At a Glance
- Tasks: Design and build data systems that empower analytics and machine learning applications.
- Company: Join Primer, a remote-first company revolutionising global payments.
- Benefits: Enjoy uncapped holiday, competitive share options, and a generous learning budget.
- Other info: Collaborative culture focused on personal growth and meaningful challenges.
- Why this job: Make a real impact in a dynamic environment with cutting-edge technology.
- Qualifications: Proficient in Python and SQL, with experience in data pipelines and cloud ecosystems.
The predicted salary is between 51750 - 63250 £ 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. Backed by Sofina, Peak XV Partners, ICONIQ, Tencent, Accel, and Balderton, we're building the payments layer the world's best companies rely on.
What We’re Looking For
We're looking for a software engineer who thrives at the intersection of data, software and infrastructure. You've worked in data-intensive environments and enjoy designing clean systems that move and transform data at scale. You’re someone who approaches data engineering as a software discipline — building reliable, tested, maintainable systems that empower others.
You'll work on building internal tools, pipelines, and APIs that support analytics, product features, and machine learning applications. You'll collaborate closely with both product and engineering teams to make our data infrastructure seamless, efficient, and delightful to use.
Stack
- Cloud: AWS
- Data Stores: Relational and non-relational e.g. CockroachDB, DynamoDB, Elasticsearch
- Data Warehouse: Snowflake
- Processing: Batch & streaming including CDC pipelines
- Languages: Python
- Infrastructure: Kubernetes + Helm, Terraform (IaC)
- Orchestration & Transformations: dbt
- Observability: OpenTelemetry, Datadog
- Dev Practices: CI/CD, automated testing, containerisation
Core Skills
- Strong software engineering fundamentals: testing, code reviews, clean abstractions
- Proficient in Python and SQL
- Comfortable working across infrastructure and data systems
- Experience building and maintaining batch and/or streaming data pipelines
- Familiarity with modern data warehouses (e.g., Snowflake) and transformation tools like dbt
- Comfortable navigating cloud-native ecosystems (AWS, K8s, Terraform)
Mindset & Collaboration
- Clear and thoughtful communicator (written and verbal)
- Detail-oriented
- Team player (“our code,” not “my code”)
- Eager to learn and share
- Adaptable — comfortable with ambiguity and shifting priorities
You may not like it here if:
- You enjoy working in an office-setting, we are remote-first and always will be!
- You are not comfortable with shifting context and navigating ambiguity
- You don’t enjoy testing your code, we have no testers or QA’s here at Primer
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.
Data Engineer III 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 Data Engineer III
✨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 Data Engineer III 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 Data Engineer III 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 Data Engineer III
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.