Senior Data Engineer

Masentó Group; Hamburg; Remote; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading technology consultancy in Hamburg is looking for a Senior Data Engineer Consultant to design and build scalable data pipelines. The role involves leading client engagements, optimizing data infrastructure, and mentoring junior engineers. Candidates should have deep experience with the Azure Tech Stack and strong programming skills in Python, Scala, or SQL. This position offers the chance to work on innovative data solutions in a rapidly growing environment.

Qualifikationen

• Strong track record of delivering end-to-end customer solutions.
• Experience working with the Azure Data Stack.

Aufgaben

• 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.
• Implementing Infrastructure as Code for consistent, repeatable deployment.
• Mentoring junior engineers and contributing to best practice development.

Kenntnisse

Deep experience with the Microsoft Azure Tech Stack

Proficiency in Infrastructure as Code tools such as Terraform or Bicep

Strong consulting background

Solid programming skills (e.g., Python, Scala, or SQL)

Knowledge of data governance

Jobbeschreibung

Senior Data Engineer Consultant - Germany, Remote

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.