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# Full-Stack Data Engineer

- **Company:** Eneco
- **Location:** Rotterdam, Netherlands (Remote available)
- **Experience:** Expert
- **Salary:** €6,917.0 - €9,750.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Architectural Patterns, Cloud Computing, Code Review, Continuous Integration, DevOps, Python (Programming Language), Cloud Services, Scala (Programming Language), Software Construction, Software Deployment, SQL Databases, Data Streaming, Data Processing, Snowflake, Data Build Tool (dbt), Apache Spark, Infrastructure as Code (IaC), Fastapi, Data Analytics, Data Management, Machine Learning Operations, Restful APIs, Software Version Control, Databricks
- **Published:** October 10, 2026
- **Apply:** https://www.jobbird.com/nl/vacature/25529310-full-stack-data-engineer

## About the Role

As a Full Stack Data Engineer, you will play a crucial role in setting up and leading technical decisions for our cloud-based data platform. We are specifically looking for someone that will contribute to a combination of Cloud Infrastructure setup, maintain API server, and develop streaming / batch Data processing pipeline. You will be working on an exciting IOT product (smart thermostat, energy insight, smart charging) for our consumers.
Is this about you?

 * Must Have:
 + Previous experience of REST API development (e.g. Spring or FastAPI).
 + Understanding of streaming data ingestion and processing.
 + Previous experience working with MPP data platforms such as Spark. Working experience using Databricks and Unity Catalog is a plus.
 + Proficiency in programming languages (Java, Scala, and Python).
 + Knowledge of software engineering best practices: code reviews, version control, testing, and CI/CD
 + Genuine interest in DevOps/SRE principles for production deployment.
Nice to Have:

 + Working experience with high volume time series data.
 + Knowledge of data modeling and architecture patterns.
+

 + Knowledge with cloud provider (e.g. AWS). Infrastructure as code (IAC) is a plus.
+

 + Proficiency in SQL and DBT (Data Build Tool) with Snowflake.
 + Familiarity or interest with MLOps and data science techniques.

## Description

* Setting up projects and leading technical decisions involving real time time-series data in Databricks (scala) environments.

 * Empowering other departments by making data accessible and usable, driving Eneco's digital innovations forward.

 * Design and implement cloud solutions to handle product requirements.

 * Shape the product by providing technical advice to the product manager or other team.

 * Ensuring our solutions are robust, scalable, cost efficient and ready to meet future challenges