Location: Abingdon, Oxfordshire (Hybrid Working)
AM Healthcare Group are a market leading international healthcare products and services provider, operating primarily in areas that enhance mobility and accessibility including orthotics, prosthetics, and wheelchairs. We have more than 60 sites across the UK and Ireland, as well as operations in France, The Netherlands and Sweden: employing approximately 700+ staff.
We have an exciting opportunity for a Business Intelligence Data Engineer to join our team in Abingdon, Oxfordshire.
Working at Head Office & Remote
This position will predominantly be working remotely with travel to the office expected at least once a week or when required.
Job role summary
We are currently seeking an experienced Business Intelligence Data Engineer who is looking for an opportunity to develop their career and be a part of our large and dynamic team in Abingdon. The Data Engineer will be responsible for designing, developing, and maintaining Business Intelligence solutions using Microsoft Power BI. This role involves working extensively with Microsoft Fabric (F64) and Lakehouse architectures, Data Flows, and Data Pipelines to ensure the seamless integration and transformation of data from various sources. The ideal candidate will have a strong background in data analysis, data modelling, and Power BI development.
Key Responsibilities:
1. Datawarehouse/Lakehouse Architecture: Design, implement, and manage data architectures, including Lakehouse frameworks, to support scalable and efficient data storage and retrieval for BI solutions.
2. Data Flows: Develop and manage Power BI Data Flows, enabling the preparation, transformation, and integration of data from various sources into a unified and consistent format for reporting and analytics.
3. Data Pipelines (Data Factory): Create and maintain data pipelines to automate the extraction, transformation, and loading (ETL) of data into Power BI, ensuring real-time or near-real-time data availability for business users.
4. Data Modelling: Create and maintain complex data models, including relationships, calculated columns, and measures, to support reporting and analytics needs.
5. Data Integration: Extract, transform, and load (ETL) data from various sources, including databases, cloud services, and APIs, into Power BI.
Skills & Experience:
Education:
Desired but not essential: Microsoft Certified: Fabric Analytics Engineer Associate
Experience:
5+ years of experience in:
- Business Intelligence
- Data Analytics
- Or a related field with a focus on Fabric development
Technical Skills:
- Experience with data integration and transformation using Microsoft Fabric.
- Proficiency in using Microsoft Fabric for data modelling and analytics.
- Understanding of data governance and security within Microsoft Fabric.
- Proficiency in Microsoft Power BI, including Power Query, DAX.
- Strong understanding of relational databases, SQL, and data warehousing concepts.
- Experience with ETL processes and tools (e.g., SSIS, Azure Data Factory).
- Knowledge of Lakehouse architectures and data pipeline management.
- Basic understanding of Azure services, including Azure SQL Database, Azure Synapse Analytics, or similar cloud platforms.
- Desired Experience with data extraction and integration from Navision/BC Central
What We Offer:
- Competitive market salary.
- Industry leading training opportunities.
- Incremental holiday allowance 33 days up to 38 days (inclusive of bank holidays).
- Refer a friend incentive scheme.
- Continued professional development.
To apply please email your CV with a covering letter ASAP to recruitment@am-healthcare.com. For more details and additional vacancies please see our website www.amhealthcaregroup.com.
Eligibility to Work in the UK: Please note that applicants must have the right to work in the UK at the time of application. Unfortunately, we are unable to provide visa sponsorship for this role.
AM Healthcare Group are an equal opportunities employer, we have a clear goal of driving diversity and inclusion across all operations of the group.
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