20 beste Stellen als data engineer in dietzenbach – aktuell auf Personalsuche

Staff Software Engineer, Infrastructure (Cloud)
AeroVect —Frankfurt am Main
- Vollzeit
- Homeoffice
- Informatik
- Master
- Bachelor
10 Tage
Senior Software Engineer - Data & AI (all genders)
CMBlu Energy AG —Alzenau in Unterfranken
- Azure
- Englisch
- SQL
- Weiterbildungsprogramme
Direkt bewerben
Software Developer Full Stack (m/f/d)
PRIOjet GmbH —Frankfurt am Main
- Master
- Bachelor
- Flexible Arbeitszeiten
Direkt bewerben
Senior Requirements Engineer (d/m/w) - Tax Calculation & Reporting – Static Data
Deutsche Bank —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Englisch
3 Tage
Principal CAP & BTP Cloud Native Engineer (m/f/d)
SAP Fioneer —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Bachelor
Direkt bewerben
Senior Backend / Platform Engineer (f/x/m)
spotixx GmbH —Frankfurt am Main
- Hybrides Arbeiten
Direkt bewerben
SENIOR SYSTEM ENGINEER OPEN SOURCE (M/W/D)
München, deutschlandweit —Frankfurt am Main
- Hybrides Arbeiten
- Informatik
- Systemdesign
- Agile
- Weiterbildungsprogramme
Senior Consultant AI Specialist (Financial Services) (w/m/d)
EY —Frankfurt am Main
- Arbeitgeber anrufen
- Azure
- Informatik
- Master
- Weiterbildungsprogramme
Embedded Systems Engineer (m/f/d)
Digital Film Technology GmbH —Darmstadt
- Elektrotechnik
- Kommunikationsfähigkeit
- Kostenloser Parkplatz
- Flexible Arbeitszeiten
Sr. Software Engineer
Align Technology —Darmstadt
- Vollzeit
- Informatik
- Master
Direkt bewerben
Senior AI / ML Engineer (w/m/d)
Cofinpro —Frankfurt am Main
- Vollzeit
- Azure
- AWS
- Analytik
- Weiterbildungsprogramme
Direkt bewerben
Senior Forward Deployed Engineer (m/f/d)
EPAM Systems, Inc. —Frankfurt am Main
- Hybrides Arbeiten
- Master
12 Tage
Ground Segment Systems Engineer – EPS-Sterna
Telespazio Germany GmbH —Darmstadt
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Kommunikationsfähigkeit
Direkt bewerben
Cloud Engineer (m/w/d)
statworx —Frankfurt am Main
- Vollzeit
- Englisch
- AWS
- Softwareentwicklung
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme
Direkt bewerben
Senior EmbeddedSoftware Engineer
TechBiz Global GmbH —Frankfurt am Main
- Vollzeit
- Master
- Bachelor
- Elektrotechnik
Direkt bewerben
Data Engineering Leader
Cognite - AI for Industry —Frankfurt am Main
- Master
- Führungserfahrung
Direkt bewerben
Data Engineering Lead, Agentic Infrastructure
vivenu GmbH —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
Direkt bewerben
8 Tage
AI Application Engineer (m/w/d)
Operations1 —Frankfurt am Main
- Hybrides Arbeiten
- Azure
- Machine Learning
- Flexible Arbeitszeiten
Direkt bewerben
AI Engineer (w|m|d)
BridgingIT GmbH —Frankfurt am Main
- 50.000 € – 80.000 € pro Jahr
- Vollzeit
- Azure
- SQL
- AWS
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
DLT Solution Architect (f/m/d)
Deutsche Börse —Frankfurt am Main
- Hybrides Arbeiten
- Informatik
- Kostenloser Parkplatz
- Flexible Arbeitszeiten
11 Tage

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Staff Software Engineer, Infrastructure (Cloud)

AeroVect
Frankfurt am Main

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 10 Tagen

Qualifikationen

Informatik
Master
Bachelor
Verteilte Systeme
GitHub
Elektrotechnik
gRPC

Vollständige Stellenbeschreibung

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

As a Staff Software Engineer, Infrastructure (Cloud), you will own the data infrastructure and cloud systems that power AeroVect's autonomous driving platform. You'll design and scale the pipelines that move operational data from real-world deployments into the systems that drive development, testing, and continuous improvement — ensuring reliability and performance

This is a highly impactful role at the intersection of cloud infrastructure and data engineering. You'll have real ownership — designing systems from the ground up, not inheriting a finished stack. The opportunity to grow into a technical leadership role is real as the team scales.

You Will

Design, build, and maintain scalable data pipelines that move operational data from on-prem systems into cloud infrastructure
Architect and manage cloud-based infrastructure (AWS) for scalable computation, data processing, and system telemetry
Integrate on-prem and cloud data flows into a cohesive, reliable data architecture
Build and maintain CI/CD pipelines to enable rapid, reliable software delivery and validation across simulation and real-world testing environments
Implement and manage infrastructure-as-code (Terraform, CloudFormation) for consistent, automated provisioning
Develop internal services and automation tools to streamline data ingestion, processing, and observability
Establish and enforce best practices for data reliability, pipeline observability, and system security
Drive root-cause analysis for data infrastructure and pipeline issues; design long-term solutions to improve system resilience
Collaborate with autonomy and systems engineers to define scalable data interfaces and cloud deployment strategies

You Have

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
7+ years of experience building cloud infrastructure and data systems for large-scale distributed systems
Strong proficiency in Python with a focus on data pipeline development and automation
Hands-on experience with Kafka, Kubernetes, and gRPC for building scalable, high-throughput data systems
Deep expertise with AWS cloud services including compute, storage, and data processing
Experience with CI/CD platforms (Jenkins, GitHub Actions, CircleCI)
Proficiency with containerization and orchestration (Docker, Kubernetes)
Experience automating deployments with Terraform or CloudFormation
Familiarity with Git-based workflows, code review processes, and collaborative software development

We Prefer

Experience integrating on-prem and cloud data flows in a hybrid infrastructure environment
Background in data engineering for robotics, autonomous systems, or real-time operational data
Knowledge of monitoring, logging, and alerting tools such as Prometheus, Grafana, or the ELK Stack
Familiarity with networking, security, and distributed system performance optimization
Experience supporting safety-critical, real-time, or high-availability systems

Jetzt bewerben

Erweiterte Suche

data engineer Jobs in dietzenbach

Staff Software Engineer, Infrastructure (Cloud)

Senior Software Engineer - Data & AI (all genders)

Software Developer Full Stack (m/f/d)

Senior Requirements Engineer (d/m/w) - Tax Calculation & Reporting – Static Data

Principal CAP & BTP Cloud Native Engineer (m/f/d)

Senior Backend / Platform Engineer (f/x/m)

SENIOR SYSTEM ENGINEER OPEN SOURCE (M/W/D)

Senior Consultant AI Specialist (Financial Services) (w/m/d)

Embedded Systems Engineer (m/f/d)

Sr. Software Engineer

Senior AI / ML Engineer (w/m/d)

Senior Forward Deployed Engineer (m/f/d)

Ground Segment Systems Engineer – EPS-Sterna

Cloud Engineer (m/w/d)

Senior EmbeddedSoftware Engineer

Data Engineering Leader

Data Engineering Lead, Agentic Infrastructure

AI Application Engineer (m/w/d)

AI Engineer (w|m|d)

DLT Solution Architect (f/m/d)

Ich möchte aktuelle Job-E-Mails für Stellen als data engineer in dietzenbach erhalten

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