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For Companies At a Glance
- Tasks: Join our team as a Data BI Engineer, working with Azure Synapse and ETL processes.
- Company: We're a dynamic company based near Maidstone, Kent, focused on data solutions.
- Benefits: Enjoy a permanent position with opportunities for growth and development.
- Why this job: This role offers a chance to enhance your skills in a collaborative environment.
- Qualifications: Experience with Azure Synapse, ADF, ETL, and PowerBI is essential.
- Other info: Office presence is required, so being local to Kent is a must.
The predicted salary is between 36000 - 60000 £ per year.
Our client is looking for a bit of an all-arounder who has experience across the skills:
- Azure Synapse Analytics
- ADF
- Data Engineering
- ETL
- BI/PowerBI
The key for this role is being in the Kent area due to the office commitment needed. If you are seeking a new challenge, please contact Karen at Jump IT in the first instance.
Data BI Engineer - Azure Synapse, ADF, ETL employer: Jump IT Recruitment Solutions Ltd
Contact Detail:
Jump IT Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data BI Engineer - Azure Synapse, ADF, ETL
✨Tip Number 1
Make sure to network with professionals in the Kent area who are already working in data engineering or BI roles. Attend local meetups or industry events to connect with potential colleagues and learn more about the specific skills they value.
✨Tip Number 2
Familiarise yourself with Azure Synapse and ADF by completing online courses or certifications. This will not only enhance your skills but also demonstrate your commitment to staying updated in the field, making you a more attractive candidate.
✨Tip Number 3
Prepare to discuss your experience with ETL processes and data warehousing in detail during interviews. Be ready to share specific examples of projects you've worked on, as this will showcase your practical knowledge and problem-solving abilities.
✨Tip Number 4
Research the company culture and values of the organisation you're applying to. Tailor your conversations to reflect how your personal values align with theirs, which can help you stand out as a candidate who fits well within their team.
We think you need these skills to ace Data BI Engineer - Azure Synapse, ADF, ETL
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Synapse, ADF, ETL, and BI tools like PowerBI. Use specific examples to demonstrate your skills in data engineering and warehousing.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are the perfect fit for this role. Mention your relevant experience and express your enthusiasm for the opportunity to work in Kent.
Showcase Relevant Projects: If you have worked on any projects involving data pipelines or analytics, include them in your application. Describe your role and the impact of your contributions.
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 BI Engineer.
How to prepare for a job interview at Jump IT Recruitment Solutions Ltd
✨Showcase Your Technical Skills
Make sure to highlight your experience with Azure Synapse, ADF, and ETL processes. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in data engineering or BI projects and how you overcame them, particularly using PowerBI and SQL.
✨Understand the Company’s Needs
Research the company and its data strategy. Understanding their business model and how they utilise data can help you tailor your responses and show that you're genuinely interested in contributing to their goals.
✨Demonstrate Team Collaboration
Since this role requires working closely with others, be ready to discuss your experience in team settings. Share examples of how you've collaborated on data projects, highlighting your communication skills and ability to work in a team environment.
