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Senior Data Engineer - Data Platform

Формат работы
hybrid
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 - Data Platform (Data Platform/Kafka/Python): Building and scaling Aira's data platform, including batch and streaming pipelines, data serving capabilities, and self-service data products with an accent on Data Mesh, reliability, governance, and observability. Focus on designing distributed data architectures, enabling domain teams to manage data assets, and solving platform scalability and complexity challenges across the organisation.

Location: Stockholm HQ, hybrid

Company

hirify.global develops clean energy technology, including heat pumps, solar power, and battery storage solutions, to reduce residential emissions and energy costs across Europe.

What you will do

  • Build, improve, and maintain the data platform.
  • Develop and operate batch and streaming data pipelines.
  • Work with domain teams to establish and evolve data serving pipelines and data assets through a Data Mesh approach.
  • Enable analytics engineers and domain experts to build data products, self-service analytics, and data science solutions.
  • Improve platform reliability, governance, observability, and performance.
  • Contribute to architecture decisions, platform direction, and the adoption of technologies that solve real problems.

Requirements

  • Several years of experience in data engineering and production systems at scale.
  • Experience with modern data platform architectures and Data Mesh.
  • Experience building production-grade data pipelines and ELT/ETL solutions.
  • Knowledge of Kafka and streaming architectures, databases, and pipeline architecture.
  • Experience with Infrastructure as Code, cloud platforms, and distributed systems.
  • Ability to move between hands-on implementation, architecture discussions, stakeholder management, and cross-team technical decision-making.

Nice to have

  • Experience from product companies, consulting, platform engineering, backend development, or infrastructure roles.
  • Familiarity with GCP, AWS, Azure, Python, SQL, Dagster, dbt, dlt, Terraform, GitHub Actions, and Kubernetes.

Culture & Benefits

  • Work in the clean energy technology sector on solutions for reducing residential emissions and energy costs.
  • Collaborative environment focused on diversity, inclusion, equality, and innovation.
  • Opportunity to influence how teams across the organisation build and use data.
  • Full-time employment in a hybrid work format.

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