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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior Data Engineer - **Company:** BUX - **Location:** Amsterdam, Netherlands - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon S3, Data Analysis, Automation of Tests, Cloud Engineering, Software Quality, Continuous Integration, Directed Acyclic Graph (Directed Graphs), Information Engineering, Data Infrastructure, Data Transformation, Data Warehousing, Relational Databases, Github, Python (Programming Language), PostgreSQL, SQL Databases, Data Ingestion, Snowflake, Git, Data Layers, Kubernetes, Apache Kafka, Terraform, Software Version Control, Docker - **Published:** August 4, 2026 - **Apply:** https://nl.indeed.com/viewjob?jk=f79dfc7cf249b890 ## About the Role * You have 1-2 years of experience in data engineering, analytics engineering, or a closely related discipline, with a track record of collaborative problem-solving. * Solid fundamentals in Python and SQL, alongside comfort with version control (Git), writing basic automated tests, and interacting with HTTP APIs. * General understanding of foundational cloud architecture and infrastructure concepts. * Practical, hands-on experience (e.g. using dbt) for structuring data transformation layers, including staging/mart layering, sources, tests, and documentation. * A clear grasp of workflow orchestration concepts (such as Airflow), understanding DAGs, task dependencies, scheduling, retries, and the importance of idempotency. * Comfortable working with relational databases or data warehouses (Postgres, Snowflake, or similar) to write queries, design schemas, and handle data quality issues like nulls, duplicates, and freshness checks. * You are curious and comfortable asking for help. You welcome constructive feedback and actively contribute to the team's code quality. * You bring the critical eye needed to rigorously test and verify all logic, including AI-assisted code, before deployment., * Familiarity with Docker and how applications run on Kubernetes (GKE). * Basic exposure to Terraform and understanding how cloud environments are provisioned as code. * Initial exposure to high-throughput messaging (Kafka, Pub/Sub) or working with cloud object storage frameworks (GCS, S3). * A basic understanding of continuous integration pipelines (like GitHub Actions) and the concept of how code changes safely transition from a local machine to a production environment. ## Description As a Junior Data Engineer at BUX, you will be a key builder of the analytics-ready data layer that powers our product decisions and business growth. You won't just write queries; you will build well-tested data ingestion scripts and transform raw data into high-quality, reliable data products. You will join the Data & AI team, collaborating closely with Analytics Engineers, Product stakeholders, and our Data Platform Engineers to leverage our scalable, self-service infrastructure safely. Your mandate focuses on execution and reliability: writing clean, testable code, owning the data quality of your pipelines, and documenting as you go. This is a role designed for growth, where curiosity, coachability, and an engineering-first mindset will serve as the foundation for your evolution into advanced analytics architecture or infrastructure-focused engineering tracks. What you will do * Build Reliable Ingestions: Build and maintain robust data ingestion scripts to pull data from APIs, servers, or files into raw/staging tables. You ensure correct handling of retries, incremental/idempotent loads, and graceful error management. * Model with dbt: Grow our analytics-ready data layer by building and maintaining clean staging and mart models with clear naming, documentation, and automated tests, focusing on simplicity and readability before optimisation. * Support Orchestration: Extend and troubleshoot our existing workflow orchestration frameworks (Airflow). You will add tasks to existing DAGs, fix failing runs, and grow into mastering dependency, scheduling, and retry behaviour. * Champion Data Quality: Own pipeline and model health by adding and monitoring data quality checks (freshness, volume anomalies, null/duplicate validations) and investigating data discrepancies flagged by different stakeholders. * Document & Accelerate: Write clean code, maintain useful READMEs, and leverage AI-assisted development tools to speed up drafting while taking full ownership of verifying correctness before pushing to production. * Grow your ownership: Build a solid track record with data modelling, testing, and pipeline reliability as a foundation for growing into orchestration design, platform topics, and broader engineering responsibilities over time. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [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) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [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) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)