At a Glance
- Tasks: Build and support innovative data products to drive business insights.
- Company: Join Canada Life, a trusted partner improving the well-being of millions.
- Benefits: Competitive salary, health benefits, education reimbursement, and flexible work options.
- Other info: Dynamic workplace with strong community support and career growth opportunities.
- Why this job: Make a real impact with cutting-edge technology in a collaborative environment.
- Qualifications: 5+ years in data engineering with expertise in SQL, Python, and cloud platforms.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for a Senior Data Engineer.
Technology redefines the way we work and deliver to meet business needs and elevate the customer experience. You’ll be part of an organization that is embracing modern technology, innovation, and agile ways of working.
Our Canada Technology team is a strategic partner in our business – with an ambition to be a forward-thinking, agile technology organization delivering secure, resilient, and leading solutions that support Canada Life and the well-being of millions of Canadians.
The role of the Senior Data Engineer is part of the Enterprise Data Enablement Team at Canada Life, and is responsible for the engineering, creation, and support of data services and products that increase velocity and quality of data to drive business insights and analytics across the organization.
What you will do:
- Build and support data products for Canadian use: design, curate, and publish self-service connected datasets that increase re-use and quality of the data available in support of business data and analytic initiatives.
- Design and develop data models and patterns for re-usability in collaboration with Data Governance and Information Architecture teams.
- Optimize data engineering and preparation activities through automation and leveraging of modern tools and techniques.
- Collaborate on a daily basis with the core data team and business while assisting with mentoring other engineers on the team.
- Collaborate with business teams to understand data needs, provide recommendation on solution options, and support business initiatives when required.
- Inventory critical data elements including lineage, classification, and usage.
- Create and maintain a strong collaboration with different groups inside the organization.
What you will bring:
- Mathematics, Computer Science and/or Data Analytics degree.
- 5+ years of applied data engineering experience (Data & Analytics education an asset).
- Expertise and knowledge of SQL, Python, Azure, Databricks, Synapse, ADF and PowerBI.
- Strong understanding of data modeling and ability to apply different techniques within a cloud platform.
- Excellent communication, presentation, and strong organization skills.
- Excitement to share learnings with others across the company, including senior leadership and community of practice participation.
- Agile, practical, customer service-oriented mindset.
- Generally curious and excited to learn new things.
- Reliability Status Security Clearance – this can only be completed with candidates who receive an offer of employment.
The cost of submitting these checks will be covered by Canada Life.
What we offer:
- Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to $2,000 annually towards education reimbursement.
- Health & Wellness: Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being.
- Time Off: In addition to regular vacation and personal days, we support community involvement with a volunteer day.
- Financial Security: Company-matching pension plan, share ownership program and additional investment options.
- Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!
- Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.
We’re committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.
Canada Life would like to thank all applicants, however only those who qualify for an interview will be contacted.
Senior Engineering Specialist in London employer: Canada Life
Canada Life UK is an exceptional employer that prioritises the well-being and growth of its employees, offering a modern and agile work environment in vibrant locations like Bristol, London, and Watford. With a strong focus on building better futures, the company fosters a welcoming culture and provides ample opportunities for professional development, making it an ideal place for those seeking meaningful and rewarding careers.
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We think this is how you could land Senior Engineering Specialist in London
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We think you need these skills to ace Senior Engineering Specialist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
