Finance Analytics Engineer — Data Pipelines & Reporting

Scopely; Barcelona; Hybrid; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Hybrid work model

Financial controls knowledge

Gaming industry experience

Data governance practices

Looker/BI tooling knowledge

GCP/Cloud data tooling

Job summary

Scopely is seeking an Analytics Engineer, Finance to join our Finance team in Barcelona, Spain on a hybrid basis, working 3 days a week from our hub.

You will build and maintain automated data pipelines and reporting models to improve the reliability of Finance data for monthly close and revenue reporting, collaborating with stakeholders across Finance and Looker teams to deliver governed insights.

Qualifications

• Strong SQL skills and experience developing and maintaining production data transformations.
• Experience with modern cloud data warehouses (BigQuery, Snowflake, or Redshift).
• Experience with data transformation frameworks (dbt, Dataform, or equivalent).
• Knowledge of Git, version control, code reviews, and collaborative software development practices.
• Familiarity with data-quality checks, automated testing, monitoring, or reconciliation processes.
• Strong debugging and problem-solving skills, including working with inherited systems.
• Experience with Finance data (month-end close, accounting, revenue accounting).
• Ability to communicate technical concepts to non-technical stakeholders and collaborate across teams.
• Openness to AI-assisted tooling to improve SQL development and workflow efficiency.

Responsibilities

• Partner with Finance stakeholders to translate business requirements into technical solutions with guidance from experienced engineers.
• Develop, maintain, and troubleshoot data pipelines, SQL transformations, and reporting models for monthly close and revenue reporting.
• Investigate missing or incorrect financial data, identify root causes, and implement reliable fixes.
• Modernize legacy SQL, workflows, and manual processes into maintainable pipelines using dbt.
• Build and improve automated data-quality checks, reconciliations, monitoring, and alerts for Finance data workflows.
• Apply Git, code review, testing, and deployment practices to improve data assets quality.
• Support automation of spreadsheet-based processes and maintain technical runbooks and recovery procedures.
• Collaborate to apply governance within the Looker semantic and reporting layer.

Skills

SQL

Cloud Data Warehouses

dbt/Dataform

Git & reviews

Data quality checks

Debugging

Finance data

Stakeholder comms

AI-assisted SQL

Tools

Looker

Job description

Scopely is seeking an Analytics Engineer, Finance to join our Finance team in Barcelona, Spain on a hybrid basis, working 3 days a week from our hub.

You will build and maintain automated data pipelines and reporting models to improve the reliability of Finance data for monthly close and revenue reporting, collaborating with stakeholders across Finance and Looker teams to deliver governed insights.