Lead Data Engineer – Working with Azure & Unstructured Data

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Amsterdam / €90000 - €91000 annum

INFO

Salary
SALARY:

€90000 - €91000

Location

LOCATION

Amsterdam

Job Type
JOB TYPE

Permanent

Lead Data Engineer - Azure (Hands-On & Team Leadership)

One Year fixed term contract - to go permanent

Based in Amsterdam

Hands on/Management focused role

Our client, is a well-established company operating in the legal space, they are seeking a Lead Data Engineer to take a dual role: driving hands-on technical excellence while managing a talented team of data engineers. This is a unique opportunity to shape the company's data strategy, deliver high-impact Azure-based solutions, and mentor a team in a collaborative environment.

Role Overview:

The Lead Data Engineer will:

  • Build and maintain scalable data pipelines, data lakes, and warehouses on Microsoft Azure.
  • Work hands-on with Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Data Lake Storage.
  • Lead, mentor, and manage a team of data engineers, balancing leadership with practical, hands-on contributions.
  • Collaborate with stakeholders, data scientists, and analysts to translate business needs into robust, efficient data solutions.
  • Drive best practices in data modelling, governance, security, and performance optimisation.

Key Responsibilities

  • Design, develop, and maintain end-to-end ETL/ELT pipelines in Azure.
  • Ensure high data quality, integrity, and performance across all pipelines and storage solutions.
  • Guide the team in adopting modern data engineering practices and cloud-native solutions.
  • Balance hands-on development with strategic planning and team mentorship.
  • Implement monitoring, testing, and automation for data solutions using Azure DevOps or similar CI/CD tools.

Candidate Requirements

  • Proven experience as a Data Engineer with at least some team leadership experience.
  • Must have experience working with Unstructured data
  • Strong hands-on expertise in Azure cloud services: Data Factory, Synapse, Databricks, Data Lake Storage.
  • Proficiency in SQL and at least one programming language (Python, Scala, or similar).
  • Experience building data pipelines, warehouses, and large-scale analytics solutions.
  • Strong problem-solving skills and ability to balance hands-on work with team management.
  • Excellent communication skills and ability to mentor and grow team members.

Desirable Skills

  • Familiarity with streaming solutions (Event Hubs, Kafka).
  • Experience with machine learning pipelines or advanced analytics.
  • Knowledge of data security, compliance, and governance frameworks.
  • Familiarity with CI/CD in Azure DevOps for automated data workflows.

What's on Offer

  • Competitive salary and benefits.
  • Flexible / hybrid working options.
  • Opportunity to lead and influence data strategy at scale.
  • Work in a collaborative environment where you can be both hands-on and strategic.

If you are a Lead Data Engineer who thrives at the intersection of hands-on engineering and team leadership, this role is a perfect opportunity to make a significant impact.

CONTACT

Charlotte York

Managing Consultant ? Netherlands

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