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, you will contribute to building reliable and scalable data foundations that support business reporting, analytics, and decision-making across the company. You will work across modern data platforms, integrations, and transformation processes, partnering with teams globally to ensure data is accessible, accurate, and actionable. Our team focuses on turning complex and fragmented datasets into meaningful insights that support operational and strategic initiatives across different business areas. We work closely with stakeholders to understand business challenges, improve data quality and visibility, and enable smarter decisions through data. You will join a collaborative environment that values curiosity, ownership, continuous learning, and practical problem-solving.

What you’ll do

• Build and maintain scalable data pipelines that collect and process data from internal systems, APIs, and external platforms into the central data ecosystem

• Partner with BI Developers, analysts, and business stakeholders to deliver reliable datasets and support reporting and analytics initiatives

• Translate business and technical requirements into sustainable data models and transformation logic

• Monitor, troubleshoot, and optimize ETL workflows to ensure stable and efficient data processing

• Use SQL and Python to prepare, validate, and transform structured and unstructured datasets

• Contribute to multiple data projects simultaneously, collaborating closely with cross-functional teams in an agile environment

• Maintain clear technical documentation related to data flows, transformations, and governance standards

• Identify opportunities to improve internal processes and products through AI-driven capabilities and automation

• Utilize AI-assisted development tools to improve productivity and streamline repetitive engineering tasks

What makes you a strong fit

• 3-8 years of experience working in data engineering, analytics engineering, or data warehousing environments

• Strong practical knowledge of SQL and Python for data transformation, processing, and analysis

• Experience working with data warehouse concepts, dimensional modeling, and data lifecycle management

• Hands-on experience integrating and consolidating data from multiple systems and third-party platforms

• Familiarity with ETL technologies and data integration solutions

• Understanding of cloud-based data architectures, with exposure to Microsoft Azure considered an advantage

• Strong analytical and troubleshooting skills, especially when working with large or inconsistent datasets

• Comfortable communicating with technical and non-technical stakeholders to clarify requirements and deliver practical solutions

• Ability to balance independent ownership with collaborative teamwork across multiple parallel initiatives

• Fluent in English, both written and spoken

Nice-to-have qualifications

• Experience working with distributed data processing technologies such as Spark, Hive, or Kafka

• Familiarity with data governance practices, data quality management, or agile delivery methodologies

• Exposure to business intelligence tools, reporting workflows, or dashboard development

• Interest or experience in AI-enabled analytics, machine learning workflows, or intelligent data platform capabilities

• 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.