Data Analyst jobs in Germany
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Senior Machine Learning Engineer – Generative AI
Uno Fluechtlingshilfe
Senior Data Engineer
Job summary
A leading technology consulting firm is seeking a Senior Data Engineer to join their exciting growth stage. In this role, you will design robust data solutions, lead client engagements, and leverage your deep experience with the Microsoft Azure Tech Stack. This position offers the chance to influence data quality across various projects while mentoring junior engineers.
Qualifications
- Deep experience with the Microsoft Azure Tech Stack.
- Proficiency in Infrastructure as Code tools.
- Strong consulting background with proven client-facing experience.
Responsibilities
- Designing and building robust, scalable data pipelines.
- Leading client engagements to improve data infrastructure.
- Mentoring junior engineers and contributing to best practice development.
Skills
Tools
Masentó are partnered with an exciting Technology Consulting firm, who are in a truly exciting growth stage looking to scale their data solution expertise.
We are recruiting for a Senior Data Engineer, with a strong track-record of delivering end-to-end customer solutions, whilst working with the Azure Data Stack.
Role Responsibilities
- Designing and building robust, scalable data pipelines and integrations for client environments.
- Leading client engagements to assess existing data infrastructure and propose improvement strategies.
- Working cross-functionally with analysts, engineers, and stakeholders to optimize data availability and quality.
- Implementing Infrastructure as Code (IaC) for consistent, repeatable deployment of data platforms.
- Mentoring junior engineers and contributing to best practice development within internal teams.
Key Skills
- Deep experience with the Microsoft Azure Tech Stack (including Data Factory, Synapse, Azure SQL, Databricks, and Blob Storage).
- Proficiency in Infrastructure as Code tools such as Terraform or Bicep, preferably in cloud environments.
- Strong consulting background with proven client-facing experience across multiple engagements.
- Solid programming skills (e.g., Python, Scala, or SQL) and familiarity with distributed data processing.
- Knowledge of data governance, metadata management, and cloud-native architecture principles.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.