Python Engineer – Energy Sector

Opinov8

Cascais, Lisboa
Permanente
Horário completo

Há 23 dias
Aplicar facilmente

About the roleWe’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.

What We’re Looking For

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

Hybrid Flexibility – Work mostly remotely but connect in person at our modern co-working space in Cascais once per week.
Balanced Lifestyle – Enjoy flexible hours that fit your schedule while keeping valuable face-to-face collaboration.
Exciting Projects: Dive into impactful projects across various industries that challenge and spark your creativity. Work on innovative solutions that push boundaries, giving you the chance to make a difference and drive change.
Boost Your Expertise: Elevate your career with unmatched experiences that expand your knowledge and master skills. We foster continuous learning and development opportunities that allow you to grow and reach new heights.
Join Great Team: Collaborate with our diverse and сross-cultural team of passionate technologists and creative thinkers who inspire and support. Together, we develop services that make a real impact on the world.

HOW’S THE HIRING PROCESS GOINGWe strive to make a smooth and transparent hiring process to find the perfect match for both sides. Steps may differ depending on the position — here's what to expect:

Initial Interview: If your background fits the role's criteria, we'll invite you for an interview with a Talent Acquisition Specialist to get to know you better.
Technical Interview: Meet with our technical interviewers to discuss the role specifics and gain insights into the project's scope and expectations.
Client’s Interview: meet with client representatives to discuss the role specifics and gain insights into the project's scope and expectations.
Final Decision: After completing all interviews and assessments, we'll reach a final decision and get back to you with the result.

Opinov8