Marshmallow
Budapest , Molnár utca 28.
40% irodai munkavégzés, 60% távmunka
1.9M – 2.6M HUF alkalmazotti havi bruttó + Éves Bónusz: +17%
Elvárások
- ETL
- Data warehouse
- Data modelling
- SQL
- Snowflake
- BI tools
- Orchestration frameworks
- Angol (B2)
Előnyt jelentő készségek
- Python
- Java
- AWS
A mi követelményeink
Eredeti szöveg. Fordítás megjelenítése
Who you are
- Technical Expertise: Deep experience with production-grade ETLs, data warehousing, and robust data modelling. You are highly proficient in SQL and deeply understand Snowflake architecture.
- Tooling Mastery: Hands-on experience with DBT, Looker (or similar BI tools), and orchestration frameworks like Airflow or AWS Step Functions.
- Mindset: You’re proactive, customer-obsessed, and see data as a product. You think scalability, self-service, and platform-first.
- Collaborative Leader: You enjoy partnering with analysts, engineers, and product teams to deliver value quickly and iteratively.
- Bonus Points: Experience with Python, Java, or cloud infrastructure (AWS); background in insurance, fintech, or regulated industries; excitement about building a multi-product ecosystem.
Pozíció / projekt rövid leírása
Eredeti szöveg. Fordítás megjelenítése
We build financial products that accelerate the economic freedom for people who move across borders. We started with car insurance — insuring over a million drivers — and we’re scaling beyond. Tens of millions of people move countries each year, facing overlooked financial challenges. Our future is in building financial products around their needs to positively impact their lives.
At Marshmallow, we back those who step outside the norm. Our mission is to become the all in one financial shop for people who move to the UK, and we’re building a platform that enables the launch of multiple distinctive products beyond car insurance — from multi-car plans to future offerings like car finance.
Data is at the heart of this transformation. In one of the world’s most advanced insurance markets, our Data Engineering team is critical to scaling faster, smarter, and more innovatively than legacy competitors. We collaborate across the company, championing a data-driven, multi-product culture, empowering every team to move faster through self-service, automation, and real-time insights.
Perks of the job
- Flexible working: Spend a couple of days a week with your team in our new collaborative office, and own your own working hours. The rest is up to you 🏠
*If this arrangement doesn’t work, don’t let it hold you back. We’re always open to making reasonable adjustments if this is a barrier to you in any way. Let us know and we’ll talk about our options. - Competitive bonus scheme – designed to reward and recognise high performance 🌟
- Flexible benefits budget – £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Whether that’s subscriptions, night classes (puppy yoga, anyone?), the big shop or a forest of houseplants. Pretty much anything goes 💰
- Mental wellbeing support – Access therapy and mental health sessions through Oliva 💚
- Learning and development – Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year – on us! – to further your skillset 🤓
- Private health care – Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches 🏥
- Medical cash plan – To help you with the costs of dental, optical and physio (plus more!)
- Tech scheme – Get the latest tech for less 🖥
Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month!
Napi feladatok
Eredeti szöveg. Fordítás megjelenítése
- Data Modelling at Scale: Design and maintain scalable, reliable data models that support multiple products and customer journeys, ensuring consistency across insurance, payments, retention, claims, fraud, and upcoming new products like car finance.
- Cross-Domain Collaboration: Partner with product, operations, fraud, claims, retention, and growth teams to design datasets that drive real-time decisions, personalisation, and pricing optimisation for each product line.
- Champion Modern Best Practices: Act as the subject matter expert for DBT, Snowflake, and Looker, setting the gold standard for how multi-product data models are built, tested, and optimised.
- Coach Across the Business: Enable analysts, scientists, and engineers to self-serve effectively by building curated data layers and reusable tools.
- Optimise for Speed and Cost: Tune our data platform to deliver faster queries, lower cloud costs, and seamless onboarding of new products — key to enabling rapid product experimentation and scale.
- Data as a Product: Treat our data models as products themselves — reliable, observable, and optimised for customer impact across insurance, payments, loyalty, and future offerings.
- Own the Full Stack: Gain deep expertise in the full data platform (AWS, Snowflake, DBT, Looker, orchestration frameworks) to deliver safe, reliable solutions at pace.
- Automation & Efficiency: Build with a bias towards automation and reusability, essential for scaling multiple product lines without a linear increase in complexity or cost.
mutass kevesebbet
Specifikációk
- Toborzás nyelvei: magyar&angol
- Azonnali kezdés
- Távmunka heti 3 nap
A toborzási folyamat lépései
- Initial call with a member from our Talent Team (30 mins)
- Technical Interview with a couple of the team (60 mins)
- Past Experience interview with our Head of Data Engineering (60 mins)
- A culture interview to check that your work style fits our processes and values, and vice versa (60 mins)
Biztosított eszközök
- Apple
- Számítógép: Notebook
- Monitorok: Ha szükséges
Irodán belüli juttatások
- Ingyenes kávé
- Kerékpártároló
- Ingyenes italok
- Ingyenes ebéd
- Belső képzések
- Belső hack napok
- Modern iroda
- Startup hangulat
- Ingyenes reggeli
Extrák
- Cafeteria
- Magánegészségügyi ellátás
- Sportcsomag
- Képzési költségvetés
- Lapos szervezet
