Engineering Manager (m/f/x)

We are seeking an Engineering Manager to join our Data and Cloud Platform team. This team plays a central enabling role at KONUX: it provides the data and cloud foundations used by our product engineering teams, while also supporting Revenue, Operations, and other business functions in accessing, analysing, and acting on data. You will lead and grow a high-performing cross-functional team owning a broad platform scope, including: Data processing frameworks and scalable data platform capabilities; Cloud infrastructure, cost management, and observability; Platform security concepts, tenant configuration, and device management; Process automation, CI/CD pipelines, and developer enablement. In this role, you will set clear priorities, align technical strategy with company goals, and help the team make sound trade-offs across reliability, scalability, security, data quality, cost, and delivery speed. You will combine strong people leadership with hands-on technical judgement: you should be able to assess technical designs, understand implementation risks, guide engineers towards pragmatic solutions, and contribute directly to the codebase or technical delivery where needed. You will also act as an important communication bridge between Engineering, Product, Revenue, Operations, and leadership, ensuring complex technical topics are clearly understood by both technical and non-technical stakeholders.

Responsibilities

Lead and grow a high-performing cross-functional team; Own a broad platform scope including data processing frameworks, cloud infrastructure, cost management, observability, platform security, tenant configuration, device management, process automation, CI/CD pipelines, and developer enablement; Set clear priorities and align technical strategy with company goals; Combine people leadership with hands-on technical judgement; Act as communication bridge between Engineering, Product, Revenue, Operations, and leadership; Conduct regular 1:1 meetings, manage performance reviews and pay adjustments; Support hiring, onboarding, feedback, conflict resolution, and performance management; Own architecture and technical strategy for the Data and Cloud Platform; Translate company and technical goals into actionable plans; Treat the platform as a product and understand internal users; Contribute directly to technical delivery where needed; Communicate technical decisions, trade-offs, risks, priorities, and delivery constraints; Own annual team budget and control costs

Requirements

Software, DevOps, Data Engineering, or other STEM background; Minimum 8+ years of experience and 2+ years in an engineering leadership role; Strong people leadership skills, including coaching, conflict resolution, hiring, performance management, and building a healthy team culture; Ability to assess technical designs hands-on, identify risks and trade-offs, and guide engineers towards pragmatic, maintainable solutions; Excellent communication skills, with the ability to align engineers, business stakeholders, and leadership around complex technical topics; Solid hands-on experience in Python, PySpark (ETLs), Cloud infrastructure (preferably AWS and Databricks), building a scalable data platform accelerating product teams and other functions

Nice to have

IoT devices; process automation

Benefits

Equity; Dedicated Learning & Development budget of 3.600€ p.a.; Comprehensive relocation support; Hybrid working model; Modern workspace with rooftop and mountain view; Flexible working conditions, home office equipment and free choice between Windows or Apple laptop; Health benefits supporting physical and mental well-being; Fruits, snacks and beverages; Company pension scheme; Access to Corporate Benefits and Future Bens; 27 vacation days (+1 day on every work anniversary for 3 years); Volunteering activities (2 additional days off); Company and team events; Pet-friendly company