Data & Analytics Engineer
Description
För uppdrag hos vår kund i Stockholm säker vi en Data & Analytics Engineer. Beskrivning enligt nedan. Start asap, timpris runt 950 kr.
About the role:
The Data & Analytics Engineering department comprises specialized teams focused on Data Infrastructure Engineering, Analytics Engineering, and Data Management.
We offer a hybrid working model with two common in-office days. While we value flexibility, we also prioritize collaboration, team-building, and enjoying fikas and after-work gatherings together!
Main tasks:
Design and implement efficient data models, focusing on analytics workflows and end-user usability. Build robust and scalable data pipelines to support business intelligence and analytics needs. Collaborate closely with internal stakeholders, such as Risk, Finance, Collections, Marketing and IT, to ensure data solutions align with business needs. Deliver in our top prioritized projects and new markets, such as migration project and new products. Ensure data quality, security, and compliance throughout the analytics lifecycle. Drive technical improvements, introducing modern tools and processes to enhance analytics capabilities. Partner with other engineers to align transformation processes for analytics purposes. We are looking for someone who:
Enjoys working with data & analytics engineering, modern data practices, and creating insights that drive decisions. We believe you are a detail oriented and proactive person who thrives in a collaborative environment and enjoy working in new technologies. You approach challenges with a “can-do” attitude and excel in analytical thinking and problem solving.
For this role you’ll need:
Work experience in a similar role. An related academic technical degree. Proficiency in ETL processes, deg analytics ready datasets, and ensuring clean and usable data for stakeholders. Proficiency in Databricks, dbt (SQL), python and related reporting tools and languages. Experience with Power BI. Strong English skills, with proficiency in Swedish.
It’s a plus if you have:
Experience with Microsoft’s data stack (Azure, SQL, and other cloud services). A background in data roles within the financial sector. Experience from migrations project.
Intresserad kontakta: Klas Lindfors,, mobil: 070−XXX-XXX-XXXX