17 beste Stellen als engineering team leader (m/f/d) in remote – aktuell auf Personalsuche

Data Engineering Team Leader (m/f/d)
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- Vollzeit
- Homeoffice
- Datenbanken
- SQL
- AWS
- Flexible Arbeitszeiten
Direkt bewerben
Director Sales Engineering (m/f/d) - ALPS & Eastern Europe
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Senior Client Partner - Services Sales (m/f/d)
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- Vollzeit
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- Azure
- DevOps
- Mit Reiseanteil
Direkt bewerben
3 Tage

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engineering team leader (m/f/d) jobs near remote

Data Engineering Team Leader (m/f/d)

AllCloud -
Home Office

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Flexible Arbeitszeiten

Qualifikationen

CI/CD
Cloud-Architektur
Kubernetes
Spark
Git
Datenbanken
Microservices
SQL
AWS
APIs
S3
Kafka
Redshift
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

About AllCloud

AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation.

AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth.

AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io

Job Summary

This is a highly hands-on leadership role focused on building scalable AWS-based Data & AI solutions while leading a small engineering team and collaborating closely with internal and external stakeholders.

The ideal candidate is someone who enjoys solving complex technical challenges, working directly with customers and teams, and building modern cloud-native data and AI platforms end-to-end with a strong execution mindset and can-do approach.

Responsibilities

Lead, mentor, and grow a team of 3–4 Data Engineers.
Act as a hands-on technical leader across multiple Data & AI initiatives.
Design, build, and scale cloud-native data platforms and AI systems on AWS.
Develop and maintain large-scale ETL/ELT pipelines, streaming systems, APIs, and analytics platforms.
Lead implementation of modern AI and GenAI solutions including intelligent agents, RAG systems, automation workflows, and ML integrations.
Work closely with stakeholders, customers, architects, product managers, and business teams to translate requirements into scalable technical solutions.
Participate in technical planning, architecture discussions, code reviews, troubleshooting, and production support.
Ensure reliability, scalability, observability, and security across production environments.
Drive engineering best practices including CI/CD, Infrastructure as Code, testing, monitoring, and operational excellence.
Collaborate across teams while maintaining strong ownership and delivery focus.
Support fast-moving delivery cycles with a pragmatic, solution-oriented, and can-do approach.

Requirements:

4+ years of experience leading engineering or data engineering teams.
7+ years of hands-on experience in Data Engineering, Backend Engineering, or Cloud Architecture.
Strong ability to lead, mentor, and inspire a technical team, combined with sophisticated customer-facing skills to effectively bridge the gap between complex data operations and business-centric solutions for stakeholders.
Strong hands-on development experience with Python and SQL.
Deep experience building solutions on AWS.
Strong experience designing and implementing modern cloud data platforms and lakehouse architectures.
Experience with ETL/ELT, orchestration, and distributed data processing systems.
Strong experience with technologies such as: AWS Glue, Lambda, Step Functions, S3, Redshift, Snowflake, Databricks, DBT, Airflow, Kafka / streaming platforms, Spark
Experience building APIs and scalable backend services.
Strong understanding of CI/CD, Git workflows, monitoring, and DevOps practices.
Ability to balance hands-on execution with team leadership and stakeholder collaboration.
Strong communication and problem-solving skills.
Self-driven, adaptable, and comfortable working in dynamic, fast-paced environments.
Professional fluency in both German and English is required for this role in the DACH region.

Advantages

Experience with AI/ML or GenAI systems in production.
Experience with Amazon Bedrock, SageMaker, vector databases, or RAG architectures.
Experience with Kubernetes, microservices, and serverless architectures.
Experience delivering solutions for startups, enterprise customers, or large-scale production environments.
Experience in fintech, banking, gaming, retail, telecom, or other high-scale industries.
Experience with observability and monitoring platforms.

Why work for us?

Our team inspires progress in each other and in our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development. We offer competitive salaries, bonus incentives, benefits, flexible hours, and mentoring. Apply now to become part of the team.

AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.

Direkt bewerben

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engineering team leader (m/f/d) Jobs in remote

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