Lead Data Engineer

bLead Data Engineer — Revenue Operations /bbrHeeft u de vaardigheden om deze functie te vervullen? Lees hieronder de volledige details en solliciteer vandaag nog.brbAbout Stream /bbrpStream powers real-time Chat, Video, Activity Feeds, and AI Moderation for billions of end-users across thousands of apps, from Strava and Bumble to eBay and Patreon. Our platform processes billions of API requests per month and supports applications with millions of concurrent users, while delivering highly reliable, low-latency services and a great developer experience. /pbrbThe role /bbrpWe're looking for a bLead Data Engineer /b to join Stream on our mission of elevating the quality of apps for billions of users globally. You'll be the technical owner of the data platform our go-to-market and product decisions run on. /pbrpThis is ab full-time role based in our Amsterdam office. /b /pbrbWhat you'll work on /bbrpYou’ll own the pipelines, integrations, and central repository that bring Stream's data together, and the models that turn it into something the business can trust. /pbrpA Revenue Operations team owns the stakeholder relationships and business questions, so your time goes into building durable systems rather than chasing requirements. /pbrpAnalytics translation is increasingly handled by AI, which is exactly why the engineering underneath it matters. Strong data modeling is at the core of this role. /pbrpWe're mid-migration to GCP, so there's real architecture to shape and own. /pbrpbJob responsibilities: /b /pbrullibr/liliBuild and evolve the ingestion platform: Python/dltHub pipelines loading into BigQuery, integrating Salesforce, Stripe, Postgres, PostHog, cloud billing, and other GTM systems. Design incremental loading, write dispositions, and scheduling, and make onboarding a new source predictable and low-risk.br/liliBuild the transformation layer: SQLMesh models across our layered architecture, clean and well-tested dimensional models, and clear conventions for grain, naming, and audit. Keep the core business models accurate: revenue waterfall, GTM funnel, marketing attribution, and product usage.br/liliImprove reliability: expand data quality and observability, build freshness checks, reconciliation tests, and execution monitoring, and lead incident response when data is stale, wrong, or late. Trace issues across pipelines, transformations, and upstream systems.br/liliOwn the platform infrastructure: BigQuery and supporting GCP, plus Terraform, IAM, service accounts, scheduled jobs, and deployment workflows, tuned for security, reliability, and cost.br/liliEnable the business: deliver trusted datasets to Looker Studio, Google Sheets, and our internal CRM, and run reverse ETL back into operational systems like Salesforce.br/liliSet technical direction: define engineering standards and architecture, review pipeline and model changes, and mentor the engineers and analysts who contribute to the platform.br/li /ulbrbAbout you /bbrpYou like bowning a platform end to end and staying hands‑on /bwhile you do it. /pbrpYou're comfortable in a small team and a fast, unfinished environment, and you're energized by building rather than by growing a large org around you. /pbrpYou lead through the work: architecture, code review, and mentoring, not a management title. /pbrpbYou have: /b /pbrullibr/lili6+ years building and operating production data platformsbr/liliExpert SQL and strong Pythonbr/liliExperience designing incremental, idempotent, well‑tested pipelinesbr/liliDeep experience with BigQuery or another modern cloud data warehousebr/liliExperience with modern ELT tooling such as SQLMesh, dbt, dltHub, Fivetran, or Airbytebr/liliExperience with orchestration and CI/CD (GitHub Actions, Airflow, or equivalent)br/liliInfrastructure‑as‑code experience with Terraformbr/liliStrong data modeling skills: dimensional modeling, warehouse design, testing, and observabilitybr/liliA track record of technical leadership through architecture, code reviews, and mentoringbr/li /ulbrpbBonus points: /b /pbrullibr/liliRevenue Operations or GTM data experiencebr/liliSalesforce and Stripe data modelingbr/liliProduct analytics platforms such as PostHogbr/liliMarketing attribution and funnel analyticsbr/liliMRR, expansion, contraction, churn, and revenue reconciliation logicbr/liliWorking closely with business stakeholders while keeping engineering disciplinebr/liliDeep GCP familiarity, including IAM, service accounts, and BigQuery cost optimizationbr/li /ulbrbWhat makes this role exciting /bbrullibr/liliYou own the data platform the whole company depends on, not one pipeline or one domain.br/liliYour work powers forecasting, commissions, pricing, churn analysis, product insight, and board reporting. The quality of your engineering shows up directly in how the company runs.br/liliThe stack is modern and AI‑forward: Python, dlt, SQLMesh, BigQuery, Terraform, GitHub Actions, with Claude, Cursor, and Linear across the team.br/liliYou inherit a solid foundation built from scratch, so you get to evolve and harden it rather than start from zero.br/li /ulbrbWhy join Stream? /bbrpWe're a Series B company with global presence and a team of around 145 people from more than 35 countries. We're backed by Felicis Ventures, GGV Capital, 01 Advisors, Techstars, and Arthur Ventures, with angels including Dick Costolo (ex‑CEO of Twitter), Olivier Pomel (CEO of Datadog), Tom Preston‑Werner (co‑founder of GitHub), and Nicolas Dessaigne (co‑founder of Algolia). /pbrpWe'll be straight with you: a startup is more demanding than a large company. There's no fixed playbook, you'll own things end to end, and you'll sometimes pick up work outside your title. That's also what makes it a fast place to grow. If you want real ownership and high scale more than structure and a set career ladder, you'll feel at home here. /pbrbWhat we offer /bbrullibr/liliGenerous compensationbr/liliCompany equitybr/lili28 days paid time off plus Dutch public holidaysbr/liliA pension schemebr/liliA learning and development budgetbr/liliCommute coverage: an NS business card or a company bikebr/liliA fitness stipendbr/liliA MacBook Pro and the peripherals you needbr/liliCatered team lunches and snacksbr/liliAn office in the heart of Amsterdambr/liliA strong team to learn frombr/li /ulbrpThis list applies to Netherlands-based employees and is adjusted to your location of residence. /pbrpbHybrid office policy: /bapplicants based (or relocating to) one of our office locations are expected to work according to the applicable local office attendance policy. /pbrpbEqual opportunity employer statement: /b Stream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. /pbrpThis policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. /pbrpbNote for external recruiters: /bWe currently have this role covered and do not accept unsolicited agency resumes. xgiwjmb We are not responsible for any fees related to unsolicited resumes. /pbr