Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
API @ 3
AWS @ 3
CI/CD @ 3
Data Engineering
Data Modeling @ 3
Data Science @ 2
Databricks @ 1
Debugging @ 3
DevOps @ 3
FastAPI @ 3
Grafana @ 3
IaC
Java @ 5
Kubernetes @ 3
MLOps @ 2
Machine Learning
NoSQL @ 3
PostgreSQL
Python @ 5
RDBMS @ 3
SQL @ 5
SRE @ 3
Scala @ 5
Snowflake @ 5
Spark @ 3
dbt @ 5
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Why choose Eneco?
The One Planet strategy we are committed to here at Eneco sets an ambitious goal to be climate neutral by 2035. We want to achieve that goal for both us and our clients. To make it happen, we are dedicated to offering our customers innovative digital capabilities and smart solutions. Our Digital Core team is working towards creating an exceptional online customer experience, through modernizing the Eneco chat, app and web environments. We are striving to deliver a superior digital customer experience that will stimulate and make it easier for our customers to become greener every day.
What you’ll do
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.
- Experience deploying applications to Kubernetes, with skills in monitoring (Grafana) and debugging.
- Knowledge with cloud provider (e.g. AWS). Infrastructure as code (IAC) is a plus.
- Experience with NoSQL databases (e.g. DynamoDB) and RDBMS (e.g. Postgres).
- Proficiency in SQL and DBT (Data Build Tool) with Snowflake.
- Familiarity or interest with MLOps and data science techniques.
You’ll be responsible for
- 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
This is where you’ll work
You will be working together with other Data Engineers, Machine Learning Engineers, Data Scientists and Data Analysts. Together, you will shape IOT products that will transform how our consumers use their energy. Within the team, we encourage learning, actively seek out collaboration, celebrate successes, and learn from failures.
What we have to offer
Gross annual salary between €83,000 and €117,000
Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing.
FlexBudget
Have it paid out, use it to buy extra holiday days or save it up for something nice, it’s up to you.
Personal and professional growth
Eneco is fully committed to help you in your personal and professional development.
Hybrid working: home, office or abroad
Work 40% at the office, 40% from home, and 20% flexibly. With manager approval, you may work abroad (within approved countries) up to 3 weeks/year, max 2 consecutively.
Work Where Everyone Matters
When you choose a career at Eneco, you choose ambition, growth, and opportunity in an environment where everyone matters. You’re given the space to develop yourself and to do your work in a way that suits you. We believe that different perspectives, nationalities, and backgrounds make us stronger, which is why we foster an open, safe and inclusive culture. Naturally, we also prioritize a healthy work-life balance, flexible working hours, and the option to work from home when your role allows it. If you have a physical or sensory disability, we will work with you to find the right adjustments so you can perform your job well.
This is how you build your own future and a sustainable future at the same time. Together with 4,000 colleagues, each with their own talents and ideas, you work on our shared mission: speeding up the energy transition. We help customers become more sustainable faster, create innovative solutions, and seize new opportunities. Will you join us?