PROJECT OVERVIEW

We’re looking for a skilled Python Engineer to join our growing Engineering team and help shape the future of data-driven innovation in the energy sector. You’ll work with large datasets, manage complex migrations, and turn business challenges into robust engineering solutions.

In this role, you’ll be building and maintaining core backend services, databases, and tools that power our Data Science, Market Intelligence, and client-facing platforms. Your work will directly enhance the efficiency of our data scientists, improve system scalability, and support high-performance applications in a cloud-first environment.

We work in a Dual-track Agile setup (Scrum) and value engineers who can contribute across product development, optimisation, DataOps, DevOps, and CI/CD.

IN THIS ROLE, YOU WILL

• Build and maintain web services, data pipelines, and automation tools.
• Design and implement new data solutions for internal teams and external clients.
• Manage and enhance core datasets in a SQL data warehouse.
• Optimise DevOps processes and infrastructure.
• Design and implement scalable data architectures.
• Ensure data quality through robust validation/testing
• Monitor, troubleshoot, and improve system performance.
• Collaborate with stakeholders to turn requirements into actionable solutions.

IF YOU ARE

• At least 3 years of proven software development experience in team environments.
• Strong Python skills and as a plus experience in at least one strongly-typed language (Go, C++, Java).
• Backend API development with RESTful practices.
• Experience working with cloud services, AWS preferred.
• Solid knowledge of relational databases (PostgreSQL, MySQL, or MS SQL Server).
• Applied knowledge of Linux/Unix OS.
• Understanding of the importance of data governance and metadata.
• Strong problem-solving skills and the ability to troubleshoot complex data issues.
• Excellent command of written and spoken English.

NICE TO HAVE

• Knowledge of Python’s data science ecosystem (pandas, scikit-learn, etc.).
• Experience working with high frequency timeseries data and/or streaming data.
• Docker and container technologies in general.
• Building and managing other database/datastore technologies (NoSQL variants, file stores, etc.).
• Knowledge of Apache Airflow.
• Experience with infrastructure-as-code;
• Experience with continuous integration and deployment pipelines.
• Knowledge of ETL, data acquisition and data injection processes.

AS AN OPINOV8R, YOU WILL HAVE

• Digital-First Approach: Great talent knows no borders! You can work from wherever you are — we hire and collaborate with professionals worldwide.
• Exciting Projects: Dive into impactful projects across industries that challenge and spark creativity.
• Boost Your Expertise: Grow your career with continuous learning, development opportunities, and hands-on experience.
• Join the Best Team Ever: Collaborate with our diverse and cross-cultural team of passionate technologists and creative thinkers.

HOW’S THE HIRING PROCESS GOING

We strive to make our hiring process smooth and transparent to find the perfect match for both sides. Steps may differ depending on the role, but here’s what to expect:

• Initial Interview: If your background fits the role, we’ll invite you for an interview with a Talent Acquisition Specialist.
• Technical Interview: Depending on the position, you may complete a technical assessment or test task.
• Final Decision: After all steps, we’ll get back to you with the result and next steps.