Junior Data Engineer: Build Reliable Data Pipelines

BUX B.V.; Amsterdam; Hybrid; EUR 40,000 - 60,000; Full time

Job summary

BUX B.V. in Amsterdam is seeking Junior Data Engineers to help build analytics-ready data layers powering product decisions and business growth.

You will implement robust data ingestion scripts and transform raw data into reliable data products, collaborating with Analytics Engineers, Product stakeholders, and Data Platform Engineers in a scalable self-service environment. The role emphasizes execution, reliability, clean code, thorough testing, and data quality checks, with growth into

Qualifications

• 1–2 years of experience in data/analytics engineering or related field.
• Strong Python and SQL fundamentals; comfortable with Git and basic automated tests.
• Hands-on experience with dbt for staging/mart layering, tests, and documentation.
• Solid understanding of workflow orchestration concepts (Airflow) and DAGs.
• Familiar with relational data warehouses (Postgres, Snowflake) and data quality basics.

Responsibilities

• Build reliable data ingestion scripts pulling data from APIs, servers, or files into raw/staging tables with idempotent loads.
• Develop and maintain dbt models (staging and mart) with clear naming, docs, and tests.
• Extend and troubleshoot Airflow DAGs; manage dependencies, scheduling, retries.

Skills

Python

SQL

Git

APIs

dbt

Airflow

Tools

Docker

Kubernetes

Terraform

Job description

BUX B.V. in Amsterdam is seeking Junior Data Engineers to help build analytics-ready data layers powering product decisions and business growth.

You will implement robust data ingestion scripts and transform raw data into reliable data products, collaborating with Analytics Engineers, Product stakeholders, and Data Platform Engineers in a scalable self-service environment. The role emphasizes execution, reliability, clean code, thorough testing, and data quality checks, with growth into