Software Engineer (Data)

Primer; United Kingdom; Remote; GBP 80,000 - 110,000; Full time

Benefits offered by this job

Remote-first culture

Competitive share options

Uncapped holidays (25+ days)

Job summary

Primer is building the payments infrastructure that powers global commerce. As a Software Engineer focused on data, you will craft scalable data systems and tools that empower analytics, product features and ML across a remote-first org.

You’ll own pipelines, transform data with dbt, and collaborate with product and engineering to ensure reliable, observable data platforms in the cloud.

Qualifications

• Proficient in Python and SQL and data pipeline work.
• Experience building batch/streaming data pipelines in production.
• Familiar with cloud-native infrastructure (AWS, Kubernetes) and IaC (Terraform).
• Ability to design reliable, tested data systems and APIs for analytics and ML.

Responsibilities

• Own batch and streaming data pipelines, including CDC feeds into Snowflake.
• Design internal tools and APIs to make data usable for analytics, product features, and ML.
• Model and transform data in dbt; ensure warehouse as truth source.

Skills

Python

SQL

Data pipelines

Cloud-native

Software engineering fundamentals

Distributed systems

Education

Bachelor's degree

Tools

Snowflake

dbt

AWS

Kubernetes

Terraform

Job description

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.

Watch our showcase >

Read up on our $100m Series C

Learn more about our culture >

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.

What will you be doing?

• Own batch and streaming pipelines, including CDC feeds from operational databases into Snowflake, and make them reliable enough that other teams stop thinking about them.
• Design the internal tools and APIs that make data usable for analytics, product features and machine learning.
• Model and transform data in dbt so the warehouse is a source of truth people trust, not a pile of tables nobody can explain.
• Decide how data should be stored and moved across CockroachDB, DynamoDB, Elasticsearch and Snowflake, and build the path between them.
• Ship pipelines with the same standards as any production service: tests, CI/CD, containers, and observability through OpenTelemetry and Datadog.
• Take a multi-component data project from scoping through to rollout, bringing other engineers into the design along the way.

What we’re looking for

Must-haves:

• Strong software engineering fundamentals: tested, reviewed code with clean abstractions.
• Proficiency in Python and SQL.
• Hands-on experience building and running batch or streaming data pipelines in production.
• Comfort across cloud-native infrastructure, ideally AWS, Kubernetes and Terraform.
• Clear written and verbal communication, and a habit of sharing what you learn.

Nice to have:

• Working experience with Snowflake and dbt.
• Experience with CDC tooling or streaming systems.

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.

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

Workations & Company Retreat

The best equipment for your role

£500 towards your home office setup

Generous learning budget

A broad set of additional perks and benefits (depending on location)

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.