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Hybrid Data Engineer Data Engineer

HiCareer · United Kingdom · Hybrid

About the job

HiCareer is thrilled to partner with a fast-growing Fintech company in Stockholm to build a strong Data & Analytics foundation to transform financial services for small and medium-sized businesses. They're now looking for a Data Engineer to expand their data infrastructure and make data-driven decision-making more accessible.


About the Company

This Stockholm-based Fintech company is rethinking how financial services are delivered to SMEs. With a strong focus on technology, they're creating innovative solutions to make financial processes simpler and more transparent. Their team operates remotely-first, giving you the flexibility to work from wherever you feel most comfortable, with occasional visits to the Stockholm HQ.



The Role

As a Data Engineer, you will be at the core of the company’s data ecosystem, ensuring the data infrastructure is efficient, scalable, and reliable. You’ll be responsible for developing, optimizing, and maintaining data pipelines that deliver valuable insights for both the product and various business functions.


Responsibilities include:
  • Building and maintaining data pipelines that collect, store, and transform data from various sources.
  • Working closely with the Data Analysts and BI Developers to ensure data availability and accessibility.
  • Implementing best practices for data storage, ensuring high data quality, and building automated validation checks.
  • Scaling the company’s data infrastructure as they grow, ensuring the performance and reliability of data systems.
  • Assisting in data modeling efforts to build a clean and efficient data architecture.


Tech Stack
  • Cloud Platforms: Google Cloud Platform, AWS, or Azure.
  • Data Storage: BigQuery, Snowflake, or other scalable cloud databases.
  • ETL Pipelines: Airflow, dbt, or similar.
  • Programming Languages: Python, SQL.



Who You Are

You are an experienced Data Engineer with 3+ years of hands-on experience building and maintaining data pipelines in a cloud environment. You are detail-oriented and proactive, always on the lookout for ways to make data systems more efficient and reliable.


You bring:
  • Strong SQL skills and experience with ETL/ELT processes.
  • Proficiency in Python and cloud platforms like Google Cloud, AWS, or Azure.
  • Experience building scalable data solutions in a growing company environment.
  • The ability to work independently in a remote-first setup while collaborating effectively with the rest of the data team.



Why Join?

Joining this company means getting in on the ground floor as they scale up their data capabilities. You’ll have a chance to work in a modern tech environment with a focus on innovation. You will also be offered a competitive salary and stock options, along with the freedom to work remotely.



If you’re excited about scaling data systems and love working in a fast-paced startup environment, we’d love to chat with you!