Data Engineer

TL;DR

Data Engineer (Python/SQL): Building and operating a modern data platform and user-friendly data products with an accent on production-grade data pipelines, data modeling/testing in dbt, and reliable ingestion/transformation. Focus on ensuring performance and reliability while partnering across product, operations, finance, and risk/compliance to deliver measurable analytics and reporting.

Company

hirify.global builds a user-friendly investment platform for crypto, stocks, and commodities with a modern data platform supporting advanced analytics.

What you will do

• Build and operate a data platform that enables decision-making across the company with performance, reliability, and usability in mind.
• Design and evolve the core data model for advanced analytics and reporting, defining data quality, governance, and lifecycle standards.
• Design, implement, and maintain robust, observable data pipelines for ingestion and transformation.
• Apply engineering best practices including testing, code reviews, CI/CD, and versioning.
• Collaborate with stakeholders across product, operations, finance, risk/compliance, and engineering to turn business goals into data solutions.
• Contribute to team strategy and roadmapping to align technical delivery with organizational goals.

Requirements

• Production-grade dataflows using Python and SQL.
• Experience scheduling/operating pipelines with Airflow or Dagster.
• Modeling and testing transformations in dbt.
• Comfort with AWS (GCP/Azure welcome) and provisioning cloud resources in code with Terraform (or similar).
• Experience operating Snowflake, including structuring roles/permissions and optimizing performance and cost.
• Strong understanding of data quality and governance fundamentals (validation, documentation, lineage, privacy).

Nice to have

• Experience with Kubernetes, Kafka, RudderStack/Segment, DataHub, Apache Iceberg (or other open table formats), and A/B testing/feature flags.

Culture & Benefits

• Hybrid working model combining onsite collaboration and remote work.
• 25 additional days per year to work from a city or country of your choice.
• Competitive total compensation with participation in a stock option plan.
• Access to confidential coaching, counselling, and mental health resources via OpenUP.
• 3 extra paid days off after 6 months, plus additional new parent leave (8 weeks).
• Onsite dining in Vienna, Bucharest, Barcelona, and Berlin.

Hiring process

• Interviews to assess technical fit and collaboration approach.
• Evaluation of experience with data engineering practices and tooling.
• Final discussions to align on role expectations and working model.

Location: Barcelona, Spain