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- Tasks: Join a dynamic team to manage and optimise data processes using cutting-edge Fabric tools.
- Company: Broster Buchanan is a global leader in the food industry with a turnover exceeding £8Bn.
- Benefits: Enjoy remote work flexibility, competitive salary, and a 10% bonus.
- Why this job: Be part of an exciting project team with opportunities for growth and innovation in data engineering.
- Qualifications: Experience with Azure technologies and Fabric tools is essential; familiarity with data governance is a plus.
- Other info: Ad hoc travel to the office in Liverpool, Birmingham, or London required 1-2 times per month.
The predicted salary is between 44000 - 52000 £ per year.
Broster Buchanan are partnered with a global business within the food industry with a turnover of £8Bn+ who are looking for a Fabric Data Engineer to join as they set up an exciting new project team within the group. This would suit an experienced Azure Data Engineer with good Fabric experience looking to join a new, growing team with plenty of exciting projects and cutting tech on the horizon.
This will be a mostly remote role but would suit someone near Liverpool, Birmingham or London as there will be ad hoc travel into the office when required for onsite meetings, workshops etc. 1-2 times per month. A salary of £55k - £65k + 10% bonus is on offer.
Responsibilities:- Help set up and deliver the future direction of strategy and approach to the management, storage and usage of data
- Collaborate with their wider technology and business teams to ensure goals and visions are aligned and achieved
- Help with setting up the data warehousing and lake processes, including collaborating with their architecture teams to figure out what that will look like
- At times, guide and mentor the junior data engineers within the team, reviewing their ideas, providing feedback and identifying their knowledge gaps to support their development
- Design, develop, and manage data pipelines using Fabric Data Factory
- Leverage Fabric Data Integration for seamless data source integration
- Implement and maintain robust data governance frameworks with Fabric Data Management
- Create and maintain interactive dashboards and visualizations in Power BI and Tableau
- Collaborate with cross-functional teams to gather requirements and translate them into technical solutions
- Monitor and troubleshoot data processes, ensuring performance and reliability
- Document data workflows, processes, and system architecture
- Good experience with Azure technologies for Data Engineering, with 12 months or more using Fabric tools as part of real world projects, ideally through the end to end project lifecycle
- Strong experience with setting up and using big data storage solutions, including data warehouses, data lakes or data lake houses
- Able to build and demonstrate a solid understanding of the concepts of real time data streaming, batch data processing and data transformation processes
- Experience with core tools such as Data Factory, Databricks, Synapse, Kafka and Python
- Any exposure to data migration/ETL would be highly beneficial, with SQL/T-SQL, SSIS, SSRS and SSAS, as there is a large data migration project planned
- Any previous experience with setting up data governance and processes would be highly beneficial
- Good proficiency in Power BI and Tableau
- Strong knowledge of data integration techniques and ETL/ELT processes
- Experience with data modelling, data warehousing, and data governance best practices
Fabric Data Engineer employer: Broster Buchanan Ltd
Contact Detail:
Broster Buchanan Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fabric Data Engineer
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience with Azure and Fabric. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Familiarise yourself with the latest trends and updates in Azure Data Engineering and Fabric tools. Follow relevant blogs, forums, and social media channels to stay informed and demonstrate your knowledge during conversations.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data pipelines or governance frameworks. Be ready to share insights on challenges faced and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
If possible, create a portfolio of your work that highlights your experience with data integration, visualisation tools like Power BI and Tableau, and any relevant projects. This can serve as a great talking point during discussions.
We think you need these skills to ace Fabric Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure technologies and Fabric tools. Include specific projects where you've used these skills, especially in data engineering and management.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly your experience in setting up data warehousing and governance frameworks.
Showcase Relevant Projects: If you have worked on relevant projects, describe them in detail. Focus on your contributions to data pipelines, integration processes, and any mentoring roles you've taken on with junior engineers.
Highlight Soft Skills: Don't forget to mention your collaboration and communication skills. Since the role involves working with cross-functional teams, demonstrating your ability to gather requirements and translate them into technical solutions is crucial.
How to prepare for a job interview at Broster Buchanan Ltd
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure technologies during the interview. Be prepared to discuss specific projects where you've used Fabric tools, as this will demonstrate your hands-on knowledge and ability to contribute to their data strategy.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines, data warehousing, and integration techniques. Brush up on your understanding of real-time data streaming and batch processing, as well as tools like Data Factory and Databricks, to confidently answer any queries.
✨Demonstrate Collaboration Skills
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated in past projects. Highlight your ability to gather requirements and translate them into technical solutions, showcasing your teamwork skills.
✨Discuss Mentorship Experience
If you have experience guiding junior engineers, make sure to mention it. Discuss how you've provided feedback and supported their development, as this aligns with the responsibilities of mentoring within the new team.
