Data Engineer
About Opply
Currently, 25 million consumer goods brands worldwide with $4 Trillion of revenue do not have knowledge or power to create effective supply chains. Opply is revolutionising the way these brands find, communicate with, and order from suppliers by building the world's first personalised end-to-end supply platform for them. We focus on the most innovative brands and suppliers, aiming to become the leading platform and data authority in consumer goods innovation.
Opply is backed by some of the best-known venture capitalists in the world and is one of the fastest-growing startups in the UK - and is now looking for individuals who are eager to embark on this exciting journey with us!
Who We Are
We’re a close-knit team of 20, working across four time zones (but we do have an office in London), and we meet up 2-3 times a year to work, ideate and hang out (previously we had company offsites in Valencia, Prague, Split and the North of Finland!).
We’re one of the fastest growing startups in London. Now we need extraordinary minds with a strong ownership mindset who want to join us on our mission!
What You'll Be Doing
You’ll be joining Opply at an exciting stage of growth, where your work will directly contribute to our ambitious journey forward.
As a member of our skilled tech team, which spans expertise in Product Development, Quality Assurance, DevOps and Data, you'll collaborate within multidisciplinary squads to tackle impactful projects. You will act as the main person responsible for data across the whole business and together with our CTO, our Head of Engineering, our Product Delivery Manager and our Junior Data Scientist you will be responsible for defining and executing a Data Roadmap.
As we are a small team, the role is ideal for someone who wants to own E2E. Together, we will be shaping the future of our products and building solutions that drive real business outcomes. The role can be on-site with our team in London, hybrid or fully remote (+/-2h GMT).
Who You Are
- 3+ years working with Data in a fast-paced environment: You have been working with Data at multiple levels, from extraction to analysis
- You are an empathetic and inspirational team player who thrives in a cross-functional team setting
- You are a super fast learner. You have the natural curiosity and intellectual prowess to deeply understand new topics and pick up new skills in rapid time
- You are resourceful and scrappy. Things need to get done, you always find a way to make it happen. Even when the work is hard, you are relentless in delivering even with limited information and ambiguity
- You are passionate. You are an optimistic with a positive energy that other people draw upon
What The Job Involves
- Getting services running on AWS from scratch: AWS is like your playground, you know which services to use and how to configure them to get things done
- Building data pipelines: You've created and managed data pipelines, you care about data quality and about being on top of it all
- Being the go-to person for all company Data: Not only you're aware of all the data the company holds but you're passionate about it and everyone knows it
- Getting everyone in the business excited about Data: You're not just the go-to you're also the one that converted even the least data drive person to open a set of reports at the start of each day
- Helping others understand and visualise Data: You feel responsible for proper interpretation of your company data so you make sure everyone that wants data understands it
What We Offer
- Compensation £50k-70k (or equivalent in local currency)
- Equity in one of the fastest-growing startups in London
- 25 days holiday a year (+ local public holidays)
- A nice office in the center of London (close to Liverpool Street)
- Enrolment into the company Pension Scheme
- Monthly allowance for gym membership etc.
- Regular team socials & lots of other surprises
- MoreHappi online coaching
Hiring Process
- Intro call with our Head of Engineering (15-30 minutes)
- Online face-to-face technical challenges and brainstorm (60 - 90 minutes)
- Meet the team and the founders (1 hour)
- Department
- Product
- Locations
- London
- Remote status
- Fully Remote
Data Engineer
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