Data Engineer, Dexter

Meteorology

Salary not provided

Docker

Kubernetes

Python

Tensorflow

NumPy

Pandas

Scikit-Learn

PyTorch

Junior, Mid and Senior level

Amsterdam

AI-powered renewable energy forecasting

Job no longer available

AI-powered renewable energy forecasting

21-100 employees

B2BArtificial IntelligenceEnergySustainabilityMachine LearningData Analysis

Job no longer available

Salary not provided

Docker

Kubernetes

Python

Tensorflow

NumPy

Pandas

Scikit-Learn

PyTorch

Junior, Mid and Senior level

Amsterdam

21-100 employees

B2BArtificial IntelligenceEnergySustainabilityMachine LearningData Analysis

Company mission

To enable a sustainable and affordable power system.

Job

Company

Role

Who you are

Bachelor's degree in Computer Science or a related field, or equivalent practical experience
Proven experience working in a professional data engineering or software engineering environment. This experience should involve data-related tasks and responsibilities
Proficiency in at least a portion of the Python data and machine learning ecosystem. This might include libraries and frameworks such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch, depending on the specific requirements of the role
Strong software engineering and problem-solving skills. Data engineering often involves designing and building data pipelines, which requires a robust understanding of software engineering principles for creating efficient, scalable, and maintainable systems
Demonstrated experience in developing containerized data pipelines. Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes can be essential for deploying and managing data pipelines efficiently

What the job involves

This position will be part of the product team within the R&D Department, working closely with Giuseppe Procaccianti (Data Science Manager) and Fons de Leeuw (Lead Meteorological Engineer)
Create and maintain data pipelines used for acquisition and processing of many terabytes of weather data from heterogeneous sources
Work on our in-house cutting-edge weather data library based on TileDB
Improve the high-performance data processing codebase to keep it in line with best practices and improve usability using libraries such as numpy, pandas, scikit-learn, xarray, polars, orchestration and scheduling tools such as Airflow, kubernetes
Research and test new data sources
Build tooling for continuous monitoring and quality control of all data being delivered

Our take

Dexter provides highly accurate energy forecasts to renewable energy producers. Its algorithm analyses current and historic weather data to determine how much electricity windmills and solar panels will generate on a given day. This enables energy companies to reduce imbalances on the grid by determining energy loads, helping companies to optimise their renewable electricity production and consumption.

As the energy market continues to shift, large-scale providers must be able to anticipate changing weather and market conditions. Since the company’s AI-powered software enables companies to manage increasing imbalance costs, Dexter has considerable growth potential as it expands its services across Europe and into the UK.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Jul 2025

$26.6m

SERIES C

Apr 2023

$12.2m

SERIES B

Total funding: $41.1m

Company benefits

Hybrid way of working: Most of us come to the office 2-3 days a week. You can work up to 30 days per year from abroad
Home office: Laptop, monitor, and extra budget for stuff such as headphones or keyboard
Travel expenses covered: NS business card or a Swapfiets subscription
Dog-friendly office: Enjoy the cuddles of your furry friend in our modern and spacious office in Amsterdam
Lunch together: Free office lunches every day and two special, tasty meals each week, cooked by our chef
Fun activities: Vrijmibos, team outings, holiday-themed events, and plenty of other activities to enjoy together

Company HQ

Omval, Amsterdam, Netherlands

Leadership

Luuk Veeken

(CEO)

Former Business Analyst at Yellow & Blue Investment Management. Former World Healthcare Forum Board Member and Founder of the Sustainable Healthcare Challenge.

Hubert Penn

(Co-Founder, CCO & COO)

Former General Manager at WearActive Austria. Previously worked as an Analyst at NPM Capital.

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