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5 дней назад

Senior Data Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Engineer (Fintech/AI): Owning and scaling Anyfin's end-to-end data platform from ingestion and CDC through BigQuery, Airflow, dbt, and the semantic layer with an accent on data architecture, modelling, governance, and trusted metrics. Focus on integrating new products and markets, designing data contracts for both people and agentic systems, and building reliable business intelligence foundations.

Location: Stockholm, Sweden; office-based. EU work authorization is required.

Company

hirify.global is a fintech that helps consumers refinance expensive consumer credit, reduce loan costs, and improve their financial wellbeing.

What you will do

  • Own the end-to-end data architecture from production data ingestion and CDC through the aggregated warehouse.
  • Design and maintain a semantic layer with trusted metrics and shared business definitions.
  • Integrate internal systems and third-party providers as hirify.global launches new products and enters new markets.
  • Establish practical data governance, ownership, and quality standards.
  • Define how business intelligence is built and consumed across the organisation.
  • Build reliable pipelines, interfaces, and data contracts for both human users and agentic AI systems.

Requirements

  • Solid background in data engineering, ideally in product-focused startups or scaleups.
  • Production-ready Python and SQL skills.
  • Production experience running Airflow, BigQuery, and dbt.
  • Deep expertise in data modelling, pipeline design, and warehouse architecture.
  • Ability to make architectural decisions independently and reason clearly about trade-offs.
  • Ability to explain technical decisions to both technical and non-technical stakeholders.

Culture & Benefits

  • Work from the Stockholm office, with in-person collaboration considered important for product and culture building.
  • Work in a small engineering team with significant ownership and initiative.
  • Collaborate with analysts, data scientists, product teams, and engineers.
  • Contribute to an AI-connected data and code environment used across engineering, analytics, operations, and product.

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