The Data team is one of the newest additions at Infinum, focused on delivering impactful solutions in data engineering and artificial intelligence. We work on a range of client projects, helping turn data into real business value.Our work spans everything from building robust data pipelines to developing AI-powered systems that extract insights and enable smarter decision-making. Right now, we're building machine learning algorithms that recommend relevant content to users of an IoT app, along with data pipelines that power analytics and ML models behind the scenes.As a growing team, we're looking to significantly expand in the near future. We often collaborate with DevOps, Backend, QA, and System Architect teams and have delivered data-based solutions for industries like smart devices, hospitality, and healthcare. If you’re excited by complex challenges, enjoy collaborating across disciplines, and want your work to make a real impact in industries that matter, come build with us. We’re growing fast, learning faster, and always up for a cup of coffee and a great idea. Requirements at least 2 years of experience as a Data Engineer experience with scalable and production-ready distributed data systems (SQL/NoSQL) and cloud-based data solutions proficiency in Python (preferred) for designing robust data solutions and AI integrations experience with ETL tools and efficient, secure data pipelines strong grasp of data lakehouse concepts, including modeling and performance experience with Databricks or similar platforms for collaborative data and AI development, ideally with at least one year of hands-on experience familiarity with Apache Spark, Snowflake, or Microsoft Fabric hands-on experience with AWS, Azure, or GCP for cloud-native infrastructures broad knowledge of design patterns for scalable, maintainable code experience working independently and collaboratively in agile environments (Scrum, Kanban) excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders fluency in English Bonus Points solid understanding of LLM, prompt engineering, RAG architectures, and other similar AI concepts familiarity with integrating pipelines with AI models and deploying AI features knowledge of vector databases, graph databases, experience with real-time streaming pipelines exposure to Kafka and Kubernetes Your responsibilities designing and implementing high-quality data architecture and software solutions building and maintaining robust, scalable data pipelines identifying, prioritizing and executing development tasks automating tasks through appropriate tools and scripting collaborating with other teams and vendors on enhancing products documenting your work clearly and comprehensively supporting technology adoption and integration into flagship products working closely with the product team to research and develop ways for improving user experience, utilizing data and machine learning concepts recommending and developing solutions that will create new product features or update existing ones, increase scalability, and eliminate technical debt
The Data team is one of the newest additions at Infinum, focused on delivering impactful solutions in data engineering and artificial intelligence. We work on a range of client projects, helping turn data into real business value.
Our work spans everything from building robust data pipelines to developing AI-powered systems that extract insights and enable smarter decision-making. Right now, we're building machine learning algorithms that recommend relevant content to users of an IoT app, along with data pipelines that power analytics and ML models behind the scenes.
As a growing team, we're looking to significantly expand in the near future. We often collaborate with DevOps, Backend, QA, and System Architect teams and have delivered data-based solutions for industries like smart devices, hospitality, and healthcare. If you’re excited by complex challenges, enjoy collaborating across disciplines, and want your work to make a real impact in industries that matter, come build with us. We’re growing fast, learning faster, and always up for a cup of coffee and a great idea.
Requirements
- at least 2 years of experience as a Data Engineer
- experience with scalable and production-ready distributed data systems (SQL/NoSQL) and cloud-based data solutions
- proficiency in Python (preferred) for designing robust data solutions and AI integrations
- experience with ETL tools and efficient, secure data pipelines
- strong grasp of data lakehouse concepts, including modeling and performance
- experience with Databricks or similar platforms for collaborative data and AI development, ideally with at least one year of hands-on experience
- familiarity with Apache Spark, Snowflake, or Microsoft Fabric
- hands-on experience with AWS, Azure, or GCP for cloud-native infrastructures
- broad knowledge of design patterns for scalable, maintainable code
- experience working independently and collaboratively in agile environments (Scrum, Kanban)
- excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
- fluency in English
Bonus Points
- solid understanding of LLM, prompt engineering, RAG architectures, and other similar AI concepts
- familiarity with integrating pipelines with AI models and deploying AI features
- knowledge of vector databases, graph databases, experience with real-time streaming pipelines
- exposure to Kafka and Kubernetes
Your responsibilities
- designing and implementing high-quality data architecture and software solutions
- building and maintaining robust, scalable data pipelines
- identifying, prioritizing and executing development tasks
- automating tasks through appropriate tools and scripting
- collaborating with other teams and vendors on enhancing products
- documenting your work clearly and comprehensively
- supporting technology adoption and integration into flagship products
- working closely with the product team to research and develop ways for improving user experience, utilizing data and machine learning concepts
- recommending and developing solutions that will create new product features or update existing ones, increase scalability, and eliminate technical debt
Infinum is an independent design and development agency. Founded in 2005, the company operates from eight offices across Europe and the US. The collective of over 350 talented individuals such as designers, engineers, software testers, analysts, machine learning specialists, and business professionals work on technological solutions for major global clients.
The company’s expertise lies in developing rock-solid, functional, and beautifully designed software solutions - they accomplish this by designing, building, and scaling authentic digital experiences that deliver value and empower people to accomplish their goals.
Deloitte regularly ranks Infinum among the fastest-growing tech companies in Europe, and independent research has granted them the best employer award four times.
Aside from client projects, Infinum has launched several businesses like Productive - software for agency management, and a joint venture Porsche Digital Croatia, a digital innovation hub for high-tech solutions in the automotive sector.
Infinum is also known for its company culture and community contribution. Infinum Academy and Infinum Foundation are among notable projects through which the company’s resources are distributed to socially responsible causes.
Infinum is an independent design and development agency. Founded in 2005, the company operates from eight offices across Europe and the US. The collective of over 350 talented individuals such as designers, engineers, software testers, analysts, machine learning specialists, and business professionals work on technological solutions for major global clients.
The company’s expertise lies in developing rock-solid, functional, and beautifully designed software solutions - they accomplish this by designing, building, and scaling authentic digital experiences that deliver value and empower people to accomplish their goals.
Deloitte regularly ranks Infinum among the fastest-growing tech companies in Europe, and independent research has granted them the best employer award four times.
Aside from client projects, Infinum has launched several businesses like Productive - software for agency management, and a joint venture Porsche Digital Croatia, a digital innovation hub for high-tech solutions in the automotive sector.
Infinum is also known for its company culture and community contribution. Infinum Academy and Infinum Foundation are among notable projects through which the company’s resources are distributed to socially responsible causes.
