Analytics Engineer

Why Join This Opportunity?

• Hybrid working model with a mix of office and remote work.
• Work with leading Microsoft Data & Analytics technologies.
• Join a collaborative, high-performing analytics team.
• Exposure to large-scale enterprise data environments.
• Opportunity to influence reporting strategy and business intelligence delivery.
• Continuous learning and professional development opportunities.
• Work on impactful projects that improve business decision-making across the organisation.

The Role

Working closely with stakeholders across the business, you'll develop trusted reporting assets, semantic models, dashboards, and data products that enable self-service analytics and informed decision-making.

Key Responsibilities

• Design, develop, and maintain interactive Power BI dashboards, reports, and scorecards.
• Build and manage semantic models and reporting datasets.
• Translate business requirements into scalable analytics solutions.
• Analyse data to identify trends, risks, opportunities, and actionable insights.
• Develop and maintain PySpark notebooks within Microsoft Fabric environments.
• Create reporting-ready datasets through data cleansing, transformation, and validation.
• Write, optimise, and maintain complex SQL queries.
• Support enterprise data governance and data quality initiatives.
• Document reporting processes, models, and analytical solutions.
• Contribute to the design and continuous improvement of the analytics environment.
• Collaborate with business stakeholders, analysts, and technical teams to deliver high-quality data solutions.

What We're Looking For

Essential Experience

• 4+ years' experience in Analytics Engineering, Business Intelligence, or Data Analytics.
• Strong experience building enterprise reporting and analytics solutions.
• Advanced SQL development skills.
• Proven experience designing and developing Power BI dashboards and semantic models.
• Experience working with Microsoft Fabric and modern cloud-based analytics platforms.
• Experience developing data transformation solutions using PySpark.
• Strong understanding of data modelling, ETL/ELT processes, and data warehousing principles.
• Experience with Git and version control practices.
• Excellent problem-solving, analytical, and stakeholder engagement skills.

Technical Skills

• Microsoft Fabric
• Power BI
• Azure Synapse Analytics
• Azure Data Factory
• OneLake
• Lakehouse Architectures
• SQL
• PySpark
• DAX
• Power Query (M)
• Data Modelling
• ETL / ELT Frameworks
• Git
• Data Warehousing
• Analytics Engineering Practices

Advantageous Experience

• Delta Lake
• CI/CD Pipelines
• Dimensional Modelling (Kimball)
• DataOps practices
• Forecasting and Predictive Analytics
• Machine Learning concepts
• Financial Services or Insurance industry experience

Ideal Candidate Profile

• Passionate about data, analytics, and delivering business value.
• Equally comfortable engaging with technical teams and business stakeholders.
• Curious, self-motivated, and committed to continuous learning.
• Able to take ownership of solutions from concept through to delivery.
• Skilled at translating complex data into meaningful business insights.
• Focused on improving processes, reporting capabilities, and data-driven decision-making.

Apply Today

This opportunity is ideal for professionals with a strong foundation in Power BI, Microsoft Fabric, Azure Data Services, SQL, and analytics engineering who want to make a measurable impact within a data-driven organisation.

Keywords: Analytics Engineer, Microsoft Fabric, Power BI Developer, BI Developer, Data Analytics, Azure Synapse, Azure Data Factory, SQL Developer, PySpark, Data Warehouse, Business Intelligence, Data Engineering, OneLake, Reporting Analyst, Data & Analytics.