Responsibilities
- Collaborate with clients, sales, and account teams to uncover 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 (APIs, data warehouses, SDKs, BI integrations).
- Co-create new metrics and models (e.g., congestion scores, freight indices) with data scientists.
- Test experimental APIs with design partners and shape future productization plans.
- Shape 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- Improve SDKs and onboarding materials; remove outdated examples and create client-relevant ones.
- Track client usage across APIs and data products; uncover what’s working and what needs improvement.
- Reframe underused assets for higher impact and increased adoption.
- Feed real client metrics back into engineering and product roadmaps.
Requirements
- 5+ years in data-heavy roles (e.g., Data Engineer, Data Analyst, Data Scientist, API developer, etc.)
- Strong command of Python, SQL, and API schemas—and the ability to explain them clearly.
- Deep experience building or deploying data products in commercial settings.
- Strong business acumen; you get how data is used, not just how it’s built.
- Passion for working directly with clients and solving complex, high-value problems.
- Comfortable operating across both technical and commercial teams.
Nice to Have
- Experience in cloud infrastructure, software engineering, or analytics frameworks a plus.
- A curious mind—especially if you’re excited to learn about industries like shipping and commodities trading.
Benefits
- 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 & shipping business who are always eager to mentor.
- Signal’s hybrid remote work policy currently includes 6 working days at premises per month
- 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.
Additional Information
- 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.
