Data Infrastructure Engineer

24 hours ago


Stockholm, Stockholm, Sweden Safemind AB Full time

At Safemind AB, we believe that data-driven decision-making is critical to driving business success. As a Data Architect, you will be at the forefront of transforming our data landscape, guiding the creation of domain-specific datasets that are scalable, performant, and highly usable for business needs.

About the Role

This is an exciting opportunity to work on high-impact projects, collaborating with cross-functional teams to deliver business-critical insights. You will be responsible for designing and implementing data models, providing expertise in data modelling and analytics, and working with various data types to drive business decision-making.

We value strong interpersonal skills and the ability to adapt to various roles and responsibilities within our team.

Key Responsibilities:

  1. Develop and maintain data models to support business decision-making, ensuring scalability, performance, and usability
  2. Provide expertise in data modelling and analytics, guiding team members in developing domain-specific datasets
  3. Collaborate with analysts, data engineers, and stakeholders from different departments to drive business insights
  4. Optimise existing data models to meet evolving business requirements and use cases
  5. Define and promote best practice standards across the team, ensuring good data quality and a reliable source of truth for the organisation
About You

For this role, we are looking for someone with excellent analytical skills, solid judgment, and a strong understanding of business analytics needs. You should have a minimum bachelor's degree in computer science, industrial economics, finance or business analytics, and proven experience in data modelling, business intelligence, and analytics.

Desired Skills and Qualifications:

  1. Strong understanding of business analytics needs and the ability to translate them into technical solutions
  2. Proven experience in data modelling, business intelligence, and analytics
  3. Strong understanding of analytics best practices and star schema design
  4. Strong problem-solving abilities and attention to detail, with a focus on data quality
  5. Previous experience in a similar role within a business analytics environment
  6. Experience with data warehousing concepts and business intelligence tools
  7. Strong knowledge of SQL and other data manipulation languages


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