At a Glance
- Tasks: Join a dynamic team to develop high-quality data solutions and enhance business data richness.
- Company: A leading specialty insurer known for innovative risk management and a strong commitment to its people.
- Benefits: Enjoy a competitive salary, attractive benefits, and a diverse, inclusive work environment.
- Why this job: Be part of an exciting IT transformation and contribute to impactful data operations in the insurance industry.
- Qualifications: Extensive knowledge of data warehousing, strong SQL skills, and proficiency in Python and AWS required.
- Other info: Ideal for proactive problem solvers looking to make a difference in a growing organisation.
The predicted salary is between 48000 - 72000 £ per year.
Why Join Them?
Standing still is not an option in the current world of insurance. They are one of the world's leading specialty insurers, with deep expertise in their chosen lines of business, a solid balance sheet, and an unparalleled track record. They approach risk evaluation and management like no one else in the industry. Their core values focus on empowering their people, delivering on commitments, and providing creative and innovative solutions to their clients.
Job Purpose:
They are in the midst of an IT transformation and are shifting towards a product-centric operating model. As a Senior Developer with experience in Agile and DevOps working, you will be part of a dynamic development team. You will analyze, develop, troubleshoot, design, assemble, and deliver solutions that provide real value to the business. Your role will focus on producing high-quality software releases and supporting the required artefacts. You'll be guided by collective knowledge, tools, methods, and standards to ensure the best practices are followed.
Key Responsibilities:
- Develop and implement high-quality solutions for the core Data Warehouse.
- Utilize best practices throughout the SDLC process to ensure changes are managed end-to-end.
- Enhance the data richness and level of data used by the business.
- Develop, update, and maintain technical documentation for software projects.
- Resolve service defects and incidents, performing root-cause analysis.
- Collaborate with business partners to understand requirements and translate them into fit-for-purpose solutions.
- Assist in the implementation of change using main technologies deployed in the warehouse.
- Participate in architecture, technical design, and product implementation discussions.
- Contribute to Agile meetings throughout the development cycle.
- Support Data Operations solutions according to agreed service management processes.
Performance Objectives:
- Prioritize user needs and overall customer experience when developing Data Operations solutions.
- Proactively identify and solve problems.
- Deliver high-quality data solutions with minimal defects.
- Prioritize work effectively to ensure maximum value is delivered in each 'sprint.'
Skills and Experience Specification:
Essential:
- Extensive knowledge of data warehousing, including physical modelling, ETL, ELT, CDC, semantic layers, and reconciliation principles.
- Strong SQL knowledge.
- Proficient in Python, Terraform, Snowflake, and AWS.
- Experience in monitoring, automated testing, reporting design, and dashboarding.
- Critical thinking and a proactive approach.
Desirable:
- Knowledge of the insurance industry and London market insurance.
- Experience with Data Vault 2.0.
- Relevant qualifications, such as Chartered Institute of Insurance certifications or Lloyd's LLMIT.
What They Offer:
They offer a competitive salary and an attractive employee benefits package. As a successful and growing organization, they seek energetic and confident individuals to join their professional team. They are an equal opportunity employer and are committed to providing a diverse and inclusive work environment.
Senior Data Operations Developer employer: Xpertise
Contact Detail:
Xpertise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Operations Developer
✨Tip Number 1
Familiarise yourself with the latest trends in data warehousing and the specific technologies mentioned in the job description, such as Snowflake and AWS. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with Agile and DevOps methodologies by preparing examples of how you've successfully implemented these practices in previous roles. Being able to discuss your hands-on experience will demonstrate your fit for the dynamic development team.
✨Tip Number 3
Network with professionals in the insurance industry, especially those who have experience with data operations. Engaging with them on platforms like LinkedIn can provide insights into the company culture and may even lead to referrals.
✨Tip Number 4
Prepare to discuss how you prioritise user needs and enhance customer experience in your projects. Having concrete examples ready will show that you align with their core values and understand the importance of delivering high-quality solutions.
We think you need these skills to ace Senior Data Operations Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data warehousing, SQL, and the technologies mentioned in the job description, such as Python and AWS. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: Write a cover letter that reflects your understanding of the company's values and how your background aligns with their needs. Mention your experience with Agile and DevOps, and express your enthusiasm for contributing to their IT transformation.
Showcase Relevant Projects: Include details about past projects where you developed high-quality data solutions or worked on data warehousing. Highlight any experience with ETL processes, automated testing, or monitoring tools to showcase your technical expertise.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a Senior Developer role.
How to prepare for a job interview at Xpertise
✨Showcase Your Technical Skills
Make sure to highlight your extensive knowledge of data warehousing, SQL, and the technologies mentioned in the job description, such as Python, Terraform, Snowflake, and AWS. Be prepared to discuss specific projects where you've successfully implemented these skills.
✨Demonstrate Agile and DevOps Experience
Since the role involves working in a dynamic development team, it's crucial to share your experience with Agile methodologies and DevOps practices. Provide examples of how you've contributed to sprints and collaborated effectively with team members.
✨Prepare for Problem-Solving Questions
Expect questions that assess your critical thinking and problem-solving abilities. Prepare to discuss past challenges you've faced in data operations and how you approached resolving them, particularly focusing on root-cause analysis.
✨Understand the Business Context
Familiarise yourself with the insurance industry and the specific challenges it faces. Being able to relate your technical expertise to business needs will demonstrate your ability to deliver fit-for-purpose solutions that enhance user experience.