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Data Engineer - Risk Analytics

Data Engineer - Risk Analytics


We are looking for talented junior and senior developers to join our Intelligent Products teams as we shape the future of intelligent guarding and security. Early development is headed by teams in Malmö, as we deploy products across the globe in the coming years and start up new development teams around the world. By joining the Crime Prediction team, you will be given a chance to help roll out live products and join in the development of software pipelines used to deploy market-leading intelligent data models used by thousands around the globe. If you are ambitious, love coding, and have experience taking control of the codebase to create well-organized software projects, this is the role for you!


  • You will be working closely together with our awesome team of data scientists and backend developers to design and guide the development of a solid framework for the code to go from local to a global product.
  • You will be working with both machine learning solutions and along experienced cloud developers while helping to providing state-of-the-art deployments within crime prediction, risk analysis, and pattern detection.


  • Well-experienced programming in Python and at least one more language
  • Background in computer science, software engineering or a similar IT-related education
  • Have a good grasp of computer-science concepts such as data structures (tree structures, list comprehension, etc.)
  • Having worked with version control such as Git
  • Data preprocessing and transformation (ETL)
  • Fluent in English
  • The ability to quickly learn new technologies and successfully implement it


  • Interest in machine learning and data analysis
  • Experience working with one or more of the following: Apache-Spark, Azure or AWS, Docker
  • Experience working with a remote cloud or cluster in a terminal, e.g. through ssh
  • Good understanding of basic computer science algorithms
  • Comfortable with threads and parallel computing
  • Big data frameworks such as Spark

About Securitas

Securitas is a global knowledge leader in security and one of the largest security companies in the world with more than 335.000 employees worldwide. We base our protective services on customer-specific needs through different combinations of on-site, mobile and remote guarding, electronic security, fire and safety and corporate risk management. Everywhere from small stores to airports, our employees are making a difference.

What we offer

  • You will take part in technology transformation, intelligent products, enterprise architecture, and our partners, in defining, developing and implementing the next generation security platform.
  • We offer you the chance to work with both cloud computing and machine learning - the two most sought after skills on the market! As a data engineer, we offer you the chance to build the best possible CV in leading the code development of a global intelligent security products. Malmö is the first hub for intelligent products that will go global in the near future, creating more teams around the world from Europe to both North and South America and Asia.
  • Expect a good salary and easy commuting! The office is near the central station in Malmö (less than 10 mins walk), and if you live in Copenhagen (commuting those pesky ~50 min) you will have other great perks that makes the commute more than worth it (https://www.oresunddirekt.dk/oekonomi/skat-i-sverige/sink-skat-i-sverige).
  • A space to further educate yourself through conferences, workshops and more.
  • And of course friendly colleagues, a nice office environment, and great company perks.

Malmö is only where it starts and we are already global. 

We look forward to meeting you!



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We Make A Difference Every Day!

We work in an international, explorative, hands-on and dynamic business environment with customers and users in focus. 

Our core values: Integrity, Vigilance and Helpfulness - are foundations that enable us to build trust with customers, colleagues, partners and our community.

We love going to work and doing what we do.

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