Senior Engineer, Data Engineering

2 weeks ago

Potters Bar Hertfordshire, United Kingdom Canada Life Limited Full time

Canada Life UK looks after the retirement, investment and protection needs of individuals, families and companies. We help to build better futures for our customers, our intermediaries and our employees by operating as a modern, agile and welcoming organisation.
Canada Life UK is transforming to create a more customer-focused business by providing our customers with expertise on financial and tax planning, offering home finance and annuities propositions, and providing collective fund solutions to third party customers.
We have a great opportunity for an enthusiastic Data Engineer. This role will work with a small team of specialists delivering a modern data platform to underpin the company's growth through digital services. You'll have the opportunity to make a difference with your skills and you'll mentor team members to help them develop.
You will be working collaboratively to deliver strategic data driven initiatives. You will play a lead role in designing and building data pipelines and enabling the technologies to create efficient data flows required by various data models of both transactional and analytics solutions in a wide variety of areas across the business.
This role requires a deep understanding of Cloud (Azure) services with hands-on implementation experience in batch and streaming architectures and Software Engineering best practices. You must have experience of working in an Agile Continuous Integration environment and be focused on quality of implementation.
To design, develop and deploy data applications to ingest, transform, and store data to be used in Machine Learning Models and reporting
To design, develop and deploy production-grade data pipelines to feed data to our data platform.
To write and deploy ETL applications and scripts across a range of data sources and stores
To analyse and improve efficiency, scalability, reliability and performance of our Data platforms and systems infrastructure
To practice disciplined software engineering (e.g. automated testing, code reviews, and writing efficient, pragmatic code)
To manage and administer the Data and analytical systems as required, supporting various Machine Learning/Analytical use-cases.
Knowledge and hands-on experience of data, databases, and data technologies including AI, ML, ETL, BI
Strong experience of Data Warehouses/ Data Marts with good understanding of Data Models
Knowledge of SSIS & SQL - either Oracle or SQL Server
Experience of automation using Python or another scripting language
Experience of DevOps process and deployment pipelines with exposure to tools such as Azure DevOps, Jenkins, Git Repository or equivalent tool.
Excellent communication, interpersonal and presentation skills - ability to explain complex IT applications in simple user-friendly language
Possesses a flexible attitude and is willing to work with a range of technologies and languages
A constant learner, actively interested in updating skill sets and knowledge, following trends in the Data community
Qualification in Computer Science, Computer Engineering or related discipline.
Knowledge of insurance or financial services industry applications and functionality
We believe in recognising and rewarding our people, so we offer a competitive salary and benefits package that's regularly reviewed. As a Canada Life UK colleague, you'll receive a competitive salary and comprehensive reward package including a generous pension and bonus scheme, along with, income protection, private medical insurance and life assurance. We have a fantastic number of other benefits and support services as well as regular personal and professional development.
We care about doing the right thing for our people, customers and community and helping others to build better futures. We want colleagues to have rewarding careers with us so we invest in the development of our people, technology and workplaces. That's why we offer a range of training, flexible working and opportunities to grow and develop.
Diversity and inclusion
Building an inclusive workplace with a diverse workforce where everyone can feel they belong and achieve their potential regardless of gender, ethnicity or any other characteristic is a key commitment for us. We're happy to discuss flexible working arrangements, including part time, for any of our roles should this be a requirement for.
We provide retirement, investment and protection solutions to 3.

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