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Gorilla - Energy data applications

Software Engineer - Data Platform

Posted Yesterday
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UK
Mid level
UK
Mid level
The Software Engineer will enhance a data platform on AWS, develop services for data access, and ensure system reliability and security while collaborating with cross-functional teams.
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Join us at Gorilla and be part of a mission to transform the energy industry. At Gorilla you'll play a vital role in developing cutting-edge data solutions that drive us towards a net-zero future. Our focus is on crafting efficient, reliable, and flexible software applications to tackle the unique challenges of data processing and analysis in the energy sector. Together, we're not only driving digital transformation and maximizing ROI for our clients but also contributing to the global effort of achieving net-zero emissions through technology and data-driven insights

Your Role

You will take ownership of maintaining and improving our in-house Data Platform built on AWS cloud. As a key member of our engineering team, you will design, build, and deploy services on top of the platform, enabling other teams to efficiently access and leverage data for their applications and projects. Your expertise in software engineering and cloud computing will drive the scalability, security, and reliability of our data infrastructure.

  • Maintain, enhance, and shape the next generation of our AWS-based data platform.

  • Design and implement new services and features to meet the needs of both clients and internal teams.

  • Collaborate with data engineers and other stakeholders to ensure data availability, reliability, and scalability.

  • Build infrastructure and automation to support deployment, monitoring, and maintenance using DevOps best practices.

  • Write clean, maintainable, and efficient code to improve platform functionality and performance.

  • Take ownership of the full service lifecycle: from design and development to deployment and support.

  • Ensure the security and high availability of the platform and the services built upon it.

  • Troubleshoot and resolve issues while continuously working to improve system efficiency and reliability.

What You'll Need

  • Strong background in software engineering, with expertise in cloud computing and DevOps practices.

  • Hands-on experience in building, deploying, and maintaining services in AWS (e.g., EC2, Lambda, S3, RDS, Redshift).

  • Proficiency in programming languages such as Python (preferred), Java, or Go.

  • Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).

  • Experience in designing and implementing scalable, secure, and high-performance data services.

  • Familiarity with CI/CD pipelines and automated testing best practices.

  • Ability to manage complex systems and troubleshoot production issues effectively.

  • Experience working in an agile, cross-functional team environment.

Nice to Have

  • Experience with big data tools such as Apache Spark, Kafka, or data platforms like Databricks or Snowflake.

  • Knowledge of data governance, security best practices, and handling large data sets (e.g., Iceberg, Delta Lake).

  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

If you are a proactive, innovative, and results-driven engineer passionate about building scalable, data-driven systems and services, we’d love to hear from you!

About the Product Team

Moving from a startup to a scale-up we are keeping our innovative spirit whilst we build the foundations of tomorrow's energy retailers software and data infrastructure. Product is the foundation of our company and needs to perform at a top level to make our vision a success. Product is driven by many talented and opinionated people who are eager to drive our vision forward. It is the place where engineering, technology, data, architecture and energy expertise come together to make a difference.

Where and How You'd Work

As engineering team lead you are expected to be present and guide the team which is mostly based in our Antwerp office. This can be done partially remotely but we do expect you to bring the team together on key moments and make sure they are motivated and empowered.

Office Mix

This role is currently an Office-Mix Hybrid role. This means you would chat with your leader and team to define the number of days you need to be together to collaborate and achieve outcomes in close proximity. This is often 1 - 2 days a week. The other days you have flexibility.

This opportunity is for you if

  • You want to inspire and teach team members, the company and customers on the benefits of a strong data strategy.

  • You love talking to customers and stakeholders about data and data ecosystems both high level and more low level.

  • You get excited from pushing and organising the team to create incredible steps forward and realise our vision and want to motivate and guide them each step of the way.

What's in it for you

  • Flexible work options - whether you choose Office Mix or Remote First Mix (currently available within certain timezones and locations). We offer country-specific mobility benefits, and the ability to work flexible hours. You will be equipped with the best technology for remote work.

  • A job with purpose At Gorilla, we’re not just watching the world change—we’re making it happen! We provide cutting-edge data services to energy retailers, helping them tackle climate change while keeping the lights on; we’re here to make a big impact and have some fun along the way.

  • Renumeration Approach which is clear and no-nonsense based on your experience and location.

  • Core Benefits - Wherever your location, you can expect a generous PTO allowance and health insurance coverage.

  • Career Growth opportunities As Gorilla is growing at an incredible pace, you can leave your mark – growing alongside Gorilla. Lifelong learning is part of our DNA, and we care about your individual dreams and ambitions, beyond just work.

  • International Travel We host Gorilla Company Wide Gatherings where we all get a chance to see each other in real life. Past locations have included Portugal, Amsterdam, and Wallonia.

Top Skills

Spark
AWS
CloudFormation
Databricks
Docker
Go
Java
Kafka
Kubernetes
Python
Snowflake
Terraform

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