At a Glance
- Tasks: Lead a dynamic Data team, driving innovation in real-time payments analytics and machine learning.
- Company: Join Primer, a cutting-edge fintech company revolutionising global payments.
- Benefits: Enjoy remote work, competitive share options, uncapped holiday, and a generous learning budget.
- Other info: Embrace autonomy in a fast-paced, supportive culture focused on your success.
- Why this job: Shape the future of payments data while making a real impact in a collaborative environment.
- Qualifications: Experience managing data engineers and a strong technical background in data platforms.
The predicted salary is between 75600 - 92400 £ per year.
An Introduction to Primer
Primer is the unified infrastructure for global payments. We give finance and payments teams the visibility and control to reduce complexity, improve performance, and capture more revenue - all from a single platform.
Which team will you be joining?
Every payment that flows through Primer generates data, and the Data team is what turns that torrent into something merchants and the business can actually use. We build and operate the data platform behind Primer's unified payments infrastructure, the event streaming architecture powering real-time payments analytics, the data lakehouse that makes payments data trustworthy and queryable at scale, and the pipelines that feed everything from merchant-facing insights to internal decision-making.
The team is small and senior - a tight group of data engineers, including Staff-level talent, operating with a high degree of autonomy. Alongside it sits Primer's emerging ML function, which will fold into this role's remit as it matures.
What will you be doing?
- Own delivery end to end across the data platform: streaming, warehousing, modelling, and the pipelines in between, holding the team to a consistent bar on quality and pace without becoming the bottleneck yourself.
- Lead, coach, and grow the engineers on your team: career development, feedback, performance, and building an environment where the team does its best work.
- Stay technically credible. You'll review designs for real-time streaming systems, evaluate trade-offs in warehouse architecture and data modelling, and tell when a pipeline design won't survive contact with systems at production scale.
- Treat data consumers as first-class users. Product teams, finance, and merchants all build on what your team ships, so you'll push for reliable contracts, documented models, and changes that don't silently break downstream.
- Take on the ML function as it grows. You'll own its delivery and people leadership, and shape how ML capability develops inside Primer's data organisation.
- Partner with Product and engineering leadership to shape a realistic roadmap, surface risks early, and protect a small team from over-commitment.
- Drive operational excellence. Data quality monitoring, incident response, and post-mortems that close out their follow-ups, on systems the whole company depends on.
- Own the cost side of the platform. Data infrastructure is one of the fastest-growing line items as Primer scales, so you’ll embed FinOps practices into how the team works - cost visibility, accountability for what you and the product teams run, and drive decisions that weigh spend alongside performance.
What we're looking for
- Experience managing a team of data engineers, with accountability for their delivery, growth, and performance.
- Enough technical depth to be respected by strong engineers. You can interrogate a streaming architecture, spot the wrong trade-off in a data model, and recognise when the information you've been given doesn't add up.
- A background building and operating data platforms at scale - medallion architecture, event streaming, warehousing, transformation frameworks like DBT, ideally where the data directly drives revenue or customer-facing data products.
- Experience coaching engineers across a wide seniority range, including retaining and stretching Staff-level talent.
- Exposure to machine learning. You’ve directly managed or supported ML engineers, understand the lifecycle of models in production, and can credibly lead an ML function as it grows.
- Comfort operating with high autonomy. You resolve ambiguity rather than wait for it to be removed.
Nice to have:
- Experience with payments, fintech, or other finance related domains.
- Familiarity with modern cloud data stacks (we work with technologies like Kafka, Snowflake, Firebolt, and DBT), though depth of engineering leadership matters more than any specific tool.
- Experience with cloud providers and tooling like AWS, Terraform, Kubernetes.
- Familiarity with data mesh concepts. You understand domain-oriented ownership and treat data as a product, driving towards self-serve platforms.
You may not like it here
- Primer is remote-first. There's no office to walk into for context or a read on how things are going, and that applies doubly when you're the one your team looks to for direction.
- The team is small and the surface is broad. You'll own everything from real-time streaming to warehouse modelling with a handful of engineers, and prioritisation calls will be yours to make and defend.
- We keep the management layer thin. You won't have a large support structure above you removing obstacles, and you're expected to stay close enough to the technical work to lead it credibly.
- The ML function is early. You'll be shaping it as it grows rather than inheriting something established, and that means ambiguity about scope, tooling, and direction is part of the job.
✅ A typical interview process
- An initial intro call with a Talent Partner.
- An interview with the Hiring Manager.
- Challenge Stage - Contextualised to the role.
- A final, values-alignment interview.
What's the culture like at Primer?
We're building a culture where people can do their best work and be proud of the impact they have. You'll be working with people who are mission-driven, smart, and reflective, and who are genuinely invested in building exceptional products and delivering success for our merchants.
We work remotely, and have done since day one. We believe that building a successful, profitable company goes beyond proximity. We invest in our relationships through great remote working practices and thoughtfully designed face-to-face time, including workations, our annual company retreat, and access to co-working spaces across most major cities.
The work is challenging. Scaleups are a challenge, and building category-defining products is a challenge. But there's a meaningful difference between a challenge and a struggle. At Primer, the right challenge comes with the right support: strong onboarding, a collaborative environment, and a team that is genuinely invested in your success. It's never something you face alone.
Our benefits
- We are fully remote and globally distributed; and have been since day one.
- Competitive share options.
- Uncapped holiday, with 25 days minimum to be taken.
- Co-working space access across major cities.
- Workations & Company Retreat.
- The best equipment for your role.
- £500 towards your home office setup.
- Generous learning budget.
- Private Medical Insurance.
- A broad set of additional perks and benefits (depending on location).
Don’t meet every single requirement?
At Primer, we're dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't align perfectly with every qualification listed, we encourage you to apply. You may be the right candidate for this or other roles.
Primer is committed to the equal treatment of all current and prospective employees and adopts a zero-tolerance approach to discrimination, regardless of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, marriage and civil partnership, or any other background or belief.
Engineering Manager - Data employer: Primer.io
At Primer, we pride ourselves on being an exceptional employer that fosters a remote-first culture, empowering our team to thrive while making a meaningful impact in the payments industry. With competitive benefits such as uncapped holiday, generous learning budgets, and access to co-working spaces, we ensure our employees have the resources they need to succeed. Join us in a collaborative environment where innovation is celebrated, and every challenge is met with support from a mission-driven team dedicated to building exceptional products.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager - Data
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Primer.io!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Engineering Manager - Data at Primer.io.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Primer.io.
✨Apply Directly through Our Website
When you find a suitable opening like Engineering Manager - Data at Primer.io, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Engineering Manager - Data
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Primer.io, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Primer.io. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Primer.io
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Primer.io!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.