At a Glance
- Tasks: Design and develop cloud-based BI solutions, dashboards, and reports.
- Company: Join LA International, a global leader in ICT recruitment and project solutions.
- Benefits: Enjoy flexible working with 1-2 days in the office and competitive pay.
- Why this job: Be part of a long-term project with a reputable company making an impact.
- Qualifications: 3-5 years experience in cloud BI, SQL proficiency, and strong analytical skills required.
- Other info: Diversity is celebrated here; all backgrounds are encouraged to apply.
The predicted salary is between 36000 - 60000 £ per year.
Location: London, 1-2 days per week
Contract Details: 4 months initially, with good scope for extension
£450 - £500 per day (Umbrella-PAYE)
Overview: Our client, a blue chip company, is seeking a Cloud Business Intelligence Engineer to join their team on a long-term project. The ideal candidate will have 3 to 5 years of experience and be capable of creating dashboards, reports, and collaborating with front-end developers on web-based visualizations.
Key Responsibilities:
- Design, develop, and maintain cloud-based BI solutions.
- Create and manage data models, dashboards, and reports using cloud platforms.
- Collaborate with stakeholders to understand business requirements and translate them into scalable cloud solutions.
- Perform data analysis to support decision-making, leveraging cloud data services.
- Ensure data accuracy, integrity, and security within cloud environments.
Key Skills & Experience:
- Proficiency in SQL and cloud data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
- Experience with cloud BI tools (e.g., Power BI, Tableau, Looker).
- Strong analytical and problem-solving skills focused on cloud data solutions.
- Knowledge of ETL processes and cloud data integration (e.g., AWS Glue, Azure Data Factory).
- Excellent communication and teamwork skills, especially in remote and distributed teams.
This is an excellent opportunity on a long-term programme. Apply now to have your CV reviewed directly.
About LA International: LA International is a HMG-approved ICT Recruitment and Project Solutions Consultancy, operating globally. We are committed to diversity and welcome applications from all backgrounds.
We are proud winners of multiple awards, including The Queen's Award for Enterprise: International Trade, for two consecutive periods.
Cloud Business Intelligence Engineer employer: Opplæringskontoret for Offshore fag
Contact Detail:
Opplæringskontoret for Offshore fag Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Business Intelligence Engineer
✨Tip Number 1
Familiarise yourself with the specific cloud platforms mentioned in the job description, such as Amazon Redshift and Google BigQuery. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Brush up on your SQL skills, as proficiency in SQL is crucial for this role. Consider working on sample projects or challenges that require complex queries to demonstrate your capabilities.
✨Tip Number 3
Network with professionals in the cloud BI space, especially those who have experience with tools like Power BI, Tableau, or Looker. Engaging in discussions or attending meetups can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with ETL processes and cloud data integration tools like AWS Glue or Azure Data Factory. Being able to articulate your past projects and how you've tackled data challenges will be beneficial.
We think you need these skills to ace Cloud Business Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cloud-based BI solutions, SQL proficiency, and any specific tools mentioned in the job description, such as Power BI or Tableau.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and how your skills align with the responsibilities. Mention your experience with data models and collaboration with developers.
Highlight Key Skills: In your application, emphasise your analytical and problem-solving skills, particularly in relation to cloud data solutions and ETL processes. Use specific examples to demonstrate these abilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects attention to detail, which is crucial for a Cloud Business Intelligence Engineer.
How to prepare for a job interview at Opplæringskontoret for Offshore fag
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and any cloud data warehousing solutions you've worked with, such as Amazon Redshift or Google BigQuery. Be prepared to discuss specific projects where you created dashboards or reports using these tools.
✨Demonstrate Collaboration Experience
Since the role involves working closely with front-end developers and stakeholders, share examples of how you've successfully collaborated in previous roles. Emphasise your communication skills and ability to translate business requirements into technical solutions.
✨Prepare for Data Analysis Questions
Expect questions that assess your analytical and problem-solving skills. Be ready to discuss how you've performed data analysis to support decision-making and ensure data accuracy and integrity in cloud environments.
✨Familiarise Yourself with ETL Processes
Brush up on your knowledge of ETL processes and cloud data integration tools like AWS Glue or Azure Data Factory. Be prepared to explain how you've used these tools in past projects to manage data effectively.