Senior data engineer
Work with our energy trading team to build data and ML products
Enable forecasting processes by ensuring that the necessary data is made available in a timely and efficient manner
Utilize tech and data to simplify, automate, and streamline complex trading processes
Why choose Eneco?
At Eneco, we're accelerating the energy transition with our 'One Planet plan', aiming to be the first CO2-neutral energy company by 2035. We're committed to helping everyone take the next sustainable step towards smarter, cleaner, and more sustainable energy.
We're looking for talented individuals who are passionate about our mission of 'sustainable energy for everyone'. By joining our data team, you'll contribute directly to Eneco's digital innovations, playing a crucial role in our journey towards a more sustainable future. Our department is dedicated to developing these innovations, with data at the heart of our efforts.
What You’ll Do
As a Senior 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 with senior-level expertise in Databricks and Snowflake, with hands-on experience using Snowflake Snowpipe and Databricks Autoloader.
Is this about you?
Must-have:
3+ years of experience with distributed data processing: Apache Spark, Beam, Flink, Kafka
Hands-on experience with Databricks Autoloader and Snowflake Snowpipe
Understanding of data management, including schema evolution and storage formats like Parquet, Delta, or Iceberg
Proficiency in a programming language (Java, Python, Scala, etc.)
Knowledge of software engineering best practices: code reviews, version control, testing, and CI/CD
Nice-to-have:
Experience deploying applications to Kubernetes, with skills in monitoring and debugging
Experience with a cloud provider (e.g., Azure)
Familiarity with SRE principles
Proficiency in SQL and dbt
You’ll be responsible for
Setting up projects and leading technical decisions involving Snowflake Snowpipe and Databricks Autoloader
Architecting and implementing a platform to efficiently handle, store, process, and utilize data from various sources, such as customer data, smart meters, wind turbines, solar panels, power plants, and IoT devices
Ensuring our solutions are robust, scalable, and ready to meet future challenges
Empowering other departments by making data accessible and usable, driving Eneco’s digital innovations forward
This is where you’ll work
You'll be working together with Machine Learning Engineers, Data Scientists and Data Analysts. We encourage learning, actively seek out collaboration, celebrate successes, and learn from failures.
What We Have To Offer
Work that works for you and the climate
If you decide on a career at Eneco, you are choosing ambition, growth and opportunities. You will have all the space you want to improve yourself and do your job the way that suits you best, which includes having a good work-life balance. You can work to a flexible schedule and work partly from home if your role allows it.
That is how you can work on your own future and on the future of the world. After all, you and your 4,000 colleagues are committed to our mission: climate neutrality by 2035. We assist customers to accelerate their sustainability efforts, devise innovative solutions and seize opportunities with both hands. Are you ready?
The stages of our application procedure:
Stap 1 Your application
Stap 2 We carefully review your application
Stap 3 We invite you for a 1st (online) interview
Stap 4 Sometimes we want to get to know you even better, then there will be an online assessment and a 2nd interview
Stap 5 Yes! If it’s a match and if you agree, the recruiter will happily discuss your job offer
Want to know more about this job function?
For more information please reach out to our recruiter, see contact details below.
With this job opening, we want to recruit a new Eneco colleague ourselves. This is not a call for acquisition.
