Software engineer – Data Platform

How do you make our customers happy?

All our colleagues want to use data to improve the quality of their decisions to positively impact our customers’ lives and partners’ businesses. We are building a self‑service data architecture that empowers teams to satisfy their data needs autonomously — and now we are taking the next step: making our Data Platform intelligently proactive, delivering personalized insights to the people who need them, when they need them.

In this context, the Data, Analytics & AI department is evolving bol’s Data Platform from infrastructure into an intelligent analytics layer. We serve the entire bol organization, where every department or domain has its own challenge. How do you move beyond dashboards toward agentic analytics, systems that surface relevant insights, answer questions conversationally, and act on behalf of users? How do you do that in a decentralized setup, with enthusiastic data engineers and analysts who want state‑of‑the‑art tools but also have to comply with rules & regulations?

How do we get qualitative insights on the effectiveness of our product teams to decision makers, without them having to go looking?

Can you help us achieve this goal?

Our Data department is taking the Data Platform to the next level. A huge challenge because we serve the entire organization, and every department presents unique data challenges.

How can we build an analytics experience that feels personal — where insights find the user, not the other way around?

How can we empower enthusiastic analysts who want to push agentic and conversational tools to their full potential while still complying with all applicable rules and regulations?

How can we inspire engineers to make data easily accessible, semantically rich, and ready for intelligent consumption?

And what options should we explore to monetize our data and intelligence capabilities internally and externally?

Where do you land?

Team’s vision is to enable data and AI use cases for users to independently build and operate data products by providing standardized, opinionated tooling, clear abstractions, and guardrails for security, compliance, and cost. Some parts are already in place and it is expected from the new team member to help us figure out which components need to be added to build a reliable set of tools to serve data.

This role is made for a highly driven Engineer with strong Kotlin and Java skills and thrives in the face of change and uncertainty.

The Software Engineer will play a critical role in designing, developing, and maintaining robust data infrastructure to support a scalable and efficient internal data platform. You will design and deliver core data platform capabilities such as standardized ingestion frameworks, data quality and observability tooling, metadata and governance services, and enable data to be consumed by both analytical workloads and AI‑driven applications.

The software engineer that the team needs is a software engineer who is eager to understand the complexity of creating tools used by hundreds of teams.

You combine your deep technical expertise with the ability to make complex concepts accessible to a diverse audience.

• Define, build and maintain the internal data platform to support data ingestion and data quality.
• Enable self‑serve capabilities of the data platform.
• Ensure the platform’s cost efficiency, performance, and security.

• Work in close cooperation with cross‑functional teams, like Platform Teams, Security Department, Analytics Engineers and Business users to understand data requirements and ensure the data platform meets their needs.
• Proactively collaborate with the team and Product Manager, actively contributing to discussions, adapting to change and evolving needs, and taking initiative to ensure clear alignment and continuous progress.

• Implement security policies to protect sensitive data.
• Ensure compliance with relevant data privacy regulations.

• Evaluate and incorporate new technologies,…