At a Glance
- Tasks: Build data pipelines and automate workflows for innovative consumer goods brands.
- Company: Join Opply, a fast-growing startup revolutionising supply chains for 25 million brands worldwide.
- Benefits: Enjoy equity, 25 paid holidays, gym allowances, and regular team socials.
- Other info: Work remotely with occasional meet-ups in exciting locations like Valencia and Prague.
- Why this job: Be part of a close-knit team shaping the future of consumer goods with impactful technology.
- Qualifications: 5+ years in data engineering, AWS expertise, and a collaborative mindset are essential.
The predicted salary is between 43200 - 72000 € per year.
Join to apply for the Senior Data Engineer role at Opply
Join to apply for the Senior Data Engineer role at 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 18, 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
Opply is at an exciting stage of growth, where your work will directly contribute to our ambitious journey forward.
You will join the Automation Team which is responsible for building features that automate workflows for our users (internal and external).
The roadmap for the Automation Team requires cross-functional skills:
- Data Engineer (this position)
- Product Engineer (hired recently)
- Data Scientist (well-established in the company, deep knowledge of the domain)
As a Senior Data Engineer you are expected to take a prominent role in shaping our solutions and to support orchestrating the work within the Automation Team.
At the moment the main objective for the Automation Team is to build a new feature in our Product to do Automated Leads Generation so that our Operations Team can generate relevant business leads for cold outreach with a click of a button.
A few of the blocks you will be building:
- Setting up a leads database
- Creating multiple microservices to find leads online
- Setting up and monitor how the data flows between services
- Deploying automated jobs that enrich leads with relevant information
- Build relevancy scores with mechanisms to learn from human validation
Who You Are
- 5+ years working with Data in a fast-paced environment: You've been building data pipelines and creating infrastructure from scratch long enough to know what works and what doesn't. You thrive when moving fast and iterating with purpose.
- You're more than just a Data Engineer: You're curious about automation, user experience, AI integrations, and making things work end-to-end. You love the idea of taking something from zero to value — not just data in, data out.
- You're a team-first collaborator: You work extremely well with others. You make the two engineers next to you better, and they make you better. You communicate clearly, support the team, and keep momentum high.
- You're scrappy and resourceful: When something's unclear or not working, you find a way. You're excited by challenges, not discouraged by them. You're relentless in building, fixing, and delivering.
- You care about users and business impact: You don't just build for the sake of building — you want what you build to matter. You're driven by the real value your work brings to the people who use it.
- You go the extra mile: When someone needs help, you're there. You understand that speed and collaboration are everything in a small team, and you show up for both.
What The Job Involves
- Building data pipelines and making sure they run smoothly: You've done this before. From ingestion to monitoring, you care deeply about data quality and reliability.
- Getting services and infrastructure running on AWS from scratch: You know your way around AWS — not just how to use the services, but how to combine them into real solutions. EC2, S3, Lambda, you name it.
- Managing infrastructure as code (Terraform): You write infrastructure like you write code — clean, modular, and version-controlled. You've used Terraform in production and know its ins and outs.
- Contributing to automation products, not just backend pipelines: This team builds automation tools that combine data, AI, and UI. You'll help shape user experiences, hook into models, and build smart tools with real-time impact.
- Working closely with others to move fast and stay aligned: No silos here. You'll co-own outcomes with teammates, and share wins, learnings, and tough problems together.
What We Offer
- Equity in one of the fastest-growing startups in London
- 25 paid holidays a year + local public holidays
- A nice office in the centre of London
- Enrolment into the company Pension Scheme
- Monthly allowance for gym membership etc.
- Regular team socials & lots of other surprises
- MoreHappi online coaching
Interview Process
- Intro call with our Head of Engineering (30 minutes)
- Take home exercise
- Follow-up technical call (1.5 hours)
- Meet the founders (1 hour)
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Information Technology and EngineeringIndustries
Software Development
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#J-18808-LjbffrSenior Data Engineer employer: Opply
At Opply, we pride ourselves on being a dynamic and innovative employer, offering our Senior Data Engineers the chance to work at the forefront of supply chain technology in the vibrant city of London. With a strong focus on collaboration and personal growth, we provide equity in a rapidly growing startup, generous holiday allowances, and a supportive work culture that values creativity and teamwork. Join us to not only advance your career but also to make a meaningful impact in revolutionising the consumer goods industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with Opply's mission and the specific challenges they face in the consumer goods sector. Understanding their goals will help you articulate how your skills as a Senior Data Engineer can directly contribute to their innovative solutions.
✨Tip Number 2
Showcase your experience with AWS and Terraform during discussions. Be prepared to discuss specific projects where you've successfully built data pipelines or infrastructure, as this will demonstrate your hands-on expertise and problem-solving abilities.
✨Tip Number 3
Emphasise your collaborative mindset. Since Opply values teamwork, share examples of how you've worked effectively with cross-functional teams in the past, particularly in fast-paced environments, to highlight your ability to contribute positively to their close-knit culture.
✨Tip Number 4
Prepare to discuss your approach to automation and user experience. Given that the role involves building automation tools, be ready to share your thoughts on how to enhance user experiences through data-driven solutions, which aligns with Opply's focus on impactful outcomes.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Engineer position at Opply. Tailor your application to highlight how your experience aligns with their needs.
Highlight Relevant Experience:In your CV and cover letter, emphasise your 5+ years of experience in data engineering, particularly focusing on building data pipelines, AWS infrastructure, and automation tools. Use specific examples to demonstrate your skills.
Showcase Team Collaboration:Opply values team-first collaboration. Include examples in your application that illustrate how you've worked effectively in teams, supported colleagues, and contributed to shared goals.
Express Your Passion for Innovation:Convey your enthusiasm for working in a fast-paced startup environment and your interest in automation, AI integrations, and user experience. This will show that you're not just looking for a job, but are genuinely excited about contributing to Opply's mission.
How to prepare for a job interview at Opply
✨Showcase Your Data Engineering Experience
Be prepared to discuss your previous projects in detail, especially those involving data pipelines and infrastructure. Highlight specific challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and experience in a fast-paced environment.
✨Understand Opply's Mission
Research Opply's goals and the impact of their platform on consumer goods brands. Being able to articulate how your role as a Senior Data Engineer contributes to their mission will show your enthusiasm and alignment with the company's vision.
✨Emphasise Collaboration Skills
Since the role requires working closely with other team members, be ready to share examples of how you've successfully collaborated in the past. Discuss how you support your colleagues and contribute to a positive team dynamic, as this is crucial for success in a small team.
✨Prepare for Technical Questions
Expect technical questions related to AWS services, Terraform, and data automation tools. Brush up on your knowledge of these technologies and be ready to explain how you've used them in your previous roles, as well as any innovative solutions you've implemented.
