At a Glance
- Tasks: Lead the design and optimisation of data platforms and pipelines.
- Company: Join IOA, a top insurance brokerage known for innovation and excellence.
- Benefits: Enjoy a full-time role with opportunities for mentorship and professional growth.
- Why this job: Be part of a dynamic team shaping the future of data in insurance.
- Qualifications: 3+ years in data engineering, strong SQL skills, and cloud experience required.
- Other info: Flexible work environment with a commitment to diversity and inclusion.
The predicted salary is between 30000 - 42000 £ per year.
Insurance Office of America (IOA) is the fourth largest privately held insurance brokerage in the United States. Founded in 1988, IOA is a recognized leader in providing property and casualty, employee benefits, and personal lines insurance and risk management solutions as well as insurtech innovation. Headquartered in Longwood, Florida, part of the greater Orlando community, IOA has more than 1,300 associates located in over 60 offices in the U.S. and United Kingdom.
Job Summary
The Lead Data Engineer / Architect is responsible for managing, expanding, and optimizing our business data platforms, supporting and working with project teams, business stakeholders, and product owners to ensure optimal data delivery, consistent data architecture, and effective performance of data solutions.
Essential Functions
- Leading and coordinating the engineering architecture.
- Coordinating & debugging DevOps release deployments to test/production environments.
- Assisting the cloud engineering team with the coordinating & debugging of Azure infrastructure buildouts, monitoring & maintenance.
- Developing, maintaining & debugging ingestion/ETL pipelines in Azure Data Factory.
- Developing, maintaining & debugging ingestion/ETL database objects in Azure SQL.
- Azure SQL performance tuning/optimization.
- Data Platform Design and Architecture: Leading the design and implementation of data platforms, including data lakes, data warehouses, and other data processing systems.
- Data Pipeline Development: Designing, building, and maintaining robust data pipelines for data ingestion, transformation, and loading.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and assisting in re-designing infrastructure for greater scalability.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders including the IT operations, automation and development teams to assist with data-related technical issues and support their data infrastructure needs.
- Participate in code reviews, proactively identifying and mitigating potential issues and defects.
- Work with Director of Data and Analytics to manage competing resources and priorities and plan delivery schedule and execution of product roadmap.
- Data Modelling and Database Design: Define or review and modify data models and database structures for optimal performance and data organization.
- Data Quality and Governance: Support the Director of Data and Analytics in ensuring data accuracy, integrity, and compliance with data regulations and best practices.
- Data Security: Work with the Information Security Cloud Engineering Team to review and make modifications where needed to support robust data security measures and access controls.
- Team Leadership and Mentorship: Mentoring and guiding data engineers, fostering a collaborative and high-performing team.
Essential Qualifications And Skills
- 3+ years’ experience in a lead data engineering or lead data architecture role.
- Bachelor’s degree in computer science, statistics, informatics, information systems, or another quantitative field.
- Advanced working SQL knowledge and experience working with relational databases, ETL pipelines, architectures, and data sets.
- Experience with scripting languages such as R and Python.
- Extensive experience with a cloud platform, Microsoft Azure preferred.
- Experience in building and maintaining ML models.
- Prior experience working in the financial services or insurance industry (desired).
- Demonstrated ability to be reliable and flexible.
- A track record of following through on commitments.
- Ability to grasp new concepts and technologies and adapt to changes and demands in a fast-paced, dynamic environment.
- Displays intellectual curiosity, problem-solving skills and has a value-driven perspective to understanding business context and impact.
- Exceptional analytical and conceptual thinking skills.
- Excellent documentation skills.
- Excellent planning, organizational, and time management skills.
Insurance Office of America is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Lead Data Engineer/Architect employer: Insurance Office of America
Contact Detail:
Insurance Office of America Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer/Architect
✨Tip Number 1
Familiarise yourself with Azure services, especially Azure Data Factory and Azure SQL. Being well-versed in these platforms will not only help you during the interview but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Showcase your experience with data pipeline development by preparing examples of past projects. Be ready to discuss how you designed, built, and maintained robust data pipelines, as this is a key responsibility for the role.
✨Tip Number 3
Highlight your leadership skills and experience mentoring others. The role involves guiding data engineers, so be prepared to share specific instances where you've successfully led a team or project.
✨Tip Number 4
Research the insurance industry and understand its data needs. Having insights into how data impacts customer acquisition and operational efficiency in this sector will set you apart from other candidates.
We think you need these skills to ace Lead Data Engineer/Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and architecture. Focus on your skills with SQL, Azure, and ETL pipelines, as well as any leadership roles you've held.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about the role at Insurance Office of America. Mention specific projects or experiences that demonstrate your ability to lead data initiatives and work with cross-functional teams.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include your proficiency in scripting languages like R and Python, and any experience you have with cloud platforms, particularly Microsoft Azure.
Highlight Problem-Solving Abilities: Use examples from your past work to illustrate your problem-solving skills. Discuss how you've tackled challenges in data management or architecture, and how those experiences make you a great fit for the role.
How to prepare for a job interview at Insurance Office of America
✨Showcase Your Technical Skills
As a Lead Data Engineer/Architect, you'll need to demonstrate your expertise in SQL, ETL pipelines, and cloud platforms like Azure. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle real-world challenges. Think of examples where you've optimised data delivery or improved data architecture, and be ready to explain your thought process.
✨Highlight Leadership Experience
Since the role involves mentoring and guiding other data engineers, share your experiences in team leadership. Discuss how you've fostered collaboration and high performance within your teams.
✨Understand the Business Context
Insurance Office of America operates in a specific industry, so it's crucial to understand their business model. Research the company and be ready to discuss how your skills can contribute to their goals, especially in terms of data-driven decision-making.