Cloud Business Intelligence Engineer

Experis - ManpowerGroup; London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

An established industry player is looking for a Cloud Business Intelligence Engineer to design and maintain innovative cloud-based BI solutions. This dynamic role involves creating dashboards and reports while collaborating with front-end developers to deliver impactful web-based visualizations. The ideal candidate will possess strong SQL skills and experience with cloud data warehousing and BI tools. Join a forward-thinking team where your analytical skills will drive data-driven decision-making and ensure data integrity in cloud environments. This is a fantastic opportunity to contribute to cutting-edge projects in a collaborative setting.

Qualifications

• 3-5 Jahre Erfahrung in Cloud BI-Lösungen und Datenanalyse.
• Fähigkeit zur Erstellung von Dashboards und Berichten mit Cloud-Tools.

Responsibilities

• Entwicklung und Wartung cloudbasierter BI-Lösungen.
• Zusammenarbeit mit Stakeholdern zur Umsetzung von Geschäftsanforderungen.

Skills

SQL

Cloud Data Warehousing

Power BI

Tableau

ETL Processes

Data Analysis

Cloud BI Tools

Problem-Solving Skills

Tools

Amazon Redshift

Google BigQuery

AWS Glue

Azure Data Factory

Job description

Cloud Business Intelligence Engineer

Duration: 4 Months

Location: London (1-2 Days per week Onsite)

Rate: £515 per day Max via Umbrella

Role Description:

We are seeking an experienced individual with 3 to 5 years of relevant experience. The candidate should be capable of creating dashboards and reports, and working with front-end developers to create web-based visualizations.

Responsibilities:

1. Design, develop, and maintain cloud-based BI solutions.
2. Create and manage data models, dashboards, and reports using cloud platforms.
3. Collaborate with stakeholders to understand business requirements and translate them into scalable cloud solutions.
4. Perform data analysis to support decision-making processes, leveraging cloud data services.
5. Ensure data accuracy, integrity, and security within cloud environments.

Skills Required:

• Proficiency in SQL and cloud data warehousing (e.g., Amazon Redshift, Google BigQuery).
• Experience with cloud BI tools (e.g., Power BI, Tableau, Looker).
• Strong analytical and problem-solving skills, with a focus on cloud-based data solutions.
• Knowledge of ETL processes and cloud data integration (e.g., AWS Glue, Azure Data Factory).
• Excellent communication and teamwork abilities, especially in remote and distributed teams.