Posted:
9/12/2024, 3:17:29 AM
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
DevOps & Infrastructure ⋅ Software Engineering
Storebrand aspires to be a data-driven company, leveraging technology to create new business opportunities and deliver products that resonate with our users. We recognize the crucial role of a modern, cloud-enabled data and analytics platform in achieving this ambition.
We are looking for a data platform engineer that will be part of the central team that develops and is responsible for our data- and analytics platform. The position is in Storebrand’s Center of Excellence for Data & Analytics. This business unit is placed centrally in the Storebrand Group and has responsibility and ownership of processes that spans the different business units of Storebrand.
About the team!
You will be joining the platform-team which is responsible for creating a scalable and high-quality data- and analytics platform that accommodate Storebrand's evolving data and analytical needs. We believe in distributed data ownership and our goal is that the data teams across Storebrand have a high degree of self-service when it comes to working with data.
As a data platform engineer, you will play a central role in designing and creating a superior developer experience across best-of-breed tools for scaling our data platform. Responsibilities include setting up infrastructure, integrating key components, building data pipelines, and contributing to core data models. Your focus will extend to enabling data teams to build self-service data products while ensuring high standards for security and compliance.
Our tech stack
You will be working with a wide range of modern tools and technology. Microsoft Azure is our preferred cloud vendor, with both Snowflake and Databricks as the core components of the data platform. We are using dbt cloud as our transformation tool, with supporting tools like Dagster for orchestration and Github and Github Actions for version control and CI/CD. We use Terraform for infrastructure as code. We also use tools like dlt, Sling and Qlik Replicate for ingest of data. PowerBI is used as the BI reporting tool, while we are using Streamlit for data apps.
What you will be doing
At Storebrand, you can look forward to a work environment with a high degree of variety. A typical week will encompass a diverse set of tasks, such as developing data products, infrastructure setup and maintenance, ingestion of data from source systems, and user and developer interaction.
As a data platform engineer you will take a lead role in creating and refining the developer experience of working with data in Storebrand. You will take responsibility of developing data products within the data platform team, emphasizing data observability and monitoring. Furthermore, you will use these data products to identify areas for improvement, contributing to the continual enhancement of our data platform. In collaboration with Cloud Center of Excellence, security and identity-teams in Storebrand, you will also maintain and optimize a robust and secure infrastructure for the data platform.
You will be a vital member of the team dedicated to creating and maintaining data ingestion from a diverse array of source systems across Storebrand. You will enable data teams by ensuring a smooth flow of data to the platform, supporting their analytical and operational needs.
Lastly, you will act as a key resource and technical advisor for members in data teams across Storebrand. By maintaining a close contact with users and developers of the data platform, you will ensure a clear understanding of their needs and challenges and proactively address queries and concerns from developers on the platform.
Who are you?
You likely hold a technical degree and possess a genuine curiosity for working with data and technology. Proficiency in Python and/or other programming languages, as well as SQL, is crucial. Experience with infrastructure as code and system integrations is a plus. Hands-on experience with technologies like Databricks, Snowflake, Azure, Github, Terraform, dbt, and Dagster is beneficial but not mandatory.
If you are passionate about tackling solid technical challenges and improving the daily work experience for those working with data at Storebrand, we invite you to apply and be a key contributor to our evolving data and analytics platform.
Why choose Storebrand?
At Storebrand we encourage our employees to take up space and voice their opinions. We facilitate personal development and learning through continuous competence development in the form of professional groups, conferences, training, and innovation days.
We believe in the value of having different perspectives and backgrounds in our organisation, and therefore work actively to create a social environment that is inclusive and diverse. We have been recognized for this work by, for example, the awarding of the SHE-index prize for 2023 and 2024, an equality index that measures and compares the gender balance in companies.
We are based in Lysaker, centrally located near public transport, and with ample capacity for bicycle parking and changing rooms. We are also concerned about your health and have good agreements with doctors, psychologists, as well as occupational health services. Our premises also house a chiropractor/physiotherapist and a wide range of training opportunities through well-equipped training rooms and our own gymnasium.
Furthermore, as an employee, you will enjoy a very good pension scheme, favourable insurances in addition to a subsidized employee loan for home purchase.
Application deadline: 11.10.2024.
We accept applications in both Norwegian and English.
Questions about the team or the role? Contact Eivind Berg (Tech Lead Data Platform) at [email protected] and +47 93412141.
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