At a Glance
- Tasks: Design and build scalable data platform solutions in a cloud environment.
- Company: Join Canada Life, a trusted company improving Canadians' well-being.
- Benefits: Competitive salary, health benefits, education reimbursement, and flexible time off.
- Other info: Dynamic team culture with opportunities for mentorship and community involvement.
- Why this job: Make a real impact while growing your career in a supportive environment.
- Qualifications: 5+ years in data systems, strong Python skills, and Azure expertise.
The predicted salary is between 63000 - 77000 £ per year.
Are you a Data Engineer professional with a focus on platform administration and support and strong leadership and communication skills looking for a challenging and rewarding opportunity? Canada Data Team is looking for a Data Platform Engineer to join our team.
The Data Platform Engineer is responsible for providing data platform and tool solutions to support business needs at Canada Life. Leveraging your cloud and Microsoft Azure technical subject matter expertise, you will have the exciting opportunity to design, adapt, and maintain data platform solutions within a cloud environment. You will navigate and reconcile considerations for immediate and future platform needs, encompassing but not limited to scalability, maintainability, performance, accuracy, reliability, security, compliance, cost, and robustness, even in situations where the requirements may be unclear or evolving. You’ll collaborate cross-functionally with Product Owners as well as developers, quality assurance, governance & support experts in Toronto and other offices. In this role, you will be part of an on-call rotation in order to service our customers.
What you will do:
- Design and build highly scalable data platform solutions within a cloud environment.
- Partner with our internal customers to understand their development pain points and craft platform solutions to address them.
- Support the effort to build and enhance DevOps services, including platform monitoring, platform, and deployment support for the respective pipelines for data delivery.
- Connectivity enablement for relevant models and their data sources.
- Deliver appropriate Resource Access Permissions for respective use cases.
- Provide technical mentorship to data platform engineers and interns on the team.
- Help shape the long-term strategy and grow the team.
What you will bring:
- A University or College education in Computer Science, Computer Engineering or a related field or equivalent combination of education and experience.
- 5+ years of experience building production data systems or platform components.
- Strong coding skills in Python.
- Strong understanding of engineering and infrastructure best practices, general software development principles with a machine learning software development life-cycle orientation.
- Strong experience on Azure Machine Learning and AWS SageMaker, Azure Data Factory, Databricks administration and GitLab.
- Experience managing the entire machine learning lifecycle.
- Desirable experience on Azure Cognitive Services and AWS Rekognition.
- Strong communication skills with an ability to motivate.
- Customer focus and strong relationship management skills.
- Ability to quickly adapt to changing priorities and working within ambiguous situations.
- Effective time management, prioritization, and decision-making skills.
The base salary for this position is between $80,700 - $95,700 annually. This represents base salary only and does not represent other variable compensation components of our total compensation (i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.
Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.
Grow with Canada Life. We’re united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country. We’re looking for people who live our values every day: we step up, we do the right thing, and we deliver – for our customers, communities and each other. Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you!
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.
Data Platform Engineer 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 Data Platform Engineer in London
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We think you need these skills to ace Data Platform Engineer in London
Some tips for your application 🫡
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
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.
