Senior Data Engineer

You 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, DataDog

Key Result Areas

1. Own the direction of the data platform

This 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.

1. Build and run reliable pipelines

You 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.

1. Engineer for correctness

Correctness 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.

1. Set the engineering standard for the data stack

You 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.

1. Be the data counterpart the rest of the company can rely on

Data 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.

• Senior experience owning a production data platform end to end
• Deep hands-on Snowflake, dbt modelling, and confidence with Dagster or a comparable orchestrator
• You use AI tooling seriously in your own work and have a view on where it helps and where it doesn’t
• Experience with building APIs using Python
• Comfortable in AWS, the infrastructure your pipelines run on isn’t a black box to you
• You’ve integrated third-party sources before: event tracking, attribution, payment and subscription data
• You handle deduplication, late-arriving data, timezones and attribution windows deliberately, not reactively
• You form a view, state it, and own the outcome and can explain the tradeoff to a non-data manager
• You trace problems to root cause, raise issues early, write things down, and follow through

• A competitive salary matched with your experience and ambition
• An amazing work environment in our office at Prins Hendrikkade, at the heart of Amsterdam
• A MacBook or other hardware of your choice to be able to do your job
• Stay healthy and bring-your-own-device allowance
• Training and development budget
• Frequent team get-togethers and team activities
• Free Inner Circle VIP membership for you and your single friends

About Inner Circle

Inner 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.

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.