Lead / Senior Data Engineer – Microsoft Fabric & Power BI – Remote Europe

All European Careers BENELUX; España; On-site; EUR 70,000 - 110,000; Full time

Job summary

All European Careers BENELUX is seeking a Senior Data Engineer to lead end-to-end data projects using Microsoft Fabric, Azure Synapse and Power BI. You will analyse requirements, model data and deliver pipelines and BI solutions.

You will manage a small team of 2–3 developers, mentor colleagues and collaborate with architects, data scientists and analysts to promote best practices in data engineering and self-service analytics across multiple business areas.

Qualifications

• 7+ years of progressively responsible experience in data engineering.
• 4+ years of experience in data engineering with Microsoft Fabric or Azure Synapse and report development with Power BI.
• Strong experience with SQL and Python for data solutions.
• Proven experience with Data Vault and dimensional data modelling.
• Experience leading a small technical team and mentoring developers.

Responsibilities

• Lead end-to-end data projects, translating business requirements into scalable data models, pipelines and Power BI solutions.
• Develop data solutions using Microsoft Fabric, Azure Synapse, SQL and PySpark.
• Design database schemas and implement Data Vault and dimensional data models.
• Build and maintain complex Power BI dashboards and reports, supporting UAT and production deployment.
• Develop and optimize data pipelines, data quality controls, SQL queries and processing workflows.
• Ensure solutions meet performance, scalability, security and data governance requirements.
• Lead a small team of developers, coordinating priorities and delivery while mentoring.
• Collaborate with architects, data scientists, analysts and stakeholders to promote best practices.

Skills

Data engineering

Data modelling

Power BI

Microsoft Fabric

Azure Synapse

SQL

Python

Data Vault

Dimensional modelling

Team leadership

Education

Bachelor's degree

Master's degree

Tools

Microsoft Fabric

Azure Synapse

SQL

PySpark

Power BI

Job description

We are looking for a Senior Data Engineer to lead end-to-end data projects using Microsoft Fabric, Azure Synapse and Power BI, from requirements analysis and data modelling through data engineering, reporting and User Acceptance Testing (UAT).

You will combine hands-on data engineering and BI development with leadership of a small team of 2–3 developers, delivering data solutions across multiple business areas.

Tasks and Responsibilities

• Lead end-to-end data projects, translating business requirements into scalable data models, pipelines and Power BI solutions;
• Develop data solutions using Microsoft Fabric, Azure Synapse, SQL and PySpark;
• Design database schemas and implement Data Vault and dimensional data models;
• Build and maintain complex Power BI dashboards and reports, supporting UAT and production deployment;
• Develop and optimize data pipelines, data quality controls, SQL queries and processing workflows;
• Ensure solutions meet requirements for performance, scalability, security and data governance;
• Lead a small team of developers, coordinating priorities, workload and technical delivery while providing mentoring and guidance;
• Collaborate with architects, data scientists, analysts and business stakeholders and promote data engineering and self-service analytics best practices.

Profile

• Bachelor's or Master's degree;
• 7+ years of progressively responsible experience in data engineering, with a strong focus on data modelling;
• 4+ years of experience in data engineering with Microsoft Fabric or Azure Synapse and report development with Power BI;
• Strong expertise in the Microsoft data stack, particularly Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics and Power BI;
• Proven experience implementing Data Lake and Data Lakehouse architectures and working with large datasets and data pipelines;
• Strong experience with Data Vault and dimensional data modelling;
• Proficiency in SQL and Python, with experience developing data solutions using PySpark;
• Experience with data governance, data security, Azure cloud architecture and CI/CD for data workflows;
• Proven experience leading a data, data science or similar technical team, including direct reports, mentoring and technical project delivery;
• Experience developing Power BI reports, including Paginated Reports or SSRS.

Experience with Apache Spark, Databricks, Snowflake, Azure DevOps, big data technologies, AI-assisted development or AI/ML techniques would be an advantage.