Signal Ocean is looking for a Forward Deployed Data Engineer to join our high-growth team. In this role, you will sit at the crossroads of data, engineering, technical pre-sales, and product design, working directly with our commercial teams and enterprise clients to design, prototype, and deliver scalable data solutions that drive adoption and revenue.
What You'll Do
- Collaborate with clients, sales, and account teams to understand real-world data needs and friction points.
- Build working data products, from custom Python pipelines and enriched datasets to Power BI templates and Snowflake-ready views.
- Support pre- and post-sales with prototypes, demos, onboarding materials, and technical discovery.
- Act as a trusted technical advisor, helping clients see the value in Signal’s unique data assets.
- Prototype new data delivery interfaces such as APIs, data warehouses, SDKs, and BI integrations.
- Co-create new metrics and models (e.g., congestion scores, freight indices) with data scientists.
- Test experimental APIs with design partners and help shape future productization plans.
- Influence how Signal’s data is accessed and delivered (batch vs. real-time, API vs. warehouse).
- Own external-facing documentation, making it clear, modern, and actionable for all audiences.
- Improve SDKs and onboarding materials by removing outdated examples and creating client-relevant ones.
- Track client usage across APIs and data products to uncover what’s working and what needs improvement.
- Reframe underused data assets for higher impact and increased adoption.
- Feed real client metrics back into engineering and product roadmaps.
What We're Looking For
- 5+ years in data-heavy roles such as Data Engineer, Data Analyst, Data Scientist, or API developer.
- Strong command of Python, SQL, and API schemas, with the ability to explain them clearly.
- Deep experience building or deploying data products in commercial settings.
- Strong business acumen; you understand how data is used, not just how it’s built.
- Passion for working directly with clients to solve complex, high-value problems.
- Comfort operating across both technical and commercial teams.
- A curious mind, especially if you’re excited to learn about industries like shipping and commodities trading.
Nice to Have
- Experience in cloud infrastructure, software engineering, or analytics frameworks is a plus.
Technical Stack
- Python
- SQL
- APIs
- Power BI
- Snowflake
Team & Environment
You will work side-by-side with commercial teams and enterprise clients.
Benefits & Compensation
- Generous compensation with additional performance incentives.
- Coverage under the company’s collective health insurance plan.
- Opportunity to work alongside experienced people with deep knowledge in software engineering, data science, and shipping business who are always eager to mentor.
- 2-4 weeks of onboarding training to prepare you for your new role, meeting about 30 trainers while diving deep into our products and the shipping industry.
- Career growth opportunities and a structured development discussion every 4 months.
- Personal learning budget for training, seminars, and conferences (750 to 2000 EUR annually depending on seniority).
- Regular team bonding events and activities.
Work Mode
This is a hybrid position.
