Data Engineer





Working at Infobip means being part of something truly global. With 75+ offices across six continents, we’re not just building technology — we’re shaping how more than 80% of the world connects and communicates.

 

As employees, we take pride in contributing to the world’s largest and only full-stack cloud communication platform. But it’s not just what we do, it’s how we do it: with curiosity, passion, and a whole lot of collaboration.

 

We operate with an AI-first mindset, embedding intelligent tools into our daily workflows to work smarter and more efficiently. Every role here benefits from and contributes to this approach.

 

If you're looking for meaningful work and challenges that grow you in a culture where people show up with purpose, this is your opportunity.

Let’s build what’s next, together.





What this role is all about

As a Data Engineer in our team, you will play a key role in transforming raw data into actionable insights that drive strategic decisions. You’ll work with a wide range of tools and technologies across DWH, BI, and ML platforms, collaborating with global teams to support data-driven decision-making. Our Data Engineers are focused on improving the process of identifying valuable critical data, collecting, structuring, and utilizing data to create comprehensive analytics to support different aspects of our business streams. The team is developing insights used in various scenarios with a curious and business-driven mindset. We work on understanding customer satisfaction, defining and tracking key business metrics, and informing the future roadmap for data-driven decision-making that will push our company to the edge of innovation. You will be part of a collaborative and agile team, focused on quality, effective delivery, and continuous improvement. The team is experienced, offering strong opportunities for learning and mentorship.

 

What you’ll do

• Design, build, test, and maintain robust data pipelines that integrate data from databases, APIs, and SaaS platforms into the central data warehouse  

• Collaborate closely with BI Developers and business stakeholders to deliver end-to-end analytics solutions, from data ingestion to usable reporting datasets  

• Analyze stakeholder requirements, identify data quality or process gaps, and propose practical improvements  

• Develop, optimize, and monitor ETL processes to ensure reliable, performant, and scalable data flows  

• Work hands-on with Python and SQL to clean, structure, and validate noisy or complex datasets  

• Participate in sprint planning with stakeholders, owning multiple data initiatives in parallel and driving them to completion  

• Document data flows, transformations, and technical decisions, ensuring alignment with data governance and quality standards

• Explore and implement AI-driven features, identifying opportunities to apply AI in internal systems and processes

• Leverage AI tools to improve development efficiency, automate repetitive tasks, and accelerate delivery

What makes you a strong fit

• 3-5+ years of experience in data engineering, data warehousing, or BI environments  

• Strong hands-on experience with SQL and Python in data processing or analytics use cases  

• Experience designing or working with data warehouses and dimensional models, understanding how data is sourced, transformed, and consumed  

• Practical experience integrating data from multiple systems, including APIs and third-party SaaS tools  

• Familiarity with ETL tools and data integration frameworks (e.g., SSIS, Informatica, SAS DI Studio, or similar)  

• Experience with cloud-based data platforms and architectures, with Microsoft Azure being an advantage  

• Strong analytical, debugging, and problem-solving skills, especially when working with imperfect or unstructured data  

• Ability to work directly with stakeholders, ask the right questions, and translate business needs into technical solutions  

• Ownership mindset, able to manage multiple initiatives independently while collaborating closely with the team  

• Fluent in English, both written and spoken

Nice-to-have qualifications

• Experience with big data or distributed processing technologies (e.g., Spark, Hive, Kafka)  

• Familiarity with data governance, data quality frameworks, or agile development practices  

• Exposure to BI tools, dashboards, or reporting use cases  

• Experience with AI or machine-learning-enabled analytics and curiosity to explore their practical application in data platforms



Why you'll love it here • Financial rewards & recognition - A fair compensation aligned with your experience, industry, and market standards, performance-driven bonuses, regular reviews to support your growth and recognize your contributions, and a culture that values your impact. • Flexible work arrangements - We combine in-person collaboration with remote work and flexible working hours, because great ideas happen everywhere - and not always between 9 and 5. • ESOP (Employee Stock Ownership Plan) - As an Infobip employee, you’ll have the opportunity to share in our company’s success through stock options. • Work-life balance and Well-being  - We offer time off when you need it, special leave days for life’s big moments, and a flexible hybrid work model tailored to local regulations. • Career mobility - Your career is a journey. With internal mobility, upskilling, and mentorship, we help you shape your path.  • Professional development - Learning never stops. Onboarding, mentorship, and training programs help you grow - no matter where you start. • International mobility - Ready to take your career global? Explore short and long-term opportunities in our Hubs worldwide.  While some benefits may vary by location, our goal remains the same: to support your growth, well-being, and success - wherever you are. 



Diversity drives connection

Infobip is built on diverse backgrounds, perspectives, and talents. We’re proud to be an equal-opportunity employer and are committed to fostering an inclusive workplace.

No matter your race, gender, age, background, or identity — if you have the passion and skills to thrive, there’s a place for you here.

All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, age, sex, sexual orientation, gender, gender identity, national origin, citizenship, disability, veteran status or any other part of one's identity.

Read more about our hiring process.

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