Senior Data Engineer

Masentó Group; Dortmund; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An innovative consulting firm is seeking a Senior Data Engineer to join their dynamic team during an exciting growth phase. In this pivotal role, you will craft technical roadmaps and design scalable data architectures, utilizing your expertise in the Azure tech stack. Your responsibilities will encompass leading engineering teams, supporting pre-sales activities, and ensuring adherence to best practices in data governance. This is a fantastic opportunity to make a significant impact in a collaborative environment where your skills will drive success across various industries. If you are passionate about data engineering and looking to take your career to the next level, this position is perfect for you.

Qualifikationen

• 5+ years of experience in Data Engineering with a strong consulting background.
• Expertise in ETL processes, data governance, and scalable data architectures.

Aufgaben

• Craft technical roadmaps and data strategies adhering to best practices.
• Design and develop scalable enterprise-level data architectures.

Kenntnisse

Data Engineering

ETL/ELT Tooling

Data Modeling

Python

SQL

Azure Synapse

Microsoft Fabric

Databricks

Infrastructure as Code

DevOps Practices

Tools

Docker

Kubernetes

CI/CD Pipelines

Jobbeschreibung

Masentó is collaborating with a boutique technology consulting firm that is currently experiencing an exciting growth phase. We are supporting them in their search for a Senior Data Engineer with a strong consulting background and a solid foundation in technology, particularly with the Azure tech stack.

Your daily responsibilities will include:

1. Crafting technical roadmaps, data strategies, and documentation, ensuring adherence to best practices, security, and compliance standards to support clients across various industries.
2. Designing and developing scalable enterprise-level data architectures, including ETL processes, streaming frameworks, and modernizing legacy systems.
3. Supporting pre-sales activities by delivering technical presentations and simplifying complex data concepts for clients.
4. Leading and mentoring engineering teams, providing technical guidance on data engineering best practices, and fostering innovation.
5. Key Skills:
6. 5+ years of experience as a Data Engineer, with a proven track record of successful projects.
7. Profound knowledge of ETL/ELT tooling, data modeling, data catalogs, and data governance.
8. Hands-on experience with Python, SQL, Java, Scala, and/or Rust.
9. Expertise with Azure Synapse, Microsoft Fabric, Databricks, dbt, Infrastructure as Code, containerization (Docker, Kubernetes), and CI/CD pipelines and DevOps practices.