About GoWish, Ønskeskyen ☁️
At GoWish, we’re building the world’s leading wish-list and social shopping platform — a place where you can make a real impact and have fun doing it.
We’re on a mission to reinvent gifting for millions. We win together, driven by curiosity, ownership, and bold ideas that turn into real products. We experiment cross-functionally, push for excellence, and keep things playful as we grow — together.
Team & role overview
The Monetization team sits at the heart of GoWish’s business model. We build, own, and evolve the systems that translate user intent and product interaction into measurable, trustworthy value for our B2B partners. This includes advertiser-facing products, click tracking and attribution systems, and data platforms that power insights, optimization, and decision-making.
Our work directly impacts:
revenue generation
partner trust
strategic business decisions
The works closely with the commercial side of the business with a strong engineering mindset, actively experimenting with new monetization models, data products, and insights to unlock additional growth. We build long-lived systems where correctness, scalability, and thoughtful architecture are foundational - enabling the business to move fast without compromising trust or quality.
As a Data Engineer in the Monetization team, you will play a crucial role in building and evolving GoWish’s commercial insights platform, enabling software engineers, product teams, commercial stakeholders, and external partners to access trusted, low-latency performance data through internal systems and APIs.
This role sits at the intersection of analytics, operational systems, and APIs, where you will design and operate data pipelines and storage solutions that transform large-scale analytical data into production-grade, API-ready datasets - without compromising correctness, reliability, or governance.
This is not a dashboard-focused role. It is data engineering for production systems with real commercial impact.
Responsibilities:
Design, build, and maintain near-real-time data pipelines based on BigQuery and streaming sources
Model and serve analytical datasets into an operational analytical database (OLAP) to support low-latency APIs
Own the end-to-end data flow behind DataHub APIs used by partners and internal teams
Work with raw event and tracking data to model, transform, and enrich datasets that enable reliable insights and decision-making
Take a leading role in data quality and observability, defining and measuring key quality metrics such as completeness, freshness, and consistency, and implementing governance and monitoring frameworks that surface issues early - before they affect downstream systems, partner trust, or decision-making
Implement schema governance, data quality checks, and observability for production data pipelines
Optimize pipelines and storage for performance, scalability, and cost
Collaborate closely with backend engineers to define data contracts, latency requirements, and access patterns.
What we’re looking for 🌟
We imagine that you have:
3–5+ years of experience in Data Engineering or Data Platform roles
Strong experience building and operating production-grade batch and streaming data pipelines (e.g. BigQuery, Dataflow)
Hands-on experience with cloud-native infrastructure and containerized workloads on GCP (Kubernetes, Docker, Terraform)
Strong SQL skills and experience working in modern analytical ecosystems (BigQuery, dbt, and BI tools)
Experience modelling data to derive insights from raw event data, not just moving data from A to B
Experience designing and orchestrating data models and pipelines that serve operational systems and APIs
A strong ownership mindset with a high bar for data correctness, reliability, and clarity
Clear communicator, able to explain complex technical concepts to both technical and non-technical stakeholders.
Nice to have:
Experience with high-performance OLAP analytical databases
Experience designing or working with Data Clean Rooms
Streaming-first architectures and low-latency data processing
Experience defining and monitoring data quality metrics tied to business outcomes.
Why GoWish should sit at top of your career wish list 💙
At GoWish, we believe great work comes from people who feel energized, supported, and excited to show up every day. That’s why we’ve built a workplace where celebration, growth, and genuine enjoyment are part of the journey — not perks on the side.
Take your birthday off with Happy Birthday Leave, enjoy 30 days of vacation to fully recharge, and join a team that fills the year with events and playful happenings. We invest in your future with pension and insurance, fuel your days with a weekly lunch scheme, and keep you going with unlimited snacks and sodas — because work should feel good.
At GoWish, you don’t just build great products. You build a great work life.
Practical information
We collaborate in a flexible hybrid setup, with most of our magic happening at our bright, modern office in Østerbro — perfectly placed between Nordhavn and Østerport Station. We’re ready for you to join us as soon as you are.
👉 Ready to help shape a platform that already empowers 17+ million users (and counting)? Join us at GoWish — and let’s build the future of data-driven innovation together.
Perks and benefits
This job comes with several perks and benefits
Near public transit
Pension plan
Work life balance
Social gatherings
Flexible working hours
Skill development
Working at
GoWish, Ønskeskyen
