Skip to main content

This job has expired

You will need to login before you can apply for a job.

Data Engineer

Employer
Canada Life Limited
Location
Potters Bar, United Kingdom
Salary
Competitive
Closing date
May 5, 2024

View more

Job Function
Accounting/Audit/Tax
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
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.

Part of our parent company Great-West Lifeco, Canada Life UK has operated in the United Kingdom since 1903. We have hundreds of respected and supported employees committed to doing the right thing for our customers and colleagues.

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.

Job Purpose
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.

Duties/Responsibilities
  • 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.
  • To translate business & analytics requirements into technical solutions, actively contributing to company standards
Knowledge, Skills and Experience
  • 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
  • Excellent problem-solving skills, and ability to deliver effective solutions;
  • Excellent team player, collaborative, and supportive
  • Ability to multitask while maintaining a high level of attention to detail. A solution driven, self-starter with commitment and follow through
  • Strong stakeholder management and communications skills, both written and verbal
  • 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.
Qualifications
  • Knowledge of insurance or financial services industry applications and functionality
  • Experience using JIRA and Confluence
  • Degree level education or equivalent
Benefits of working at Canada Life

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.

How we work at Canada Life

Our culture is unique and incredibly important to us. We care about doing the right thing for our people, customers and community and helping others to build better futures. Our blueprint behaviours shape and influence how we work, and are central to the relationships we have with others. Every day we are encouraged to be more curious, own the outcome, face into things together and find a way forward.

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 are proud of the progress we're making in DEI, and we continue for it to be a significant focus.

"At Canada Life we believe in the power of great people from different backgrounds, experiences and perspectives coming together to build better futures. Emerging talent is crucial to our growth and creating an environment that continues to inspire us all." Nick Harding, Chief People Officer, Canada Life UK

We appreciate that everyone has different work and life responsibilities. We're happy to discuss flexible working arrangements, including part time, for any of our roles should this be a requirement for.

Sign in to create job alerts

Sign in or create an account to start creating job alerts and receive personalised job recommendations straight to your inbox.

Create alert