Senior Data Engineer & Architect (m/f/x)

macio GmbH; Karlsruhe; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen sucht einen erfahrenen Senior Data Engineer & Architect, der die Verantwortung für die Gestaltung und Implementierung robuster Datenarchitekturen übernimmt. In dieser Schlüsselrolle werden Sie nicht nur technische Lösungen entwickeln, sondern auch als Mentor für Ingenieure fungieren und eine Kultur der Zusammenarbeit fördern. Ihre Aufgaben umfassen die Entwicklung von ETL-Prozessen, die Evaluierung neuer Technologien und die Durchführung technischer Präsentationen. Wenn Sie bereit sind, einen bleibenden Eindruck zu hinterlassen und Innovationen voranzutreiben, ist dies Ihre Chance, Teil eines dynamischen Teams zu werden.

Qualifikationen

• Mindestens 5 Jahre Erfahrung als Data Engineer erforderlich.
• Starke praktische Erfahrung mit ETL/ELT-Tools und Datenmodellierung.

Aufgaben

• Entwicklung skalierbarer Datenarchitekturen und ETL-Prozesse.
• Führung und Mentoring von Engineering-Teams in Best Practices.

Kenntnisse

ETL/ELT Tooling

Data Modelling

Data Governance

Python

SQL

Java

Scala

Rust

Azure Synapse

Microsoft Fabric

Databricks

Infrastructure as Code

Containerization (Docker, Kubernetes)

CI/CD pipelines

DevOps practices

Agile methodologies

Technical presentations

Communication skills

Ausbildung

Data related certification (e.g., Azure Data Engineer Associate)

Tools

Azure Synapse

Microsoft Fabric

Databricks

Docker

Kubernetes

Jobbeschreibung

We are seeking a skilled Senior Data Engineer & Architect with a strong technical foundation, outstanding communication skills, and proven leadership abilities. In this pivotal role, you’ll design and implement resilient data architectures, uphold the highest standards of data quality and governance, and define best practices for data engineering. Beyond technical contributions, you’ll mentor and guide our engineers, fostering a collaborative culture that prioritizes growth and excellence. If you’re ready to make a lasting impact and drive innovation, we’d love to hear from you!

Your daily tasks will include:

1. Designing and developing scalable and efficient enterprise-level data architectures, including ETL processes, streaming processing frameworks, and modernizing legacy data infrastructures.
2. Crafting technical roadmaps, data strategies, and documentation for data architectures, pipelines, and governance practices, ensuring adherence to best practices, security, and compliance standards.
3. Leading and mentoring engineering teams, providing technical guidance on data engineering best practices while fostering innovation and sharing expertise with junior engineers.
4. Supporting pre-sales activities by delivering technical presentations, explaining complex data solutions, and helping clients navigate technical jargon to establish a shared understanding of data concepts.
5. Evaluating new data processing technologies, developing proof-of-concepts, and implementing strategies to ensure the continuous improvement and scalability of data solutions.

The following will make you succeed in this role:

1. Minimum 5 years of experience as a Data Engineer.
2. Profound expertise with: ETL/ELT Tooling, Data Modelling, Data Catalogs, Data Governance.
3. Strong hands-on experience with either Python, SQL, Java, Scala and/or Rust as well as Azure Synapse, Microsoft Fabric, Databricks, dbt, Infrastructure as Code, Containerization (Docker, Kubernetes), and CI/CD pipelines and DevOps practices.
4. Ability to work agile with incomplete and emerging information.
5. Data related certification preferred such as: Azure Data Engineer Associate, Microsoft Fabric Analytics Engineer Associate/Professional, Databricks Data Engineer Associate.
6. Experience in doing technical presentations (internal and external).
7. Proven track record of successful projects.
8. Willingness to travel from time to time for project-related purposes (DACH region).
9. Strong communication skills (fluency in English AND German) and intrinsic motivation to stay on top in the data area and actively share your knowledge.

We are an equal opportunity employer. We strive to create an inclusive environment where everyone can thrive regardless of their background and circumstances. All applicants receive equal opportunity regardless of age, gender identity or expression, language, disability, ethnicity, national origin, religion, or sexual orientation.

We will go through your application and come back with feedback.

Any questions? Contact us at [e-mail]