Senior ML Data Engineer

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.

We are looking for a systems-minded Senior Machine Learning Data Engineer to our AI team to own the offline-to-online feature

infrastructure that powers our real-time recommendation and search engines at scale. You will be building the low-latency data

syncs and feature-serving layers that bridge our analytical warehouses with operational databases, caches, and Feature Stores.

This is a role for a performance-driven engineer who excels at pipeline orchestration (Airflow, dbt), Infrastructure as Code

(Terraform, Docker), and database tuning, ensuring our recommendation systems receive reliable data under strict low-latency SLAs.

If you thrive on solving complex data synchronization challenges, scaling operational storage for millions of users, and acting as

the operational bridge between Data Science and Backend Engineering - you will play a critical role in powering our product's core

ML capabilities.

• Offline-to-Online Feature Pipelines: Build and operate resilient feature pipelines syncing transformed data from analytical

warehouses (e.g., BigQuery) into operational storage layers (e.g., AlloyDB, Redis, Feature Stores) to serve real-time ML

recommendation models at scale.

• Pipeline Orchestration and Transformations: Design, test, and maintain robust Apache Airflow DAGs and modular dbt

transformations to automate end-to-end data ingestion and feature generation under strict low-latency SLAs.

• Infrastructure as Code and Reliability: Provision, scale, and automate cloud data infrastructure using Terraform, Docker, and

CI/CD pipelines, implementing automated data quality testing and monitoring across all feature syncs.

• Cross-Functional System Design: Partner directly with Data Scientists and Backend Engineers to define online/offline feature

contracts, optimize database schemas for sub-second queries, and eliminate training-serving skew for millions of active users.

• Operational Data Pipelines: Proven experience moving batch features from analytical warehouses (BigQuery, Snowflake) into

low-latency online stores (AlloyDB, Redis, Feature Stores) to serve real-time ML recommendation models.

• Infrastructure as Code (IaC): Deep hands-on experience provisioning, scaling, and managing cloud data infrastructure using

Terraform, Docker, and modern CI/CD automation pipelines.

• Pipeline Orchestration & Transformations: Strong track record building, scheduling, and maintaining workflow orchestrations

(e.g., Airflow, Dagster) and modular data transformation frameworks (e.g., dbt).

• Database Performance Tuning: Advanced SQL skills across both OLAP and OLTP systems. Ability to optimize schemas, indexing,

partitioning, and queries.

• Production Feature Management: Experience managing Feature Stores (e.g., Feast, Tecton) or low-latency key-value stores (e.g.,

Redis) to serve online ML features with zero training-serving skew.

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.

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 18+ million users (and counting)? Join us at GoWish - and let’s build the

future of data-driven innovation together.