Closes in -12 days

Staff Data Engineer (Analytics Engineering)

Remote SpainCompetitiveRemote0 applicants

About this role

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

Join us in building honest financial products that improve lives.

At Affirm, we’re reimagining credit to make it more transparent and accessible. We believe in empowering people to buy now and pay later, with no hidden fees or compounding interest. Our Data Platform powers the insights and systems that make this possible.

We’re looking for a Staff Data Engineer to design and lead the development of next-generation data infrastructure and pipelines that enable reliable, secure, and scalable access to data across Affirm. This is a highly impactful role where you’ll influence architecture, data strategy, and mentorship across teams.

What you’ll do

Define and lead the technical strategy and roadmap for Affirm’s data infrastructure and analytics platforms.

Architect, build, and scale data pipelines and systems that power analytics, machine learning, and business decision-making.

Partner with cross-functional teams (Engineering and Analytics) to deliver data solutions with measurable business impact.

Champion data quality, observability, governance, and compliance across Affirm’s global systems.

Act as a technical mentor and multiplier, guiding best practices in data modeling, transformation, and code quality.

Drive a culture of operational excellence, ensuring data systems are reliable, performant, and well-monitored.

Collaborate globally to establish consistent technical patterns and elevate the overall data engineering craft.

What We Look For

8+ years of professional experience in Data Engineering or related roles.

Advanced skills in SQL, Python, and modern data transformation tools (e.g., DBT, Airflow).

Expertise with cloud data platforms (e.g., AWS, GCP, Snowflake, BigQuery) and Infrastructure-as-Code tools (Terraform preferred).

Strong background in data modeling, pipeline orchestration, and distributed data systems (e.g., Spark, Kafka).

Proven ability to design, deliver, and maintain large-scale, high-quality data systems.

Excellent communication and collaboration skills; able to lead through influence.

A growth mindset and a passion for mentoring others.

Compensation & Benefits

Base Pay Grade - O

Equity Grade - 5

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

ESP base pay range per year: €96,000 - €126,000

Additional benefits include:

Flexible Spending Wallets for tech, food and lifestyle

Away Days - wellness days to take off work and recharge

Learning & Development programs

Parental benefit

Employee Resource & Community Groups

Location - Remote Spain

We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.

Responsibilities

  • Define and lead the technical strategy and roadmap for Affirm’s data infrastructure and analytics platforms.
  • Architect, build, and scale data pipelines and systems that power analytics, machine learning, and business decision-making.
  • Partner with cross-functional teams (Engineering and Analytics) to deliver data solutions with measurable business impact.
  • Champion data quality, observability, governance, and compliance across Affirm’s global systems.
  • Act as a technical mentor and multiplier, guiding best practices in data modeling, transformation, and code quality.
  • Drive a culture of operational excellence, ensuring data systems are reliable, performant, and well-monitored.
  • Collaborate globally to establish consistent technical patterns and elevate the overall data engineering craft.
  • 8+ years of professional experience in Data Engineering or related roles.
  • Advanced skills in SQL, Python, and modern data transformation tools (e.g., DBT, Airflow).
  • Expertise with cloud data platforms (e.g., AWS, GCP, Snowflake, BigQuery) and Infrastructure-as-Code tools (Terraform preferred).
  • Strong background in data modeling, pipeline orchestration, and distributed data systems (e.g., Spark, Kafka).
  • Proven ability to design, deliver, and maintain large-scale, high-quality data systems.

Requirements

  • Excellent communication and collaboration skills; able to lead through influence.
  • A growth mindset and a passion for mentoring others.
  • Flexible Spending Wallets for tech, food and lifestyle
  • Away Days - wellness days to take off work and recharge
  • Learning & Development programs
  • Parental benefit
  • Employee Resource & Community Groups
  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
  • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

EU Requirements

Job Details

Posted24 February 2026
Closes26 March 2026
Work ModeRemote

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