Head of Data Engineering and Analytics

21 hours ago


Helsinki, Uusimaa, Finland The Upright Project Full time

The Upright Project is seeking a Senior Data Engineering Manager to lead our data engineering function, overseeing multiple teams responsible for developing our key datasets. Your mission will be to drive the coverage, quality, relevance, and transparency of our impact data, ensuring that it becomes the go-to source for understanding companies' real-world impact.

You will work closely with talented software engineers, data scientists, machine learning experts, and data analysts to push the boundaries of how our data can be used to measure impact at scale. With your expertise in modern data science and data engineering technologies, including data/ETL pipelines, you will develop high-quality software with Typescript and Python, and ensure seamless integration with our Net Impact Platform.

We are looking for an experienced leader who is passionate about driving excellence and has a proven track record of exceeding expectations. If you have a solid understanding of the whole software lifecycle, including design, development, deployment, and operations, and are able to communicate complex ideas clearly both verbally and in writing, we want to hear from you.

About The Upright Project:

We are a quickly growing and highly ambitious impact SaaS company on a mission to incentivize companies to optimize their net impact by enabling science-based decision-making for investors, customers, employees, and public sector agents. Our proprietary data model is based on an open-access database of 200M+ scientific articles and artificial intelligence to quantify the net impact of companies on people, planet, society, and knowledge creation.

Job Description:

The Senior Data Engineering Manager will be responsible for leading our data engineering function, overseeing multiple teams responsible for developing our key datasets. This includes:

  • Leading the development of our key datasets, ensuring accuracy, completeness, and consistency
  • Collaborating with cross-functional teams to integrate data into our Net Impact Platform
  • Developing and implementing data governance policies and procedures
  • Ensuring data security and compliance with relevant regulations
  • Driving innovation and continuous improvement in data engineering practices

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