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- Tasks: Join a dynamic team to develop and enhance data platforms, including a new Data Lakehouse.
- Company: Be part of a vibrant insurance organization located in the heart of London.
- Benefits: Enjoy a competitive salary of £90K plus bonuses and benefits, with hybrid work options.
- Why this job: This role offers excellent career development in a forward-thinking, people-centric environment.
- Qualifications: You need extensive experience with SQL, DataBricks, and Azure Data Factory (ADF).
- Other info: Ideal for those with a background in (re)insurance or MGA environments.
The predicted salary is between 54000 - 90000 £ per year.
Data Engineer, Azure, DataBricks
London/hybrid
£90K + bonus and benefits
SQL, DataBricks, Azure Data Factory (ADF), Data Lakehouse
Data Engineer with extensive experience in Data Lakehousing practices, using SQL, DataBricks, and Azure Data Factory (ADF) is required to join a vibrant and growing insurance organisation with offices in the heart of the city. This is a pivotal role that will see you working collaboratively with stakeholders and wider data teams to develop key data platforms including a new Data Lakehouse.
This is a fantastic opportunity to join a forward-thinking, people-centric organisation with excellent scope for long term career development.
Key Responsibilities:
- Develop and enhance the Group Data Lakehouse and other data platforms.
- Collaborate with key business, data and tech teams to understand data requirements and deliver solutions.
- Set and enforce data management standards, ensuring best practices across the organisation.
- Conduct solution reviews and designs, providing assurance on development approaches.
- Manage multiple project deliveries simultaneously with outstanding attention to detail.
- Provide guidance and support to wider data teams as required
Key Skills and Experience:
- Extensive experience in Data Lakehousing practices, particularly using SQL, DataBricks, and Azure Data Factory (ADF).
- Strong data management background with hands-on experience.
- Proven ability to manage multiple projects in a fast-paced, agile, and dynamic working environment.
- Excellent attention to detail and ability to maintain high standards.
- Strong problem-solving skills and ability to provide technical guidance and support.
- Excellent communication skills, both written and verbal, with the ability to influence stakeholders.
- Experience working within an MGA (Managing General Agent) or (re)insurance carrier is highly desirable.
For a full consultation, please send your CV to Arc IT Recruitment.
Data Engineer, Azure, Databricks employer: ARC IT Recruitment
Contact Detail:
ARC IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Azure, Databricks
✨Tip Number 1
Familiarize yourself with the latest trends and best practices in Data Lakehousing, especially focusing on SQL, DataBricks, and Azure Data Factory. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in the field.
✨Tip Number 2
Network with professionals in the insurance industry, particularly those who work with data platforms. Engaging with them can provide insights into the specific challenges they face and how you can position yourself as a solution provider.
✨Tip Number 3
Prepare to discuss your experience managing multiple projects in fast-paced environments. Be ready to share specific examples that highlight your attention to detail and problem-solving skills, as these are crucial for the role.
✨Tip Number 4
Brush up on your communication skills, both written and verbal. Practice explaining complex technical concepts in simple terms, as you'll need to influence stakeholders and collaborate effectively with various teams.
We think you need these skills to ace Data Engineer, Azure, Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in Data Lakehousing practices, SQL, DataBricks, and Azure Data Factory (ADF). Use specific examples that demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention how your background aligns with the key responsibilities and skills outlined in the job description.
Highlight Collaboration Skills: Since the role involves working collaboratively with stakeholders and data teams, emphasize your experience in teamwork and communication. Provide examples of successful projects where you worked with others to achieve common goals.
Showcase Problem-Solving Abilities: In your application, include instances where you've successfully solved complex problems or provided technical guidance. This will demonstrate your strong problem-solving skills, which are crucial for this position.
How to prepare for a job interview at ARC IT Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, DataBricks, and Azure Data Factory in detail. Highlight specific projects where you've successfully implemented Data Lakehouse practices, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Research the insurance organization and understand their data needs. Be ready to explain how your skills can help them develop their data platforms and meet their business objectives.
✨Demonstrate Collaboration Skills
Since the role involves working with various stakeholders, prepare examples of how you've effectively collaborated with different teams in the past. Emphasize your ability to communicate complex technical concepts to non-technical stakeholders.
✨Prepare for Problem-Solving Scenarios
Expect questions that assess your problem-solving abilities. Think of specific challenges you've faced in previous roles and how you approached them, particularly in a fast-paced and agile environment.
