Software Engineer (with interest in AI) for Business Intelligence team (Engagement)

Join our Business Intelligence team as a Software Engineer and help us revolutionize marketing with ML-powered solutions! You'll work on cutting-edge technologies, impacting millions of users, and contributing to a product that truly makes a difference. The salary range starts at 4,000€ per month, along with restricted stock units and other benefits. Working in one of our Central European offices or from home on a full-time basis, you'll become a core part of the Engineering Team.

What challenge awaits you?

Prepare to dive into the exciting world of data-driven insights. You'll face the challenge of building and maintaining powerful features that empower our clients to make informed business decisions. This involves turning complex data into actionable insights, creating intuitive user experiences, and integrating cutting-edge AI technologies like GenAI and LLMs.

You'll collaborate closely with channel-specific engineering teams, data scientists, and product managers to ensure seamless integration of our business intelligence features with the rest of our platform, fostering a culture of collaboration and innovation. This role offers a unique opportunity to combine your technical expertise with a passion for data storytelling and a desire to empower businesses with data-driven insights.

Your job will be to:

1. Design & Deliver new features


2. Ensure quality and performance of developed solution


3. Support and Maintain owned components

a. Design & Deliver new features

• Translate business requirements into technical specifications: Work with product managers and data scientists to understand client needs and translate them into actionable features, focusing on the backend logic and data processing aspects.


• Design and implement APIs for data access and manipulation: Develop secure and efficient APIs for front-end applications to access and interact with the data insights generated by the platform.


• Integrate AI capabilities: Explore and implement GenAI or LLM models as backend services, providing the data processing and insights generation capabilities for front-end use.


• Collaborate with product designers and front-end engineers: Provide technical expertise and guidance on API design, data structure, and backend capabilities to support front-end development and user-friendly interactions.

b. Ensure quality and performance of developed solution

• Write comprehensive unit tests and integration tests: Ensure that new features function as expected and integrate smoothly with existing backend systems.


• Implement robust logging and monitoring: Track key performance indicators and identify potential issues proactively to ensure the feature's reliability and performance.


• Collaborate with QA engineers and perform code reviews: Work with QA engineers to ensure that the backend functionality meets quality standards and aligns with the requirements.

c. Support and Maintain owned components

• Respond to client inquiries and troubleshoot issues: Provide prompt and efficient support to clients experiencing issues with features you've developed, focusing on backend functionality and data processing aspects.


• Implement bug fixes and performance improvements: Continuously maintain and enhance existing backend features based on user feedback, performance data, and evolving business requirements.


• Document code and processes: Create clear documentation for your code and processes to facilitate future maintenance and collaboration with other team members.

What technologies and tools does the BI team work with?

• Programming languages - Python 


• Google Cloud Platform services - GKE, BigQuery


• Data Storage and Processing - MongoDB


• Software and Tools - Grafana, Sentry, Gitlab, Jira, Productboard, PagerDuty 

Our team builds features for a powerful data insights platform that empowers our clients. We leverage advanced analytical techniques, including predictive modeling, trend analysis, and anomaly detection, to create impactful features. We are also exploring the integration of AI technologies like natural language processing and machine learning for anomaly detection to further enhance our platform. Experience with data mining, statistical modeling, data visualization, and AI technologies would be highly valuable for building and maintaining these features.

Your success story will be:

• In 30 Days: Successfully onboard and contribute to ongoing tasks, demonstrating understanding of the codebase and team processes.


• In 90 Days: Contribute to design discussions and independently deliver high-quality code for assigned features. Participate in investigating and resolving production issues.


• In 180 Days: Independently manage larger tasks, contribute to team improvements, and confidently handle L3 support, investigating and resolving production issues.

You have the following experience and qualities:

1. Professional — Proven experience in python engineering, system design, and maintenance in the area analytical features.


2. Personal — Demonstrates strong initiative, ability to work within a team, communication skills, and a commitment to continuous learning and improvement.

Professional experience

• Proven experience in Python engineering: Strong Python skills are essential for building our data-driven features. Experience with data processing, data structures, and algorithms is key.


• Solid understanding of software architecture principles: Building scalable and reliable features for our platform requires a solid understanding of software architecture principles, especially in the context of APIs and microservices for data access and manipulation.


• Experience with version control systems (e.g., Git) and CI/CD pipelines: We utilize Git for code management and CI/CD pipelines for efficient development and deployment. Experience with these tools will streamline your workflow.


• Familiarity with common data analysis and ML frameworks: While we are not strictly an ML team, we are exploring the integration of AI and machine learning. 

Personal qualities

• Demonstrates strong initiative and a proactive approach to problem-solving.


• Excellent communication and collaboration skills, with the ability to work effectively within a team.


• A genuine passion for learning new technologies and keeping up-to-date with the latest advancements.


• A commitment to delivering high-quality work and a dedication to continuous improvement.

Excited? Join us and transform the future of commerce experiences.