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Data Integration Engineer (m/w/d)

Remote: 
Full Remote
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Offer summary

Qualifications:

Bachelor's or Master's degree in computer science, engineering or related field, Proven experience in cloud-based data integration with Azure native services, Proficiency in Talend Data Integration, Python, Kubernetes, Postgres and SQL.

Key responsabilities:

  • Design, develop and implement data integration solutions
  • Collaborate with interdisciplinary teams to define integration strategies
  • Support Data Scientists in productizing models and optimizing data pipelines
  • Implement best practices for data management, quality, and security

Job description

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Your missions

DEIN UMFELD UND TEAM
We are looking for a talented and experienced Data Integration Engineer. As a Data Integration Engineer, you will play a crucial role in integrating various external data sources and customer systems into our central data platform. You will work closely with our Data Science, DevOps and Product teams to operationalize data models, integrate new data sources, optimize data streams to enable us and our clients to extract actionable insights and execute impactful decisions.
DEIN VERANTWORTUNGSBEREICH
  • Design, develop and implement data integration solutions to seamlessly integrate various external data sources and customers into our core data platform.
  • Collaborate with interdisciplinary teams to understand data requirements, define integration strategies and ensure they meet business objectives.
  • Support Data Scientists in productizing models and optimizing data pipelines for scalability and efficiency.
  • Utilize technologies such as Azure native cloud services, Talend Data Integration, Kubernetes, Python, Postgres and other common databases to design robust and scalable data solutions.
  • Implement best practices for data management, data quality and data security during the integration process
  • Monitoring data pipelines, troubleshooting and implementing proactive measures to ensure optimal performance and reliability.
  • Staying abreast of industry trends and emerging technologies to continuously improve our data integration capabilities.
DAS BRINGST DU MIT
  • Bachelor's or Master's degree in computer science, engineering or a related field or relevant work experience in data integration
  • Proven experience in designing and implementing data integration solutions in a cloud environment, ideally using Azure native services.
  • Proficiency with data integration tools such as Talend Data Integration or similar ETL tools.
  • Strong programming skills in Python for data manipulation, automation and scripting tasks.
  • Experience working with containerization technologies such as Kubernetes to deploy and manage data applications.
  • Solid understanding of relational databases (e.g. Postgres) and SQL queries.
  • Excellent problem solving skills and attention to detail with a proactive attitude.
  • Ability to communicate effectively and collaborate with interdisciplinary teams in a fast-paced environment.
DAS ERWARTET DICH!
You will receive a high-performance MacBook from us, which you can use to do most of your work remotely.

Impact. You have the chance to have a real influence on our customer journey and contribute your own strengths and ideas.
Challenges. The opportunity to face new challenges every day in a dynamic startup and learn something new.
Team spirit. We score points with short decision-making paths and a committed team that shares knowledge and works together on exciting projects.
Culture. In addition to regular team events, team lunches and joint activities.

Look forward to exciting projects and great potential. Sounds like the right challenge? Then apply now and become part of our team!

We look forward to receiving your application!
Über uns
Bei pacemaker.ai arbeiten wir mit Leidenschaft und Ehrgeiz an AI-basierten Lösungen, die es ermöglichen datengestützt die bestmögliche Entscheidung für eine nachhaltige Supply Chain zu treffen.
      

Required profile

Experience

Spoken language(s):
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Soft Skills

  • Verbal Communication Skills
  • Customer Service
  • Reliability
  • Decision Making

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