Lead / Senior Data Engineer - Microsoft Fabric & Power Bi - Remote Europe

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 ResponsibilitiesLead 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 optimizedata pipelines, data quality controls, SQL queries and processing workflows; Ensure solutions meet requirements for performance, scalability, security and data governance; Lead a small team ofdevelopers, 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.ProfileBachelor’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 datagovernance, 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.#J-*****-Ljbffr

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 ResponsibilitiesLead 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 optimizedata pipelines, data quality controls, SQL queries and processing workflows; Ensure solutions meet requirements for performance, scalability, security and data governance; Lead a small team ofdevelopers, 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.ProfileBachelor’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 datagovernance, 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. #J-*****-Ljbffr