Data Engineer

Energy industry technology company developing data solutions to drive net-zero emissions through software applications 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 cutting-edge data solutions aimed at achieving net-zero emissions. As a Data Engineer, you'll be instrumental in developing and maintaining the company's data infrastructure, designing 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 engineering tools.

You'll work in a hybrid environment, collaborating with teams primarily based in Antwerp, with flexibility to work remotely 3-4 days per week. The position offers the opportunity to directly impact the evolution of energy retail software and data infrastructure, while working with talented and opinionated professionals who are passionate about driving the company's vision forward.

The role demands strong technical skills in data engineering, cloud platforms, and DevOps practices, along with the ability to work effectively across teams. You'll be responsible for designing and optimizing ETL pipelines, enhancing data infrastructure, and ensuring systems are robust and scalable. The position offers significant growth potential as the company scales, with opportunities to influence both technical architecture and business outcomes.

Benefits include flexible work arrangements, comprehensive health coverage, generous PTO, and regular international company gatherings. The company culture emphasizes lifelong learning and personal growth, making it an ideal environment for professionals who want to make a meaningful impact in the energy sector while advancing their careers. The role combines technical challenges with the satisfaction of contributing to environmental sustainability through technology.

Last updated 4 days 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
Vision Insurance
Dental Insurance
  • Flexible work options
  • Best technology for remote work
  • Generous PTO allowance
  • Health insurance coverage
  • Career growth opportunities
  • International travel for company gatherings
  • Location-specific mobility benefits

Interested in this job?

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