Data Engineer Generative AI to Adlibris, Stockholm

Dive into and explore the world of generative AI-solutions and maintain Adlibris Data Lakehouse as a Data Engineer in Stockholm

Are you one who wish to come along with Adlibris on their journey towards providing customers with an e-commerce that is their own digital librarian? With the help of generative AI, you will contribute to building a product recommendation experience worthy of all the millions of remarkable stories that is Adlibris’ book repertoire! Working closely with the business your mission as a Data Engineer within the Data & insight team is to help Adlibris make use of, store and enrich data to create value for the organization.

The Opportunity

At Adlibris you get a supportive environment, challenging projects and opportunities for both personal and professional growth.

You will have a team where your ideas matter and your efforts contribute to tangible results for the business.

A company with an entrepreneurial spirit that welcomes different ideas, opinions and solutions with a collaborative, open and friendly environment.

Here you will be part of cutting-edge projects using Azure Databricks and a thriving community of Data Engineers, Data Scientists, and Business Analysts.

• Develop and maintain pipelines in our Azure Databricks platform.
• Explore and develop how Adlibris uses data, improving product categorization models to create product recommendations using generative AI.
• Support Business Analysts and Data Scientists in data modeling within the Lakehouse architecture.
• Collaborate closely with Market Activation Specialists and Data Scientists to develop automations in personalization and advanced data enrichment.

The Team and Workplace

You will be part of the Data & Insight team at Adlibris, where the goal is to drive insights and develop data-driven, AI-supported automations. The team comprises Data Engineers, Data Scientists, and Business Analysts, working together to integrate data seamlessly into Adlibris´ processes.

The team gathers at the office for 2-3 days a week, while for the rest, you have the freedom to work from wherever suits you best.

About You

Ideal candidates for this position possess a dynamic blend of technical prowess and collaborative spirit. We see that you are curious and have a strong interest in AI and want to explore the possabilities that it provides.To thrive as a Data Engineer, you have gathered a couple of years experience in Data Engineering, building data pipelines in modern lakehouse architecture, previously and preferably working with the Databricks platform and Azure DevOps. We also see that you have a strong command of Python and SQL.

It is meritorious to have a background in a similar role within E-commerce or digital industries.

If you´re someone who enjoys the dynamic intersection of technology and collaboration in an agile environment, who actively seek self-improvement and find motivation in building great solutions, this is the role for you!