Data Engineer

<p><span style="font-size: 12pt;">Bringg processes over 200 million orders a year through infrastructure that some of the world's largest retailers depend on daily. When the data pipeline works, deliveries land on time at scale. When it doesn't, customers feel it within the hour.</span></p> <p><span style="font-size: 12pt;">We're looking for a <strong>Data Engineer</strong> to own and evolve the data infrastructure that sits underneath all of it. The pipeline is already built and running at real scale. Your job is to go deeper - embedding data further into the business and pushing the AI/ML layer forward. This isn't a maintenance role. It's an ownership role.</span></p> <p><span style="font-size: 12pt;"><strong>In this role, you will:</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Our data pipelines run faster, scale cleaner, and break less - because you own the architecture and optimization of our BigQuery warehouse end-to-end.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">High-throughput processing and real-time analytics become possible at a scale we haven't reached yet - because you're shaping the distributed systems that get us there.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Data capabilities land in the hands of the people who need them - data scientists, engineers, and product stakeholders from problem to solution, not as a downstream dependency.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">The infrastructure gets more reliable, more automated, and easier to monitor - because you treat DevOps and MLOps as part of the job, not someone else's problem.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">AI/ML models move from development into production and stay there - not handed off, but owned through the full deployment lifecycle.</span></li> </ul> <h3><span style="font-size: 12pt;"><strong>What you Bringg</strong></span></h3> <p><span style="font-size: 12pt;"><strong>Must have:</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>4+ </strong>years building high-scale data pipelines and managing cloud data warehouses (<strong>BigQuery</strong> strongly preferred)</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Hands-on experience with <strong>Kafka</strong>, CDC tools (<strong>Estuary</strong> or similar), and pipeline orchestration (<strong>Airflow</strong>, dbt)</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Deep command of SQL and NoSQL ecosystems - <strong>Postgres</strong>, Redis, Elastic</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Solid backend development skills with strong OOP/OOD fundamentals</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Exposure to MLOps and production AI/ML model deployment</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience with <strong>AI-assisted</strong> development tools (Claude Code, GitHub Copilot, Cursor)</span></li> <li style="font-size: 12pt;">Comfortable working independently with minimal structure — you drive things, you don't wait for them</li> </ul> <p><span style="font-size: 12pt;"><strong>Good to have:</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Familiarity with DevOps and async systems: Pulumi/Terraform, RabbitMQ, Docker, WebSockets, Linux</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience with routing and navigation algorithms</span></li> </ul> <p><span style="font-size: 12pt;"><strong>Why Bringg</strong></span></p> <p><span style="font-size: 12pt;">At Bringg, your work runs infrastructure that the world's largest retailers depend on. The product is complex, the customers are demanding, and the stakes are real.<br></span><span style="font-size: 12pt;">The people here are self-directed, curious, and show up when it matters. You won't get a full map - but you won't be alone figuring it out.</span></p> <p><em><span style="font-size: 12pt;">Worth Showing Up For.</span></em></p>