About the Role At Dreamlines, we help travelers find and book their dream cruise — working with the world’s leading cruise lines across Germany, the UK, Australia, and the Netherlands.
Our team (10+ engineers) already has a solid foundation: warehouse, ingestion layer, and ETL pipelines are in good shape. Now we’re building the next layer — the one customers and business teams actually interact with. Data products, APIs, predictive analytics, and AI-powered features that move the business from “here’s what happened” to “here’s what you should do next.”
This role is for someone who builds that layer. Not pipelines for their own sake — but data products that get used, make decisions, and ship.
What You’ll Actually Be Doing Building data products end-to-end. Predictive support-load dashboards, automated package optimization based on competitor data, ship-level complaint signals that feed sales decisions — you’ll take these from concept to production.
Designing and maintaining the serving layer. APIs, feature delivery, real-time data products built on top of our Redshift warehouse — you own this layer and collaborate with data engineers who own what’s beneath it.
Owning reliability after deployment. You monitor, troubleshoot, and optimize what you ship — freshness, performance, and uptime are part of the job, not someone else’s problem.
Integrating LLMs into real workflows. We use Claude (Anthropic) and expect pragmatic judgment on when to use prompt engineering, when RAG is the right call, and when fine-tuning actually makes sense. No experimentation for its own sake.
Testing and validating before you ship. New data products and AI features go through proper validation — with attention to baseline metrics and downstream impact — before they touch production.
Moving us toward predictive and prescriptive analytics. We want to go beyond look-back reporting. You’ll help define what that looks like architecturally and then build it.
Contributing to our real-time roadmap. We’re early in our streaming journey — you’ll have genuine input on direction, not just implementation.
Being a technical reference point on the team. You’ll be the go-to voice on data product architecture and LLM integration — shaping how the team thinks about these topics, not just executing tasks.
What You Won’t Be Doing * Managing a team or handling people leadership * Pure ETL/pipeline work — we have engineers for that * Academic ML research or model experimentation without a production target
You Must Have * 5+ years building data-intensive applications end-to-end — not only pipelines * Strong Python; comfortable in JavaScript/TypeScript when the serving layer needs it * Strong SQL and hands-on experience with a cloud data warehouse (Redshift preferred) * Experience designing and shipping REST APIs that serve production systems * Practical LLM integration experience in production — with real judgment on the tradeoffs * At least one customer-facing or business-critical data product shipped end-to-end * Hands-on experience with dbt — able to read, extend, and propose changes to models * Full professional proficiency in English
Strongly Preferred * Exposure to Airbyte, Airflow, and BI tools such as Tableau * Frontend competence sufficient to ship a usable internal dashboard independently * Ability to document architecture and data product behavior clearly — for both technical and business audiences * Strong architectural judgment and ability to translate business needs into shipped products * Willingness to push back constructively when the data doesn’t support a requirement
Nice to Have * Experience with streaming / real-time systems (Kafka, Debezium, Materialize, RisingWave, or similar) * Background in e-commerce, travel, or marketplace businesses * Experience building agentic LLM workflows in production * Familiarity with GDPR and EU data residency constraints
What You Get * A high-impact role on a platform used by thousands of customers * No time tracking * A supportive and experienced engineering team * Internal learning and development program * 20 vacation days * Medical care & wellbeing * Accounting support * Office gym with a personal trainer * Family-friendly space
Ready to help us redefine how people find and book cruises? We’d love to meet you!
