Senior Data Engineer

Masentó Group; Hamburg; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A leading technology consulting firm seeks a Senior Data Engineer to scale their data solutions. The role involves designing robust data pipelines, leading client engagements, and mentoring junior team members, using the Microsoft Azure Tech Stack. Ideal candidates will have strong consulting backgrounds and deep familiarity with Infrastructure as Code principles.

Qualifikationen

• Deep experience with Azure Data Factory, Synapse, SQL, Databricks, Blob Storage.
• Proficiency in Terraform or Bicep in cloud environments.
• Client-facing consulting experience.

Aufgaben

• Designing and building scalable data pipelines.
• Leading client engagements for data infrastructure improvement.
• Mentoring junior engineers and developing best practices.

Kenntnisse

Microsoft Azure Tech Stack

Infrastructure as Code

Consulting

Programming (Python, Scala, SQL)

Data Governance

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.