Analytics Engineer
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Do you have strong technical skills and experience with building data warehouse(s) combined with a good understanding of solving business problems with data? Then we offer you the opportunity to become part of the Shared Data Product team at Tryg!
About us | Experience a culture of trust, cooperation, and co-development
This is the right moment to join us, as we focus strongly on digitalization and innovation of our services and business processes. You will be part of our Nordic data group, which is responsible for all things data.
We have just expanded Tryg significantly and we are on an organizational journey to become more data-driven. The journey so far has been focused on building a common data provisioning platform. The platform is a cloud-based real-time streaming platform, built on open-source technology (Kafka, Kubernetes, CI/CD).
The next step of the journey is to take this data unity to the next level by building a consumption layer supporting business analysts. In contrast to a traditional data warehouse we focus on delivering a subset of common data products ourselves and have developers in other business units extend them using git-based collaboration processes.
This means that you as an Analytical Engineer will need to work on specific data products, where you are a main deliverer. But equally important, you have to be able to create and support a co-creation environment where developers from the different areas of the business can contribute and put speed on the development of data products for their specific areas.
About the role | Working in the space between the data platform and the consumer
You will be a part of the Shared Data Product team, a growing team of four people, including you. As an Analytical Engineer, you will be working in the space between the data platform and the consumer, and converting the raw data of the platform into a foundation that can be used by consumers.
As part of this, you need to be able to share and adapt your ways of working and together with the rest of the team convert it into clear git-based processes for working with the code.
You need to engage with both data engineers to understand the data implementation and the business analysts/business owners to understand the business context to drive the generation of data products.Your first assignment will be to work on a data product for commission payment while contributing to the process and build-up of the team itself.
Your key tasks are:
About you | Passion for working with a modern data warehouse set-up including data modeling
We imagine that you have a strong technical skillset from a modern data warehouse set-up including data modeling:
It is an advantage if you have experience in the insurance industry and in streaming architecture vs. batch architecture as well as an understanding of the ACORD model.
To be successful in the role you must be self-driven and strive to challenge the status quo in order to deliver high-quality data products. Also, we imagine that you will be a promoter of the organizational change needed to adapt to new ways of working.
We look forward to hearing from you!
If you have questions about the position, please contact Matilde Goul Dueholm at +45 42 92 62 81 or [email protected].
Please send your application as soon as possible and no later than 1 November 2023.
We’ll be evaluating applications and conducting interviews continuously, and the position will be taken down when the right candidate is found.
About us | Experience a culture of trust, cooperation, and co-development
This is the right moment to join us, as we focus strongly on digitalization and innovation of our services and business processes. You will be part of our Nordic data group, which is responsible for all things data.
We have just expanded Tryg significantly and we are on an organizational journey to become more data-driven. The journey so far has been focused on building a common data provisioning platform. The platform is a cloud-based real-time streaming platform, built on open-source technology (Kafka, Kubernetes, CI/CD).
The next step of the journey is to take this data unity to the next level by building a consumption layer supporting business analysts. In contrast to a traditional data warehouse we focus on delivering a subset of common data products ourselves and have developers in other business units extend them using git-based collaboration processes.
This means that you as an Analytical Engineer will need to work on specific data products, where you are a main deliverer. But equally important, you have to be able to create and support a co-creation environment where developers from the different areas of the business can contribute and put speed on the development of data products for their specific areas.
About the role | Working in the space between the data platform and the consumer
You will be a part of the Shared Data Product team, a growing team of four people, including you. As an Analytical Engineer, you will be working in the space between the data platform and the consumer, and converting the raw data of the platform into a foundation that can be used by consumers.
As part of this, you need to be able to share and adapt your ways of working and together with the rest of the team convert it into clear git-based processes for working with the code.
You need to engage with both data engineers to understand the data implementation and the business analysts/business owners to understand the business context to drive the generation of data products.Your first assignment will be to work on a data product for commission payment while contributing to the process and build-up of the team itself.
Your key tasks are:
- Providing “clean” transformed data ready for analysis
- Apply Software engineering best practices to analytics code (version control, testing, continuous integration)
- Write complex SQL transformations, and maintain our data transformation codebase using dbt
- Maintain data documentation and definitions
- Think compliance first in the build of data products
- Automation and streamlining of key data processing jobs (Data cleaning, historizing).
About you | Passion for working with a modern data warehouse set-up including data modeling
We imagine that you have a strong technical skillset from a modern data warehouse set-up including data modeling:
- Applied experience with the entire data modeling journey
- Minimum SQL/DBT/Gitlab
- Preferred: Cloud, Kubernetes, Python, JSON, GraphQL, YAML, and DataOps processes
- Architectural understanding
- Structured approach/process building
- Strong problem-solving and analytical skills
- Willingness to learn and adapt to new technologies
- You communicate clearly in English and preferably in one Scandinavian language, both verbally and in writing.
It is an advantage if you have experience in the insurance industry and in streaming architecture vs. batch architecture as well as an understanding of the ACORD model.
To be successful in the role you must be self-driven and strive to challenge the status quo in order to deliver high-quality data products. Also, we imagine that you will be a promoter of the organizational change needed to adapt to new ways of working.
We look forward to hearing from you!
If you have questions about the position, please contact Matilde Goul Dueholm at +45 42 92 62 81 or [email protected].
Please send your application as soon as possible and no later than 1 November 2023.
We’ll be evaluating applications and conducting interviews continuously, and the position will be taken down when the right candidate is found.
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i Ballerup.
Jobbet er oprettet på vores service den 5.9.2023, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
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