🇳🇱 Amsterdam, Netherlands · 13h ago
Senior Data Engineer
Inner Circle
LinkedInseniorEnglish-friendly
Job DescriptionEngineering Amsterdam (hybrid)Inner Circle is a dating app for people who are done wasting time. Every member is screened thoroughly, so the profiles you see are people worth dating.All of that, the screening, the matches, the marketing, the subscriptions, runs on data. Every AI model and feature that we ship next is built on the data you own.Goal of the RoleYou build and run the systems that move our data; from the product database, app events, attribution and payment providers into Snowflake - the central analytical database that streams data to various destinations. Everything the company decides sits on top of what you build.You'll be part of our engineering team, reporting to the Head of Engineering. But you set the technical direction for data: architecture, tooling, standards and roadmap come from you, backed by reasoning your manager can follow and trust.We're building toward being an AI-native company, and data is the constraint on how far that goes. Claude Code is part of how we work day to day. Engineers build with it, and we're moving toward agentic workflows for things like error triage and bug fixing. Every AI use case we take on, whether that's smarter screening, matching, or internal tooling, ends up depending on the data being correct, timely and well-modelled. That's the platform you own.Tech stack: Snowflake, DBT, Dagster, DataBricks, Python, AWS, BigQuery, MySQL, GitHub, ETL/ELT, Tableau, Claude Code, DataDogKey Result Areas Own the direction of the data platformThis is yours to shape. You form a view of where the platform needs to go, make the call, and bring the reasoning rather than the question. Tooling and architecture decisions come with the tradeoffs; stated cost, complexity, who maintains it, what happens when it breaks. Your roadmap separates the urgent from the structural, and the structural work actually happens. Build and run reliable pipelinesYou own how data moves, end to end. The best pipelines are boring ones: they run, and when they don't, you know before anyone else does. Failures are caught by monitoring, not by someone asking why a dashboard is empty. New sources and markets get integrated properly. Engineer for correctnessCorrectness is designed in, not checked afterwards. Tests sit at the right layers and failures are actionable instead of noise. Models are incremental and idempotent, so the same run gives the same result. The messy parts; deduplication, late-arriving data, timezones, attribution windows, are handled deliberately. Set the engineering standard for the data stackYou define how data gets built here, and the standard you set outlasts you. Everything is version-controlled, reviewed and covered by CI. Nothing reaches production by hand. Code is readable enough that someone else can pick it up cold, because at some point someone will. Warehouse spend is watched, and access is managed as code. Be the data counterpart the rest of the company can rely onData isn't a reporting function here. Screening, matching, marketing, subscriptions and increasingly our AI tooling all run on what you build, which means most of the company touches your models whether they know it or not. You're close to the business, upstream and downstream, so your work lands visibly and fast.RequirementsWhat Will Help You Be SuccessfulSenior experience owning a production data platform end to endDeep hands-on Snowflake, dbt modelling, and confidence with Dagster or a comparable orchestratorYou use AI tooling seriously in your own work and have a view on where it helps and where it doesn'tExperience with building APIs using PythonComfortable in AWS, the infrastructure your pipelines run on isn't a black box to youYou've integrated third-party sources before: event tracking, attribution, payment and subscription dataYou handle deduplication, late-arriving data, timezones and attribution windows deliberately, not reactivelyYou form a view, state it, and own the outcome and can explain the tradeoff to a non-data managerYou trace problems to root cause, raise issues early, write things down, and follow throughWhat We OfferA career opportunity that makes a positive impact on people's livesA competitive salary matched with your experience and ambitionAn amazing work environment in our office at Prins Hendrikkade, at the heart of AmsterdamA MacBook or other hardware of your choice to be able to do your jobStay healthy and bring-your-own-device allowanceTraining and development budgetFrequent team get-togethers and team activitiesFree Inner Circle VIP membership for you and your single friendsAbout Inner CircleInner Circle is a dating app built on the contrarian belief: opposites don't attract. The best connections happen between people who already live life the same way. So we don't sell more options, or better odds. We sell relevance, people worth dating. Every member is screened, so effort and intention are in place before anyone gets in. And where every other app is built to keep you swiping, ours is built to get you off it, and onto a date with someone worth your time.At Inner Circle, we embrace our diverse community and team. We celebrate differences and know that they are key for helping us grow. Our team consists of 40 team members, with 16 nationalities and a female: male ratio of 60 : 40. Whatever your race, religion, colour, gender, national origin, political affiliation, sexual orientation, marital status, disability or age, we make sure everyone has the space to be themselves.Ready to make an impact? Let's get the ball rolling, apply now.Sourced from LinkedIn. Relocantly aggregates public job postings; apply on the original site.