Data Engineer

Energy industry software company developing data solutions to help achieve net-zero emissions through technology and data-driven insights.
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience
Enterprise SaaS · Energy

Description For Data Engineer

Gorilla is transforming the energy industry through innovative data solutions aimed at achieving net-zero emissions. As a Data Engineer, you'll be instrumental in developing the company's data infrastructure, designing and maintaining large-scale data pipelines, and implementing high-quality engineering practices. The role combines hands-on technical work with cross-functional collaboration, requiring expertise in Python, cloud technologies, and modern data processing tools.

You'll work in a hybrid environment, primarily from the Antwerp office, collaborating with a talented team of engineers and stakeholders. The position involves building and optimizing ETL pipelines, enhancing data infrastructure using cloud platforms (AWS, Azure, or GCP), and ensuring systems are robust and scalable. You'll use tools like Airflow, DBT, Terraform, and Docker to create efficient data processing solutions.

The company is transitioning from startup to scale-up, maintaining its innovative spirit while building foundations for energy retailers' software and data infrastructure. You'll be part of a product team where engineering, technology, data, architecture, and energy expertise converge. The role offers flexibility in work arrangements, with 1-2 days per week in office for team collaboration.

Benefits include flexible work options, health insurance, generous PTO, career growth opportunities in a rapidly expanding company, and international travel for company gatherings. You'll contribute to meaningful change in the energy sector while working with cutting-edge technology and a passionate team committed to environmental impact.

The ideal candidate brings strong technical skills in data engineering, cloud platforms, and software development, combined with excellent collaboration abilities and a problem-solving mindset. This role offers the opportunity to make a significant impact on both the company's success and the broader goal of achieving net-zero emissions through technology.

Last updated 44 minutes ago

Responsibilities For Data Engineer

  • Design and optimize ETL pipelines and streaming solutions for processing terabytes of data
  • Develop and maintain data systems in cloud environments
  • Work closely with engineering, product, and business stakeholders
  • Implement and manage workflow tools to automate data dependencies
  • Design systems for high availability, low latency, and scalability
  • Modernize existing infrastructure and improve maintainability
  • Create comprehensive documentation for systems and processes

Requirements For Data Engineer

Python
Kubernetes
  • Proven experience in data engineering and building robust data pipelines
  • Strong experience with cloud environments using Terraform, Docker, and Kubernetes
  • Proficiency in Python with solid OOP principles
  • Experience with Airflow and DBT for workflow management
  • Hands-on experience with CI/CD pipelines and infrastructure-as-code
  • Strong collaboration skills
  • Analytical problem-solving mindset

Benefits For Data Engineer

Medical Insurance
  • Flexible work options with hybrid schedule
  • Health insurance coverage
  • Generous PTO allowance
  • Career growth opportunities
  • International travel for company gatherings
  • Best technology for remote work
  • Location-specific mobility benefits

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