Job Closed
This listing is no longer active.
Personalberatung Berlin. Personalvermittlung von IT-Profis. 📞 03052105983
Senior Data Engineer, IoT
Location
Germany
Posted
64 days ago
Salary
€70K - €85K / year
Seniority
Senior
Job Description
Senior Data Engineer, IoT
The Formula Consulting
• You join a team of 35 tech-savvy Internet of Things and sensor technology engineers. • Partnering with your hiring manager, you convert complex sensor data into robust, scalable, and secure backend architectures. • Architect scalable data platforms and deliver end-to-end analytical solutions. • Optimize ETL processes and improve data quality through effective data cleansing and enrichment techniques. • Continuously improve and automate software performance by identifying potential issues and proposing solutions. • Use Grafana to implement alerting mechanisms to detect data anomalies, track data quality KPIs, and enable data-driven troubleshooting. • Work primarily with Python, Airflow, Docker, Bash, the Linux command line, C/C++, and Grafana. • Occasionally support field operations across Germany by collecting sensor data on site and validating technology through controlled field trials.
Job Requirements
- Due to security regulations for this role, you must hold citizenship of an EU Member State.
- Minimum 5 years of full-time work experience as a software or systems engineer.
- Minimum 2 years of full-time work experience in data engineering.
- Fluent in Python.
- Experience working with Airflow and Docker.
- Proficient with bash scripting and the Linux command line.
- Experience in designing, implementing, migrating, deploying, and operating production systems, including observability and monitoring.
- Experience visualizing metrics, logs, and traces from various data sources using tools such as Grafana, Prometheus, OpenTelemetry, or similar.
- Fluent in English; additional languages are a plus.
- Passion for IoT and defense.
- Willing to support field operations across Germany 5–25 days per year.
- Ideally some experience with C/C++.
- Hold a German work permit and tax ID.
- Reside in Germany and be willing to support field operations around Munich.
- Willingness to travel up to 10%.
Benefits
- Opportunity to work with cutting-edge technology.
- Be part of a group of tech-savvy engineers.
- Join a fast-growing multinational defense company developing one of the first multinational drone early-warning systems.
- Multinational, pragmatic, and hands-on team with a strong focus on innovation.
- 100% flexible workplace policy: come to the office in Munich or work from home within Germany.
- Flexible working hours: some meetings are scheduled, but otherwise work when is best for you.
- 30 days of vacation.
- Health insurance package.
- Sports club membership.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Data Engineer – IoT
The Formula ConsultingPersonalberatung Berlin. Personalvermittlung von IT-Profis. 📞 03052105983
• Join a team of 35 tech‑savvy Internet of Things and sensor-technology engineers. • In partnership with your hiring manager, convert complex sensor data into robust, scalable, and secure backend architectures. • Design scalable data platforms and deliver end-to-end analytical solutions. • Optimize ETL processes and improve data quality through effective cleansing and enrichment techniques. • Continuously improve and automate software performance by identifying potential issues and proposing solutions. • Use Grafana to implement alerting mechanisms to detect data anomalies, monitor data-quality KPIs, and enable data-driven troubleshooting. • Primarily work with Python, Airflow, Docker, Bash, Linux command line, C/C++, and Grafana. • Occasionally support field operations by collecting sensor data on site and validating the technology through controlled field trials.
Data Engineer
PerformDev done better. Perform offers expert engineering consulting and staffing for the most demanding products.
• Collaborate with engineers to design and execute data migrations between systems • Perform data mapping, transformation, validation, and reconciliation • Ensure data accuracy and completeness across environments • Build and maintain production data pipelines and APIs • Develop scripts and services for data movement and validation • Model data and analyze source and target schemas • Write complex SQL queries and work with relational and NoSQL databases • Identify and resolve data quality issues during migration • Support the full lifecycle of delivery: design, development, deployment, testing, monitoring, and ongoing support • Contribute to discussions around data quality, test strategy, and automation • Integrate and manage data flows across multiple systems and applications • Design and implement data models that reflect business logic and support application use cases • Design and execute complex data migrations between systems, ensuring data integrity and consistency
Lead Data Engineer
PerformDev done better. Perform offers expert engineering consulting and staffing for the most demanding products.
• Lead data engineering execution for complex application initiatives • Design and deliver data migrations between systems • Build and maintain production-grade data pipelines, APIs, and data management tools • Write complex SQL and work with relational and NoSQL databases • Collaborate closely with engineers and stakeholders in an agile environment
Data Engineer – Databricks
SpyrosoftWe enable our clients to thrive, thanks to a combination of technical proficiency and domain-specific knowledge.
• Transform unstructured and semi-structured R&D data into standardized, governed, and analytics-ready data assets. • Design, build, and operate scalable ETL/ELT pipelines, data lakes, and data warehouses with strong data quality, monitoring, and lineage. • Modernize legacy data flows through APIs and integration patterns within the Microsoft Azure ecosystem (e.g., Databricks, Blob Storage). • Optimize cloud infrastructure for performance, security, and cost efficiency while supporting enterprise data governance and compliance. • Partner...
