Java/Kotlin Software Engineer, Data Tracking

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Digital New Agency

WebsiteLinkedInAll Job Openings

51 - 200 employees

Digital New Agency (DNA) supports clients in the areas of new technologies and marketing. The expertise of DNA stretches from building engineering teams that build digital products to creating and executing sales-driven media strategies. DNA offices are located in Stockholm, Sweden and Łódź, Poland.

📋 Description

• Improve and standardize tracking events across product ecosystem. • Investigate where particular events are generated and identify the relevant projects, repositories and system owners. • Design and implement backend and API changes using Java and Kotlin. • Integrate behavioural data with Segment and the wider data ecosystem. • Make necessary adjustments in the React-based web application when required. • Raise technical risks, clarify dependencies and involve other developers when a change requires broader coordination. • Move between different repositories and systems while taking ownership of each topic from discovery to delivery.

🎯 Requirements

• Strong commercial experience with Java and Kotlin (min. 5 years of experience) • Experience working with existing systems and navigating multiple repositories or codebases. • A proactive discovery mindset: you know how to identify where a problem originates, who owns the relevant system and what context is needed before making a change. • Strong communication skills and confidence in approaching engineers and stakeholders from other teams. • A pragmatic approach to legacy systems and organisational complexity. • Basic React knowledge that allows you to make necessary adaptations in a web frontend application. • Practical use of AI tools to accelerate engineering discovery, implementation or validation. • Bonus points: Experience with Segment or a comparable Customer Data Platform. • Experience with event tracking, product analytics or marketing analytics. • Knowledge of event-taxonomy or event-schema design. • Experience integrating backend, web and mobile applications with data or analytics platforms. • Understanding of data quality, tracking consistency and behavioural-data flows. • Experience supporting initiatives that span several engineering teams or product areas.