Senior Data Engineer

Masentó Group; Düsseldorf; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

An innovative Technology Consulting firm is looking for a Senior Data Engineer to spearhead growth in their data solutions. The ideal candidate will have extensive experience with the Microsoft Azure stack, building scalable solutions, and mentoring junior staff, ensuring high levels of data quality and availability.

Qualifikationen

• Deep proficiency in Azure Data Factory, Synapse, and Databricks.
• Experience in client-facing roles, delivering end-to-end solutions.

Aufgaben

• Design and build scalable data pipelines for clients.
• Lead client engagements to assess and improve data infrastructure.
• Mentor junior engineers and contribute to best practices.

Kenntnisse

Microsoft Azure Tech Stack

Infrastructure as Code (IaC)

Consulting

Programming (Python, Scala, SQL)

Data Governance

Tools

Terraform

Bicep

Jobbeschreibung

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.