Azure Data Engineer + Power BI Senior - Consulting

As part of our GDS Consulting team, you will be part of NCLC team delivering specific to Microsoft account. You will be working on latest Microsoft BI technologies and will collaborate with other teams within Consulting services.

The opportunity:

We're looking for resources with expertise in Microsoft BI, Power BI, Azure Data Factory, Data Bricks to join the group of our Data Insights team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of our service offering.

Your key responsibilities:

• Responsible for managing multiple client engagements.
• Understand and analyse business requirements by working with various stakeholders and create the appropriate information architecture, taxonomy and solution approach.
• Work independently to gather requirements, cleansing extraction and loading of data.
• Translate business and analyst requirements into technical code.
• Create interactive and insightful dashboards and reports using Power BI, connecting to various data sources and implementing DAX calculations.
• Design and build complete ETL/Azure Data Factory processes moving and transforming data for ODS, Staging, and Data Warehousing.
• Design and development of solutions in Data Bricks, Scala, Spark, SQL to process and analyze large datasets, perform data transformations, and build data models.
• Design SQL Schema, Database Schema, Stored procedures, function, and T-SQL queries.

Skills and attributes for success:

• Collaborating with other members of the engagement team to plan the engagement and develop work program timelines, risk assessments and other documents/templates.
• Able to manage senior stakeholders.
• Experience in leading teams to execute high quality deliverables within stipulated timeline.
• Skills in Power BI, Azure Data Factory, Databricks, Azure Synapse, Data Modelling, DAX, Power Query, Microsoft Fabric.
• Strong proficiency in Power BI, including data modelling, DAX, and creating interactive visualizations.
• Solid experience with Azure Databricks, including working with Spark, PySpark (or Scala), and optimizing big data processing.
• Good understanding of various Azure services relevant to data engineering, such as Azure Blob Storage, ADLS Gen2, Azure SQL Database/Synapse Analytics.
• Strong SQL skills and experience with one of the following: Oracle, SQL, Azure SQL.
• Good to have experience in SSAS or Azure SSAS and Agile Project Management.
• Basic knowledge on Azure Machine Learning services.
• Excellent written and communication skills and ability to deliver technical demonstrations.
• Quick learner with "can do" attitude.
• Demonstrating and applying strong project management skills, inspiring teamwork and responsibility with engagement team members.

To qualify for the role, you must have:

• A bachelor's or master's degree.
• A minimum of 4-7 years of experience, preferably background in a professional services firm.
• Excellent communication skills with consulting experience preferred.

Ideally, you'll also have:

• Analytical ability to manage multiple projects and prioritize tasks into manageable work products.
• Can operate independently or with minimum supervision.