Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team as a Data Engineer, working with BI, ETL, and data pipelines.
- Company: We're a dynamic company based in Kent, focused on innovative data solutions.
- Benefits: Enjoy a permanent position with the flexibility of remote work 3-4 days a week.
- Why this job: Be part of a collaborative culture that values your skills and offers growth opportunities.
- Qualifications: Experience in Data, BI (PowerBI), and ETL is essential; Azure Synapse knowledge is a plus.
- Other info: Ideal for candidates in Kent, Sussex, Surrey, or SE London.
The predicted salary is between 36000 - 60000 £ per year.
Our client is looking to recruit an experienced Data Engineer to join its Kent-based team. It does need someone who is a bit of an all-arounder who has experience across the skills:
- Data
- BI (PowerBI)
- ETL
Any experience with Azure Synapse Analytics, ADF is extremely useful. The key for this role is being in the Kent/Sussex/Surrey/SE London area due to the office commitment needed of 3-4 days a week.
If you would like to find out more, then please contact Karen at Jump IT in the first instance.
Data Engineer - BI, ADF, ETL - Kent 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 Engineer - BI, ADF, ETL - Kent
✨Tip Number 1
Familiarise yourself with Azure Synapse Analytics and ADF. Since these are key skills for the role, having a solid understanding of how they work will help you stand out during discussions.
✨Tip Number 2
Brush up on your ETL processes and data warehousing concepts. Being able to discuss your experience with these topics confidently can demonstrate your expertise in the field.
✨Tip Number 3
Prepare to showcase your PowerBI skills. Having examples of dashboards or reports you've created can provide tangible evidence of your capabilities and impress potential employers.
✨Tip Number 4
Network with professionals in the Kent area. Attend local meetups or online forums related to data engineering to connect with others in the industry and potentially learn about job opportunities.
We think you need these skills to ace Data Engineer - BI, ADF, ETL - Kent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Data Engineering, BI tools like PowerBI, and ETL processes. Use specific examples that demonstrate your skills in Azure Synapse Analytics and ADF.
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 how it aligns with the company's needs, particularly your ability to work in a team and your commitment to being in the Kent area.
Showcase Relevant Projects: If you have worked on any projects involving data warehousing, pipelines, or analytics, be sure to include these 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 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 Data, BI (especially PowerBI), ETL processes, and any familiarity with Azure Synapse Analytics and ADF. Prepare specific examples of projects where you've successfully implemented these technologies.
✨Understand the Company’s Needs
Research the company and its data engineering requirements. Be ready to discuss how your skills can directly benefit their operations, especially in relation to data warehousing and pipeline management.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss scenarios where you had to troubleshoot ETL processes or optimise data pipelines, demonstrating your analytical thinking.
✨Emphasise Team Collaboration
Since the role requires working closely with a team, be prepared to talk about your experience collaborating with others. Share examples of how you’ve worked effectively in a team environment, particularly in data-related projects.
