Data Engineer
Role Overview
As a Data Engineer, you'll be responsible for building, integrating and supporting enterprise data and analytics solutions using Microsoft Fabric and Power BI. You'll work across data ingestion, transformation, modelling and reporting while ensuring solutions are secure, governed and scalable.
Key responsibilities include:
Design, build and support data solutions using Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2 and Semantic Models
Develop and maintain batch and near real-time data pipelines from enterprise applications, APIs, databases, SaaS platforms and cloud storage
Create data transformations using SQL, Python and PySpark
Implement Medallion Architecture across Bronze, Silver and Gold data layers
Support the development and optimisation of Power BI datasets, dashboards and reporting solutions
Monitor and improve data quality, performance, reliability and security
Maintain data lineage, documentation, mappings, runbooks and technical standards
Assist with data platform modernisation, migration and continuous improvement initiatives
Provide operational support, troubleshooting and root cause analysis for data platform issues
Collaborate with business stakeholders to translate requirements into practical data solutions
About You
We're looking for a technically capable Data Engineer who enjoys solving data challenges and collaborating with stakeholders to deliver meaningful outcomes.
Essential Experience
Experience working with Microsoft Fabric and modern cloud-based data platforms
Strong skills in SQL and data modelling
Experience building and supporting data pipelines and integration solutions
Knowledge of Lakehouse, data warehousing and analytics concepts
Experience using Python and/or PySpark for data transformation and automation
Exposure to Power BI, semantic models, DAX and reporting solutions
Understanding of data governance, security, access controls and compliance requirements
Strong analytical, troubleshooting and problem-solving skills
Ability to manage multiple priorities and work effectively within project and operational environments
Highly Regarded
Experience with Microsoft SQL Server, Azure SQL and Azure Data Factory
Exposure to enterprise data platform projects or cloud transformation initiatives
Microsoft Data, Azure or Fabric certifications
Knowledge of database performance tuning, monitoring and optimisation
Experience with automation and Infrastructure-as-Code practices
What You'll Bring
Strong communication and stakeholder engagement skills
A collaborative approach and willingness to learn
Attention to detail and commitment to quality
Strong documentation and organisational skills
Passion for data, analytics and continuous improvement
Why Join Us?
Work with leading Microsoft Fabric and cloud technologies
Be part of a modern data and analytics transformation journey
Hybrid and flexible work arrangements
Supportive and collaborative team environment
Opportunities to grow your technical expertise and career
Work on impactful projects that directly influence business outcomes
If you're passionate about data engineering and want to help build a modern, scalable data platform that supports analytics, reporting and future AI capabilities, we'd love to hear from you.
Apply today and help shape the future of data and insights.
Key Skills for This Role
Full Job Posting
About the Role
As a Data Engineer, you'll be responsible for building, integrating and supporting enterprise data and analytics solutions using Microsoft Fabric and Power BI. You'll work across data ingestion, transformation, modelling and reporting while ensuring solutions are secure, governed and scalable.
Key responsibilities include:
Design, build and support data solutions using Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2 and Semantic Models
Develop and maintain batch and near real-time data pipelines from enterprise applications, APIs, databases, SaaS platforms and cloud storage
Create data transformations using SQL, Python and PySpark
Implement Medallion Architecture across Bronze, Silver and Gold data layers
Support the development and optimisation of Power BI datasets, dashboards and reporting solutions
Monitor and improve data quality, performance, reliability and security
Maintain data lineage, documentation, mappings, runbooks and technical standards
Assist with data platform modernisation, migration and continuous improvement initiatives
Provide operational support, troubleshooting and root cause analysis for data platform issues
Collaborate with business stakeholders to translate requirements into practical data solutions
About You
We're looking for a technically capable Data Engineer who enjoys solving data challenges and collaborating with stakeholders to deliver meaningful outcomes.
Essential Experience
Experience working with Microsoft Fabric and modern cloud-based data platforms
Strong skills in SQL and data modelling
Experience building and supporting data pipelines and integration solutions
Knowledge of Lakehouse, data warehousing and analytics concepts
Experience using Python and/or PySpark for data transformation and automation
Exposure to Power BI, semantic models, DAX and reporting solutions
Understanding of data governance, security, access controls and compliance requirements
Strong analytical, troubleshooting and problem-solving skills
Ability to manage multiple priorities and work effectively within project and operational environments
Highly Regarded
Experience with Microsoft SQL Server, Azure SQL and Azure Data Factory
Exposure to enterprise data platform projects or cloud transformation initiatives
Microsoft Data, Azure or Fabric certifications
Knowledge of database performance tuning, monitoring and optimisation
Experience with automation and Infrastructure-as-Code practices
What You'll Bring
Strong communication and stakeholder engagement skills
A collaborative approach and willingness to learn
Attention to detail and commitment to quality
Strong documentation and organisational skills
Passion for data, analytics and continuous improvement
Why Join Us?
Work with leading Microsoft Fabric and cloud technologies
Be part of a modern data and analytics transformation journey
Hybrid and flexible work arrangements
Supportive and collaborative team environment
Opportunities to grow your technical expertise and career
Work on impactful projects that directly influence business outcomes
If you're passionate about data engineering and want to help build a modern, scalable data platform that supports analytics, reporting and future AI capabilities, we'd love to hear from you.
Apply today and help shape the future of data and insights.
Qualifications
- Strong communication and stakeholder engagement skills
- A collaborative approach and willingness to learn
- Attention to detail and commitment to quality
- Strong documentation and organisational skills
- Passion for data, analytics and continuous improvement
- Why Join Us?
- Work with leading Microsoft Fabric and cloud technologies
- Be part of a modern data and analytics transformation journey
- Hybrid and flexible work arrangements
- Supportive and collaborative team environment
- Opportunities to grow your technical expertise and career
- Work on impactful projects that directly influence business outcomes
- If you're passionate about data engineering and want to help build a modern, scalable data platform that supports analytics, reporting and future AI capabilities, we'd love to hear from you.
- Apply today and help shape the future of data and insights.
- We're looking for a technically capable Data Engineer who enjoys solving data challenges and collaborating with stakeholders to deliver meaningful outcomes.
- Essential Experience
- Experience working with Microsoft Fabric and modern cloud-based data platforms
- Strong skills in SQL and data modelling
- Experience building and supporting data pipelines and integration solutions
- Knowledge of Lakehouse, data warehousing and analytics concepts
- Experience using Python and/or PySpark for data transformation and automation
- Exposure to Power BI, semantic models, DAX and reporting solutions
- Understanding of data governance, security, access controls and compliance requirements
- Strong analytical, troubleshooting and problem-solving skills
- Ability to manage multiple priorities and work effectively within project and operational environments
- Highly Regarded
- Experience with Microsoft SQL Server, Azure SQL and Azure Data Factory
- Exposure to enterprise data platform projects or cloud transformation initiatives
- Microsoft Data, Azure or Fabric certifications
- Knowledge of database performance tuning, monitoring and optimisation
- Experience with automation and Infrastructure-as-Code practices
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