Software Engineer Modelling & Data Services

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group a diversified shipping services group with offices in London and Athens. Our main product The Signal Ocean Platform allows ship charterers brokers and owners to securely process combine and analyse complex arrays of private and public shipping data. Powered by sophisticated machine learning / artificial intelligence technologies the platform delivers customized exclusive insights that help our clients achieve performance and efficiency.

About the role

As the Signal Ocean Platform continues to grow were expanding our engineering team. Were looking for a Software Engineer capable of building and maintaining scalable back-end data services (primarily in Python) within the Modelling & Data Services team. Signals Software Engineers work closely with data science design product and business analysis professionals to develop robust solutions for the highly entrepreneurial domain of shipping.

Technology stack: We build cloud solutions using C# .NET Core Typescript React MSSQL Server Azure Python MongoDB Redis Docker Kubernetes Grafana and more. We also offer the opportunity to work on complex architectures and technology stacks as well as a global AI-powered tech product vision supported by the use of multiple AI tools and accelerators. We use Agile to organize our teams and would love to onboard people who can contribute across product discovery delivery optimization QA DevOps and Continuous Integration.

Key Responsibilities:

• Design and develop efficient server-side applications
• Build and maintain CI/CD pipelines and containerised deployments
• Write automated tests following TDD practices and conduct code reviews
• Monitor and troubleshoot services using observability tools
• Champion software engineering best practices and mentor junior team members

• 3 years professional software engineering experience
• Strong CS fundamentals (data structures algorithms system design)
• Python / FastAPI for server-side development
• SQL database experience
• Docker Kubernetes and CI/CD pipelines
• Strong debugging and problem-solving abilities
• Effective use of AI tools in development workflow
• Excellent English communication (written & verbal)
• Comfortable with ambiguity and changing requirements in an experimental environment

Nice-to-have Skills:

• C# / .NET
• JavaScript / React
• Snowflake
• MongoDB
• Experience working in Data Science or Data Engineering teams
• Experience with TDD

• Generous compensation with additional performance incentives.

• Coverage under the companys collective health insurance plan.
• Opportunity to work alongside experienced people with deep knowledge in software engineering data science & shipping business who are always eager to mentor.
• Signals hybrid work policy currently includes 9 on-site working days per month during which our happy hour events take place.
• 2-4 weeks of onboarding training to prepare you for your new role having the opportunity to meet about 30 trainers while diving deep into our products and/or the shipping world.
• Career growth opportunities and a structured development discussion every 4 months.
• Personal learning budget for training seminars conferences (750 to 2000 EUR annually depending on seniority).
• Regular team bonding events and activities.
• Fitness benefits to support your health and wellbeing

All applications will be considered under the terms and conditions of confidentiality in accordance with the regulations of personal data protection.

We are an Equal Opportunity Employer committed to diversity and inclusion in the workplace. At Signal we believe that diversity of opinions approaches and viewpoints is key to our innovation and success and we encourage that with our hiring development and rewards practices. We prohibit discrimination and harassment of any kind based on race color sex religion sexual orientation national origin disability genetic information pregnancy or any other protected characteristics by law and take actions to eliminate those from our workplace.

Required Experience:

IC