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- Tasks: Design and manage data pipelines, enhance SQL reporting, and maintain a unified customer view.
- Company: Join a fantastic institution in SW London focused on data-driven innovation.
- Benefits: Enjoy 30 days holiday, flexible on-site work, and a vibrant company culture.
- Why this job: Be part of a team driving data-led change and collaborate with analytics experts.
- Qualifications: Strong curiosity for data, experience with Azure technologies, and excellent communication skills required.
- Other info: Initial fixed-term contract with potential for permanent position.
The predicted salary is between 43200 - 72000 £ per year.
This fantastic institution located in SW London is seeking a dynamic and versatile Data Engineer / Analytics Engineer to contribute to the development, enhancement, and management of their data systems, pipelines, and reporting infrastructure. This role will focus on designing and maintaining efficient data pipelines while building a scalable data warehouse architecture. A major aspect of this position will involve integrating new data sources to create a unified Single Customer View. Additionally, collaboration with the Analytics and Insights teams is essential to ensure they have seamless access to the necessary data, as well as assisting in optimizing SQL reporting processes.
The ideal candidate will:
- Possess a strong curiosity and passion for exploring, transforming, and integrating data from diverse sources.
- Be adept at troubleshooting and fine-tuning data processes to enhance data quality and stability.
- Thrive in team settings, with excellent communication skills and the confidence to engage with various stakeholders.
Key Responsibilities:
- Support the development of the data warehouse and enhance the SQL reporting framework.
- Design, implement, and manage data pipelines to gather, process, and store information from multiple data sources, automating the transition from UAT to Production.
- Maintain and evolve the Single Customer View to consolidate data from various sources.
- Demonstrate hands-on experience with Microsoft Azure technologies (including Synapse Analytics, Datalake, Azure SQL), as well as familiarity with DevOps and GitHub practices.
Contract Details:
- Initially a Fixed Term Contract, likely transitioning to Permanent.
- 1-2 days a week on-site.
- 30 days holiday.
- A fantastic company culture.
Please apply ASAP if you would like to play a key role in driving Data-Led change across an absolute Institution.
Contact Detail:
Boston Hale Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Familiarise yourself with Microsoft Azure technologies, especially Synapse Analytics and Azure SQL. Having hands-on experience will not only boost your confidence but also demonstrate your capability to potential employers.
✨Tip Number 2
Engage with the data engineering community online. Join forums or LinkedIn groups where you can discuss best practices and trends in data pipelines and warehouse architecture. Networking can lead to valuable insights and job opportunities.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of how you've optimised data processes in the past. Be ready to discuss these experiences during interviews to highlight your troubleshooting abilities.
✨Tip Number 4
Brush up on your SQL skills, particularly in reporting. Being able to demonstrate your proficiency in SQL during discussions will be crucial, as it’s a key part of the role and will set you apart from other candidates.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills. Highlight your experience with data pipelines, SQL reporting, and Microsoft Azure technologies in your application.
Tailor Your CV: Customise your CV to reflect the specific skills and experiences that align with the job requirements. Emphasise your hands-on experience with Azure technologies and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your ability to collaborate with teams. Mention specific examples of how you've integrated data from diverse sources or optimised reporting processes.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Boston Hale
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Microsoft Azure technologies, especially Synapse Analytics and Azure SQL. Bring examples of past projects where you designed and managed data pipelines or enhanced SQL reporting frameworks.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your troubleshooting skills. Prepare to share specific instances where you fine-tuned data processes to improve quality and stability, highlighting your analytical thinking.
✨Emphasise Team Collaboration
Since this role involves working closely with the Analytics and Insights teams, be ready to discuss how you've successfully collaborated in previous roles. Share examples of how you communicated effectively with stakeholders to ensure seamless access to data.
✨Express Your Curiosity for Data
The ideal candidate should have a strong passion for exploring and integrating data. Be sure to convey your enthusiasm for data transformation and your curiosity about new data sources during the interview.
