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- Tasks: Lead projects and enhance data platforms while collaborating with global teams.
- Company: Join a vibrant insurance organization located in the heart of London.
- Benefits: Enjoy a competitive salary of £100K plus bonuses and benefits, with hybrid work options.
- Why this job: Be part of a forward-thinking, people-centric company with great career development opportunities.
- Qualifications: Experience in Data Lakehousing, SQL, DataBricks, and Azure Data Factory is essential.
- Other info: Ideal for those who thrive in fast-paced, agile environments and have strong leadership skills.
The predicted salary is between 72000 - 84000 £ per year.
Lead Data Engineer, Azure, DataBricks
London/hybrid
£100K + bonus and benefits
SQL, DataBricks, Azure Data Factory (ADF), Data Lakehouse
Lead Data Engineer with 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 leading projects and working collaboratively with stakeholders and wider data teams on a global scale. The ideal candidate will be technically savvy with excellent communication skills and the ability to lead strategically and conceive new ideas and approaches.
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:
- Excellent leadership, communication and stakeholder management skills.
- 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.
- Experience working within a similar role within insurance.
For a full consultation, please send your CV to Arc IT Recruitment.
Lead 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 Lead 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 in interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the insurance industry who are working with data engineering. Attend relevant meetups or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights into the role and company culture.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully led teams or managed multiple projects simultaneously. Highlight your problem-solving skills and how you've provided technical guidance in past roles, as these are crucial for the Lead Data Engineer position.
✨Tip Number 4
Research StudySmarter's values and mission to align your application with our people-centric approach. Be ready to articulate how your leadership style and vision for data management can contribute to our goals and enhance collaboration across teams.
We think you need these skills to ace Lead Data Engineer, Azure, DataBricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Data Lakehousing practices, SQL, DataBricks, and Azure Data Factory (ADF). Use specific examples that demonstrate your leadership and project management skills.
Craft a Compelling Cover Letter: In your cover letter, emphasize your ability to lead projects and collaborate with stakeholders. Mention your strong communication skills and how they have helped you in previous roles, especially in fast-paced environments.
Showcase Relevant Experience: Detail your hands-on experience in data management and your familiarity with the insurance sector. Highlight any specific projects where you successfully managed multiple deliveries while maintaining high standards.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. Ensure that your documents reflect your attention to detail, which is crucial for this role.
How to prepare for a job interview at ARC IT Recruitment
✨Showcase Your Technical Expertise
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 technical proficiency and relevance to the role.
✨Demonstrate Leadership Skills
Since this is a lead position, be ready to share examples of how you've led teams or projects in the past. Discuss your approach to stakeholder management and how you ensure effective communication across different teams.
✨Prepare for Problem-Solving Scenarios
Expect to face questions that assess your problem-solving abilities. Prepare to discuss challenges you've encountered in previous roles and how you overcame them, particularly in a fast-paced and dynamic environment.
✨Emphasize Collaboration and Communication
This role requires collaboration with various teams. Be sure to highlight your experience working with cross-functional teams and how you ensure that data requirements are met while maintaining high standards of data management.
