Senior Data Engineer
New Yesterday
Overview
Senior Data Engineer contractor needed to support the definition and delivery of an enterprise data platform with engineering best practices. The role will help the divisional data team (DDT) to understand, manage, and prioritise data engineering and transformation activities, and will report to the AVP Data Engineering who prioritises, plans, and drives the data engineering tasks required.
This role will build close working relationships with technology and business units across operating geographies and ensure that technical requirements are clearly understood throughout the project lifecycle, delivering a data warehouse that empowers reporting outputs meeting internal customer needs. The Senior Data Engineer contractor will be involved in analysis, design, implementation, testing, maintenance, and support for data-intensive pipelines and will contribute to enhancing system quality and innovation.
If you are a tech-savvy individual with a strong drive for creativity, excellence, and ambition, we want to hear from you.
Duties
- Prepare technical design specifications based on functional requirements and analysis documents.
- Implement, test, maintain, and support software as outlined in technical design specifications.
- Enhance system quality by identifying issues, common patterns, and formulating standard operating procedures.
- Identify and implement opportunities for system enhancements.
- Support Business Control compliance through technology and ensure IT Controls are incorporated into systems.
- Maintain and improve existing codebases and conduct peer code reviews.
- Liaise with team members to implement technical designs.
- Investigate and adopt new technologies as relevant.
- Review functional requirements, analysis, and design documents to provide feedback.
- Provide technical support to customers, solving problems and answering queries.
- Mentor other development staff and provide technical assistance as needed.
- Participate in architecture and code reviews.
- Support testing and validation activities within data-related projects and initiatives.
Qualifications & Experience
- Proven experience as an experienced Data Engineer.
- Extensive experience with SQL cloud databases like Snowflake and MS SQL Server.
- Solid experience with transformation tools (e.g., DBT Cloud) and understanding of an ETL tool (e.g., Matillion, SNP Glue).
- Experience with AWS and/or Azure DevOps and strong debugging experience.
- Understanding of data modeling, data curation, and orchestration.
- Experience with Business Intelligence tools (Power BI preferred).
- Knowledge of unit testing, test-driven development, functional testing, and performance considerations.
- Knowledge of at least one shell scripting language.
- Ability to network with key contacts outside of own expertise.
- Excellent interpersonal, organizational, presentation and facilitation skills.
- Result-oriented and customer-focused mindset with strong organizational skills.
- Excellent verbal and written communication skills for collaboration with stakeholders.
- Knowledge of reinsurance or insurance industry concepts is a plus.
Technologies
- SQL
- Snowflake
- DBT
- Azure DevOps or equivalent CI/CD tooling
Nice to have
- Power BI / Tableau
- SNP Glue / Matillion / FiveTran
- SAP
Key Skills & Behaviours
- Demonstrates appropriate technical skills and awareness of current issues in the life reinsurance industry.
- Takes responsibility for quality, completeness, and accuracy of work and that of the team.
- Able to prioritise competing requests and deadlines.
- Provides accurate and timely status updates and escalates issues appropriately.
- Open, fair team member who shares information and knowledge openly.
- Communicates clearly in writing and verbally, without over-reliance on technical language.
- Challenges the status quo and critically evaluates practices.
- embraces change and can work under challenging deadlines with flexibility and resourcefulness.
- Team player with ability to work with diverse skills and experiences.
- Agile project approach with focus on end goals.
Working For Pacific Life Re
Every person in our global team is valued for their unique qualities. We support expertise and individual ambitions, operate under pressure, and balance hard work with opportunities to have fun and relax. We host team-building days and focus on achievement.
We prioritize work-life balance with a range of employee benefits and wellbeing initiatives, and we support community involvement through fundraising, volunteering, and related activities.
Benefits (Permanent and Fixed Term Employees)
- Leave
- 25 days of annual leave with option to buy/sell more days
- Adoption and fertility leave
- Generous enhanced parental leave
- Healthcare
- Comprehensive private insurance coverage for employee and dependents
- Group Life Insurance and Income Protection
- Optical benefits
- Savings & Retirement
- 15% combined employee/employer contributions
- Wellness
- Subsidized gym membership
- Employee Assistance Program
- Cycle to Work and Electric Car Salary Sacrifice
- Time off for volunteering
- Charitable matching of employee donations
As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.
Pacific Life Re Values
Values statement available here; please refer to the company values for more information.
- Location:
- City Of London
- Job Type:
- FullTime
- Category:
- IT & Technology
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