Data Engineering Manager

Requirements

• You have a successful track record of leading engineering teams, ideally with exposure to growing your scope over time.
• You have a growth mindset and pragmatic approach - you value learning, adapting, and moving fast over having all the answers.
• You can recognize and align business and technical needs - understanding how your teams' work connects to Infobip's products and customer value.
• You are experienced in developing team members' career paths - including supporting growth across different profiles (DBA, developer, DevOps).
• You communicate transparently and at the right level of abstraction, whether that's your engineers, product stakeholders, or VP-level leadership.
• You have a strong understanding of agile methodologies and experience applying them pragmatically.
• You can establish productive cooperation with cross-functional teams - Data works with every product vertical in the company.
• You have experience in hiring - sourcing, interviewing, and building teams.
• You embrace AI as a tools in your day-to-day work and are eager to champion its adoption within your teams.
• You are fluent in English.
• Nice to have qualifications
• Additional knowledge of agile practices, e.g., LeSS framework.
• Experience working in an international environment.
• Experience working with data at scale - high-throughput streaming, large database clusters, or real-time analytics.

Additional Information

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. Why is this role important at Infobip? Being a part of Infobip Engineering means working on in-house developed products and delivering solutions on a global level - processing billions of messages for hundreds of thousands of customers across the globe. As a Data Engineering Manager, you will lead 1-2 data engineering teams (up to 10-15 people) within the Data vertical - one of five engineering verticals at Infobip. Our teams build and operate data platforms that power the entire company: databases, streaming infrastructure, search platforms, analytics engines, and data pipelines. In this role, you will be a hands-on technical leader - not just a people manager - driving a culture of innovation, AI adoption, and continuous learning. What will you do at Infobip? You will lead, coordinate, and organize high-performing data engineering teams. You will actively participate in architecture and system design decisions - reviewing technical proposals, understanding trade-offs, and ensuring solutions are reliable, performant, and cost-efficient. You are expected to understand how your teams operate on a deeper technical level, to explore and navigate the systems they own, and to collaborate with engineers on building things. You will be accountable for your teams' delivery by ensuring a productive work environment, removing impediments, and fostering a pragmatic, results-oriented engineering culture. You will understand how your teams' data platforms serve Infobip's client-facing products and use that understanding to prioritize effectively, coordinating across the Data vertical and with product teams to ensure alignment with company-level priorities. You will track performance and motivation of your team members, identify competency gaps, and support people's growth - across diverse profiles including database administrators, software developers, DevOps, and data engineers. You will drive recruitment, retention, and scaling plans in coordination with People Operations. You will champion AI adoption and innovative approaches within your teams, ensuring our data platforms enable engineering autonomy across the organization. You will work closely with other engineering managers, principal engineers, and a technical product owner within the Data leadership team - sharing context and aligning priorities.

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