Data Engineer III at Primer
Dublin, Dublin County, Ireland -
Full Time


Start Date

Immediate

Expiry Date

30 Dec, 26

Salary

50000.0

Posted On

01 Oct, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

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.

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

How To Apply:

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Responsibilities

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.

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

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