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- Tasks: Lead and deliver complex data programmes in the Insurance sector.
- Company: Join Randstad Technologies, a top recruitment firm in IT & Engineering.
- Benefits: Enjoy a hybrid work model and competitive salary up to £90,000.
- Why this job: Make an impact by driving strategic data initiatives in a dynamic environment.
- Qualifications: Must have extensive experience in data programmes within the Insurance sector.
- Other info: Opportunity to mentor teams and work with cutting-edge technologies.
The predicted salary is between 54000 - 72000 £ per year.
Job Description
Job Opportunity: Data Engineering Delivery Lead – Insurance Sector
Location: London (Hybrid – 3 days onsite)Type: PermanentSalary: Up to £90,000 per annum (Total CTC)Industry Requirement: Insurance background is mandatory
Are you a seasoned Data Engineering professional with a proven track record of delivering large-scale data programmes within the Insurance sector? Our client, a leading name in the industry, is seeking a Data Engineering Delivery Lead to drive strategic data initiatives and lead high-performing technical teams.
Role Overview:
As the Data Engineering Delivery Lead, you will be responsible for delivering complex, enterprise-wide data programmes. Working closely with senior stakeholders and cross-functional teams, you will lead the design and implementation of scalable data solutions that align with business objectives and technical best practices.
Key Responsibilities & Core Competencies:
- Lead the successful delivery of major data programmes in the Insurance domain
- Mentor and manage technical teams to ensure project goals are met
- Design and implement solutions using GCP, with a strong focus on Data Lakehouse Architecture, Master Data Management (MDM), and Dimensional Data Modeling
- Work with modern databases and platforms, including Snowflake, Oracle, SQL Server, and PostgreSQL
- Apply Agile and conventional methodologies to manage development and delivery lifecycles
- Communicate effectively with stakeholders across the business to ensure alignment and engagement
Required Technical Skills:
- GCP Data Architecture
- Data Lakehouse Architecture
- MDM (Conceptual)
- Dimensional Data Modeling
- Snowflake, Oracle, SQL Server, PostgreSQL
- Python and Power BI (desirable)
- Knowledge of test automation tools and practices
- Strong understanding of Agile and software development best practices
Ideal Candidate Profile:
- Extensive experience in delivering data programmes within the Insurance or Reinsurance sector
- Strong leadership and organisational skills with the ability to manage multiple priorities
- Excellent problem-solving and decision-making capabilities
- Effective communicator with proven stakeholder engagement experience
- Business acumen with a deep understanding of insurance data and systems
Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Data Engineering Delivery Lead employer: Randstad Technologies
Contact Detail:
Randstad Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Delivery Lead
✨Tip Number 1
Make sure to highlight your experience in the insurance sector during networking events or conversations. This will help you connect with industry professionals who can provide insights or even refer you to opportunities.
✨Tip Number 2
Join relevant online forums and groups focused on data engineering and the insurance industry. Engaging in discussions can help you stay updated on trends and may lead to job leads or recommendations.
✨Tip Number 3
Consider reaching out to current or former employees of the company you're interested in. They can offer valuable information about the company culture and the specifics of the role, which can be beneficial during interviews.
✨Tip Number 4
Prepare to discuss specific projects you've led in the past that align with the responsibilities of the Data Engineering Delivery Lead. Being able to articulate your leadership experience and technical skills will set you apart from other candidates.
We think you need these skills to ace Data Engineering Delivery Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly within the insurance sector. Emphasise your leadership roles and any specific projects that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the insurance industry and your technical expertise. Mention specific technologies like GCP, Snowflake, and your experience with data lakehouse architecture to demonstrate your fit for the role.
Highlight Relevant Skills: In your application, clearly outline your skills in data architecture, dimensional data modelling, and Agile methodologies. Use examples from your past work to illustrate how you've successfully delivered data programmes.
Showcase Leadership Experience: Since the role involves leading technical teams, include examples of how you've mentored others or managed projects. Highlight your problem-solving abilities and stakeholder engagement to show you can drive strategic initiatives.
How to prepare for a job interview at Randstad Technologies
✨Showcase Your Insurance Expertise
Make sure to highlight your experience in the insurance sector during the interview. Discuss specific projects where you delivered data programmes and how they impacted the business. This will demonstrate your understanding of industry-specific challenges and solutions.
✨Demonstrate Leadership Skills
As a Data Engineering Delivery Lead, you'll need to manage technical teams effectively. Prepare examples of how you've mentored team members or led projects in the past. Emphasise your ability to motivate and guide teams towards achieving project goals.
✨Familiarise Yourself with Relevant Technologies
Brush up on your knowledge of GCP, Data Lakehouse Architecture, and the databases mentioned in the job description, such as Snowflake and PostgreSQL. Be ready to discuss how you've used these technologies in previous roles and how they can be applied to the new position.
✨Prepare for Stakeholder Engagement Scenarios
Effective communication with stakeholders is crucial. Think of instances where you've successfully engaged with different levels of stakeholders. Be prepared to discuss how you ensured alignment and managed expectations throughout a project lifecycle.
