At a Glance
- Tasks: Design and build data pipelines using Microsoft Fabric and Azure technologies.
- Company: Join a global company that values diversity and innovation.
- Benefits: Competitive salary, bonus scheme, hybrid working, and career development opportunities.
- Other info: Collaborative environment with global gatherings and a focus on personal growth.
- Why this job: Shape the future of enterprise analytics and make impactful data-driven decisions.
- Qualifications: Experience in data engineering, SQL, and modern cloud-based analytics technologies.
The predicted salary is between 40000 - 50000 £ per year.
We are seeking a Data Engineer to join our Business Intelligence team and help shape the next generation of our enterprise analytics platform. Our team is responsible for designing, developing, and maintaining the organisation's data platform, transforming data from multiple business systems into trusted, accessible, and actionable information. We work closely with stakeholders across the business to deliver scalable data solutions and intuitive Power BI reporting that support data-driven decision making.
We are currently evolving our architecture towards a modern Microsoft Fabric-based platform, leveraging Lakehouse and Delta Lake technologies to create a high-performance, scalable analytics environment capable of processing large volumes of data efficiently. This platform will form the foundation of future reporting, analytics, and data products across the organisation.
This role will play a key part in designing and building data ingestion pipelines, transforming and modelling data, and establishing best practices for our growing data platform.
- Design, develop, and maintain data pipelines using Microsoft Fabric and Azure technologies.
- Integrate data from multiple source systems, including Dynamics 365 CE, Dynamics 365 Finance & Operations, and other enterprise applications.
- Design and implement scalable data models to support reporting and analytics requirements.
- Develop robust data transformation, validation, and quality assurance processes.
- Work closely with business stakeholders, analysts, and report developers to understand data requirements and deliver effective solutions.
- Support the creation of high-quality, user-friendly Power BI datasets and reporting solutions.
- Maintain documentation covering data lineage, architecture, transformations, and business rules.
- Contribute to data governance, security, and platform best practices.
- Identify opportunities to improve platform performance, scalability, and maintainability.
Data Engineering
- Experience designing and developing data pipelines and ETL/ELT processes.
- Strong SQL skills with experience working on large datasets.
- Experience working with structured and semi-structured data sources such as SQL databases, JSON, CSV, XML, and APIs.
- Understanding of data modelling principles and analytical data structures.
- Experience troubleshooting data quality and performance issues.
Microsoft Data Platform
- Experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or similar modern data platforms.
- Understanding of cloud-based data storage and processing concepts.
- Experience with Python, Spark, or PySpark.
- Understanding of how data structures support Power BI and analytical reporting.
- Experience preparing data for consumption by reporting and analytics teams.
- Experience with Power BI semantic models and performance optimisation.
- Experience with source control and DevOps practices.
We're looking for someone who enjoys solving data problems, building scalable solutions, and working with modern cloud-based analytics technologies. The ideal candidate will be passionate about creating a robust data platform that enables the business to make better decisions through trusted, accessible data.
Competitive Salary. Bonus Scheme. 25 Days Annual Leave (plus bank holidays). Hybrid working model. Healthcare & Company Pension. E-learning and career development opportunities. Global company gatherings and events. Creditsafe is an equal opportunities employer that values diversity.
Microsoft Data Engineer in Cardiff employer: Creditsafe
At Creditsafe, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in our Cardiff office. As a Data Engineer, you'll benefit from a competitive salary, a hybrid working model, and ample opportunities for career development through e-learning, all while contributing to the evolution of our cutting-edge Microsoft Fabric-based analytics platform. Join us to be part of a diverse team dedicated to transforming data into actionable insights that drive business success.
