solving mindset and enthusiasm for building scalable, efficient, and maintainable data systems. * Experience with technologies such as ClickHouse, Redshift, Confluent Kafka, dbt, Prefect, AWS, Terraform, Apache Superset, or Sigma is valuable. * Must be authorized to work from the location where you reside; visa sponsorship is not available for this position. * Due to regulatory and security requirements, employment may not be available in certain countries. ## Description As a Senior Data Warehouse Engineer, you will help shape the data backbone that supports a high-scale technology platform and enables smarter business decisions. You will architect scalable data warehouses, build reliable pipelines, and ensure data remains accurate, accessible, and performant. The role combines hands-on engineering with close collaboration across data science, analytics, and software engineering teams. You will work with modern cloud data technologies and optimize warehouse infrastructure for both performance and cost efficiency. You will also contribute to developer-facing data tools and establish engineering practices that promote clean, well-structured data. Working within a globally distributed, fully remote environment, you will have significant ownership and autonomy over your work. This is an opportunity to make a direct impact on data infrastructure while working with modern technologies across cloud, streaming, transformation, and analytics. Accountabilities: As a Senior Data Warehouse Engineer, you will own key aspects of the data warehouse and pipeline ecosystem, ensuring scalable infrastructure, reliable data flows, and effective collaboration with teams that depend on high-quality data. * Architect, build, and maintain scalable, high-performance data warehouse solutions that support analytics and operational needs. * Develop reliable and well-documented data pipelines and ELT processes while maintaining strong standards for data quality and consistency. * Design and implement efficient data models and transformations using tools such as dbt and SQL. * Continuously optimize data warehouse performance through query optimization, partitioning, indexing, and other performance-tuning techniques. * Monitor, troubleshoot, and improve warehouse infrastructure while balancing performance, reliability, and cost efficiency. * Partner with data analysts and data scientists to transform raw data into actionable insights and support machine learning initiatives. * Work with modern cloud-based data warehouse technologies, including ClickHouse and other columnar data platforms. * Integrate data warehouse capabilities seamlessly with application and service infrastructure. * Contribute to the development of developer-facing data tools that make data more accessible and useful across engineering teams. * Establish and promote best practices for data engineering, data quality, documentation, testing, and maintainability. * Apply software engineering principles such as version control, code reviews, testing, and automation to data infrastructure. * Support data-driven decision-making by ensuring teams have access to clean, reliable, and well-structured information. * Collaborate effectively across a globally distributed organization and contribute to a strong engineering culture. ## 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) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Find a Developer Job: 12 Best Job Sites For Developers](https://www.wearedevelopers.com/magazine/165-find-a-developer-job-12-best-job-sites-for-developers) - [Best Companies in the Netherlands: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/193-best-companies-in-the-netherlands-top-25-companies-in-2023) - [Software Developer Salary in The Netherlands [2023]](https://www.wearedevelopers.com/magazine/217-software-developer-salary-in-the-netherlands-2023)