Growth Data Engineer
Location: Budapest, hybrid (1-2 days/week in office)
Start date: Flexible. We're happy to wait for the right person
Team: Engineering / Data
About Recart
Recart helps e-commerce brands turn website visitors into high-performing retention channels through smarter list growth and SMS marketing. Hundreds of top DTC brands like True Classic, Simple Modern, and Her Fantasy Box use Recart to grow faster, driving 10–20% purely incremental revenue through our platform.
We’re a 35+ person global team operating across the US, Hungary, and beyond, and we’re just getting started.
What’s the opportunity?
Understanding Recart’s business and helping the company to build a well functioning data stack for business purposes and to help the engineering team in scaling the product data stack.
A few examples:
- Helping the the business teams to synchronize data from HubSpot to our data warehouse to better segment our customers and identify possible churn.
- Helping the CTO to build a semantic layer on top of Recart to support LLMs to help non-technical and technical people to query our data by natural language.
- Helping the Customer Success team to evaluate and build a dashboard/app for commission calculations.
Who are we looking for?
We're looking for a colleague who has a fairly deep technical knowledge about data, and has a mindset of a consultant.
You should love learning and you should be good at it. You will need it as tools and problems are always changing and you will encounter a ton more questions than answers.
You will help to optimize our operations in some sense, so you should have a basic business acumen.
You should be pragmatic. There are many possible solutions to a problem, you should choose the one that serves it the best.
What you'll do
- Manage hundreds of millions of data points between our product - Marketing - Sales - Customer Success tools to enable these business teams to drive growth, and ensure that good, clean, centralized data lives in our tools
- Build & maintain scripts, scrapers that identify business opportunities (aka signals: purchase intent, similar technology add/drop, a surge in traffic/sales, etc), and streamlined automations that support revenue growth and strategic decision making
- Provide scalable reporting framework within the company and create dashboards
- Conduct continuous data analyses to improve core data-driven processes (lead qualification, source attribution, lead rerouting, marketing funnel), and recommend ideas for improved efficiency & surface unexpected declines in growth stack performance
- Manage ongoing initiatives to improve data infrastructure & integrity necessary to track valuable business insights
- Our tech stack: AWS, Estuary, Postgres, Zapier, n8n, Hubspot, HighTouch, Looker.
Huge plus if you
- Have any experience with or willingness to learn the following technologies: distributed systems, NodeJS, Javascript/Typescript, Go, and AWS.
- Worked with any of these technologies: Amplitude, Apify, Builtwith, Chart.io Dropcontact, Dux-Soup, HubSpot, Hunter.io, Intercom, Pardot, Drift, Marketo, Integromat, Lemlist, N8N, Outreach.io, Reply.io, Segment, Woodpecker, Zapier, or similar.
About you
- You are deeply excited about growing a startup using data and tech
- Interested in building streamlined automation, scripts, and scrapers and architecting solutions that help business teams simplify, automate, and grow - with the ability to work across the entire stack
- Understand data flows and databases and the tools that power marketing automation, experimentation, personalization, attribution, and analytics
- You're good with SQL (we use Postgres) and you want to learn some MongoDB, and Python as well
- You understand what is API economy and you like to work with APIs and get the most out of the data they provide
- Proactive self-starter with the ability to be hands-on and can analyze, interpret and derive insights into business reports, analytic models, and data sources
- Sharp technical troubleshooting and ability to collaborate with business teams
- A quick learner that values making data-driven recommendations
- You have a basic understanding and experience with cloud providers (we use AWS)
Why us?
- A product loved by thousands of Shopify stores across the globe
- Above-average stock options (we really mean ownership)
- Flexible vacation days and working hours
- Clear quarterly OKRs and feedback loops. No chaos, no micro-management
- A team that works hard and supports each other with empathy
Our values
- We’re transparent. Clean communication and full visibility across the company.
- We work hard but stay human. Ambitious and empathetic at the same time.
- We’re flexible on the how, bullish on the what.
- We grow and win together.
Application process
- Intro chat with our recruiter
- Home assignment
- Deep-dives with our CEO, CTO and Head of Product as part of a final on-site interview.
We know the right person might not be available tomorrow and that’s okay. We’re not rushing this hire. If you feel this role speaks to you, even if you’ve never worked in a similar role before, we’d love to hear from you.
