Remote Data Engineer III — Scale Data Pipelines

Primer; Ireland; On-site; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Remote-first culture

Workations & Company Retreats

Generous learning budget

£500 home office stipend

Job summary

Primer is seeking a software engineer who thrives at the intersection of data, software and infrastructure. You will build internal tools, pipelines, and APIs that support analytics, product features, and machine learning applications.

You’ll collaborate with product and engineering teams to make our data infrastructure seamless, reliable, and scalable. Strong Python and SQL skills, and experience with batch and streaming pipelines are essential.

Qualifications

• 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.
• 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.

Responsibilities

• Build internal tools, pipelines, and APIs to support analytics, product features, and ML applications.
• Collaborate with product and engineering teams to make data infrastructure seamless and reliable.
• Work across cloud stack and data platforms to ensure scalable data processing.

Skills

Strong software engineering

Python

SQL

Data pipelines

Batch & streaming

Data warehouses

dbt

Clear communicator

Detail-oriented

Team player

Adaptable

Tools

Snowflake

dbt

CockroachDB

DynamoDB

Elasticsearch

Job description

Primer is seeking a software engineer who thrives at the intersection of data, software and infrastructure. You will build internal tools, pipelines, and APIs that support analytics, product features, and machine learning applications.

You’ll collaborate with product and engineering teams to make our data infrastructure seamless, reliable, and scalable. Strong Python and SQL skills, and experience with batch and streaming pipelines are essential.