Staff Data Engineer, emnify
Cloud-based services for IoT communications
Be an early applicant
Cloud-based services for IoT communications
101-200 employees
Be an early applicant
101-200 employees
Company mission
To redefine IoT connectivity and deliver meaningful, impactful experiences for businesses worldwide.
Role
Who you are
- Strong data engineering & lakehouse expertise
- Proven experience designing and operating scalable data architectures, including modern lakehouse architectures (e.g., object storage + table formats + compute engines)
- You have hands-on experience building reliable batch and streaming pipelines on top of a lakehouse foundation
- Real-time data processing
- Hands-on experience with streaming technologies such as Kafka, Flink, or Spark Streaming, and high-performance analytical databases such as Apache Druid, ClickHouse, or StarRocks
- Cloud and infrastructure engineering
- Strong experience building and operating data platforms in cloud environments (AWS mandatory)
- Deep hands-on knowledge of infrastructure-as-code (e.g., Terraform), container orchestration (e.g., Kubernetes, EKS), and CI/CD practices
- You are comfortable with self-hosting and operating data systems across multiple environments, particularly in contexts with high data growth and strict reliability requirements
- Data modeling & multi-tenant systems
- Experience designing scalable data models and analytics architectures in multi-tenant SaaS environments
- Software engineering mindset
- Strong programming skills (SQL, Python, Scala, or Java) with emphasis on clean, maintainable, production-grade code
- AI/ML platform exposure
- Experience supporting ML/AI workflows in production environments, including model deployment pipelines, inference services, monitoring, and integration into real-time systems
What the job involves
- At emnify, we are scaling our IoT connectivity platform and strengthening our data capabilities to power internal decision-making and customer-facing insights. We are looking for a Staff Data Engineer to design, build, and evolve our data platform to support growing data volumes, real-time use cases, advanced analytics, and AI-driven capabilities
- In this senior, high-impact role, you will work closely with product, engineering, analytics, and data teams to ensure our data infrastructure is scalable, reliable, and future-proof. You will shape architectural decisions, define engineering standards, and remain hands-on in building robust data systems
- Design and scale the data platform
- Lead the architecture and implementation of batch and real-time data pipelines that support analytics, operational use cases, and customer-facing data products
- Enable real-time and customer-facing use cases
- Build low-latency data workflows and scalable data access layers to power embedded analytics, customer-facing dashboards, and analytics APIs consumed by internal systems and external customers
- Ensure reliability and data quality
- Drive best practices in data modeling, testing, monitoring, governance, and observability to improve trust and usability across the organization
- Support AI and advanced analytics workflows
- Build and maintain the infrastructure enabling scalable AI use cases, including feature pipelines, model deployment (batch and real-time), and monitoring of model performance and data quality
- Raise the engineering bar
- Act as a technical leader within the data team: define standards, mentor peers, review architecture, and continuously improve our tooling and processes
Our take
emnify is the leading cloud communication platform provider for IoT - it provides a cloud-based infrastructure to allow companies and businesses to seamlessly scale up operations globally, creating a pain-free integration process.
The company provides reliable and robust cellular IoT connectivity for a wide range of devices, including those in the agriculture, energy meter, health, and mobility sectors. emnify aims to be customer-focused and works with experts who allow the company to operate within over 70 countries.
Building on this global footprint, emnify is firmly looking to the future. Through its involvement in EU-backed research initiatives like ORIGAMI and NaSA-OMI, the company is helping shape the architectural and security foundations of the next-generation networks, including 6G and satellite-enabled connectivity. By combining real-world IoT use cases with academic and industry collaboration, emnify isn't just a connectivity provider, but an active contributor to how intelligence, secure IoT networks will evolve in the years to come.
Freddie
Company Specialist at Welcome to the Jungle
Insights
22% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2022
$57.8m
SERIES B
Oct 2019
$9.3m
SERIES A
Total funding: $81m
Company HQ
Kreuzberg, Berlin, BE
Leadership
Frank Stoecker
(Co-Founder & CEO)Held roles as VP of Messaging at Brodos and Syniverse. Was also a Managing Director at End2End Connectivity and a General Manager of Messaging at MACH.
Martin Giess
(Co-Founder)Previously an Application Manager at Brodos and the VP of Technology at MACH and Syniverse.
Alexander Schebler
(Co-Founder & VP of Network Access)Previously an Account Manager at Brodos, the Director of Sales at End2End Connectivity, and a VP of Sales and Carrier Relations at MACH and Syniverse.
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