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- Tasks: Design and manage data pipelines, ensuring quality and performance for actionable insights.
- Company: Join a leading social network focused on innovative data solutions and collaboration.
- Benefits: Enjoy 32 days holiday, remote work options, and enhanced pension schemes.
- Why this job: Be part of a dynamic team that values data-driven decisions and offers growth opportunities.
- Qualifications: Proven experience as a Data Engineer with skills in Microsoft Fabric, SQL Server, and Power BI.
- Other info: Flexible working arrangements and a supportive culture await you!
The predicted salary is between 48000 - 84000 £ per year.
Design, develop, and manage/maintain robust end-to-end data pipelines and dataflows within MS Fabric, integrated with other related business systems, to support project controls and reporting use cases. Implement integration of external data sources, including: Primavera P6 EPPM via REST and SOAP APIs, EMiR (WGM cost repository) through structured ETL/ELT processes and ODBC direct connection. Design and manage integrations with Microsoft Dataverse, PowerApps, SharePoint, and other systems as required. Establish and optimise Lakehouse and Data Warehouse structures to support reporting data requirements. Collaborate with business users to ensure data models and DAX measures support actionable insights. Ensure data quality, reliability, and performance through robust engineering standards and automated testing. Support development of dashboards in Power BI to meet business requirements. Performance optimisation of Power BI datasets, semantic models, and visualisations. Ensure all data handling, storage, and transmission complies with relevant security and privacy standards (e.g. ISO 27001, UK GDPR, and company policies). Implement role-based access controls (RBAC) and data masking to restrict access to sensitive project, financial, and personnel data.
To be considered for this position you will have proven experience as a Data Engineer or equivalent role with demonstrable end-to-end platform. Previous hands-on expertise with Microsoft Fabric and/or Azure Data Factory, SQL Server, and Power BI is essential for the role. The ideal candidate will have experience integrating data from enterprise platforms via REST and SOAP APIs and have a strong understanding of relational data modelling, warehousing, and data pipelines.
We offer a competitive package, including:
- 32 days holiday, increasing to 36 based on length of service.
- Enhanced pension scheme.
- Salary sacrifice – (Electric vehicle scheme, annual leave purchase & cycle to work).
- Remote & hybrid working options (subject to role requirements).
- Enhanced maternity & paternity Leave.
- Company sick pay (available after qualifying period).
Data Engineer[1115500] employer: WGM Engineering Ltd
Contact Detail:
WGM Engineering Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer[1115500]
✨Tip Number 1
Familiarise yourself with Microsoft Fabric and Azure Data Factory. Since these are essential tools for the role, having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience with REST and SOAP APIs. Engaging in conversations on platforms like LinkedIn can help you gain insights and potentially get referrals.
✨Tip Number 3
Prepare to discuss your previous projects involving data pipelines and integrations. Be ready to explain your approach to ensuring data quality and performance, as this will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 4
Stay updated on the latest trends and best practices in data engineering, particularly around data warehousing and Lakehouse structures. This knowledge will not only help you in interviews but also show your commitment to continuous learning.
We think you need these skills to ace Data Engineer[1115500]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer, particularly with Microsoft Fabric, Azure Data Factory, and Power BI. Use specific examples of projects where you've designed and managed data pipelines or integrated external data sources.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your hands-on expertise with relevant technologies and how your skills align with the job requirements, such as data modelling and performance optimisation.
Showcase Relevant Projects: If you have worked on projects involving REST and SOAP APIs, or have experience with data quality and security standards like ISO 27001 and UK GDPR, be sure to include these in your application. This will demonstrate your capability to meet the role's demands.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at WGM Engineering Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Microsoft Fabric, Azure Data Factory, and SQL Server. Bring examples of data pipelines you've designed or managed, and be ready to explain the challenges you faced and how you overcame them.
✨Understand the Business Context
Research the company and its business systems. Understand how data engineering supports project controls and reporting use cases. This will help you demonstrate how your work can directly impact their operations.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Be ready to discuss how you would handle specific scenarios, such as integrating external data sources or optimising Power BI datasets. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Emphasise Data Quality and Security
Highlight your commitment to data quality, reliability, and security standards. Discuss your experience with role-based access controls and data masking, and how you ensure compliance with regulations like ISO 27001 and UK GDPR.
