What you’ll get: The salary band for this position ranges from $90,000 to $110,000. Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity. Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.Read the full posting
Design, develop and optimize data pipelines and analytical datasets in Snowflake and Qlik
Own end-to-end delivery of data solutions, from requirements through support
Define data modeling, performance and cost best practices for Snowflake
Automate data ingestion and transformation across multiple source systems
Monitor and resolve data pipeline and reporting issues
Design, develop, and optimize scalable data pipelines and analytical datasets using Snowflake and Qlik.
Own the end‑to‑end delivery of data solutions, from requirements through implementation and support.
Define and apply best practices for data modeling, performance optimization, and cost‑efficient architecture within Snowflake.
Automate data ingestion and transformation workflows while integrating data from multiple source systems.
Monitor, troubleshoot, and resolve data pipeline and reporting issues to ensure reliability, performance, and availability.
Open 3 monthsWe first saw this posting 115 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 115
Up longer than most. Similar jobs usually come down between day 7 and day 51.
Well past Aviva’s usual: its jobs come down by about day 51.
From 1,666 similar postings that came down, and 15 of Aviva’s. Coming down is not always a hire.
14 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Strong analytic and problem-solving skills with the ability to work through the technical implementation details while appreciating the big picture. - Proficiency in Python and SQL, with experience working with complex data models. - Hands-on experience with cloud data warehouses (Snowflake preferred).
Aviva Canada is looking for a motivated and technically strong individual to join the Claims Data and Insights team within Finance. This role is ideal for someone who thrives as a hands‑on individual contributor through strong delivery, operational understanding, stakeholder management, and end-to-end ownership. You will play a key role in evolving our Claims Data ecosystem by delivering high‑impact data solutions, supporting engineering best practices and the modernization of our data platform. You will work closely with the team supporting our Qlik environment and contribute significantly to our migration to Snowflake, helping to establish a scalable, well‑governed data foundation that enables advanced analytics and supports future growth across Claims and Finance. If you are excited about building modern data solutions and driving meaningful business impact, we would love to hear from you.
What you’ll do: - Design, develop, and optimize scalable data pipelines and analytical datasets using Snowflake and Qlik. - Own the end‑to‑end delivery of data solutions, from requirements through implementation and support.
- Own the end‑to‑end delivery of data solutions, from requirements through implementation and support. - Define and apply best practices for data modeling, performance optimization, and cost‑efficient architecture within Snowflake. - Automate data ingestion and transformation workflows while integrating data from multiple source systems.
- Proficiency in Python and SQL, with experience working with complex data models. - Hands-on experience with cloud data warehouses (Snowflake preferred). - Experience building, maintaining, and debugging ETL/ELT data pipelines.
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New Analytics Engineer postings at the employers we follow are down 14% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Together, we are Aviva. Our values — Care, Commitment, Community, and Confidence — guide how we show up for each other and for our customers. Individually, they’re words. Together, they define who we are.
At Aviva Canada, we put people first, our employees, our customers, and our communities. We’re proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We’re not just about insurance; we’re about making a real difference by protecting what matters most.
The OpportunityAviva Canada is looking for a motivated and technically strong individual to join the Claims Data and Insights team within Finance. This role is ideal for someone who thrives as a hands‑on individual contributor through strong delivery, operational understanding, stakeholder management, and end-to-end ownership.
You will play a key role in evolving our Claims Data ecosystem by delivering high‑impact data solutions, supporting engineering best practices and the modernization of our data platform. You will work closely with the team supporting our Qlik environment and contribute significantly to our migration to Snowflake, helping to establish a scalable, well‑governed data foundation that enables advanced analytics and supports future growth across Claims and Finance.
If you are excited about building modern data solutions and driving meaningful business impact, we would love to hear from you.
What you’ll do:Design, develop, and optimize scalable data pipelines and analytical datasets using Snowflake and Qlik.
Own the end‑to‑end delivery of data solutions, from requirements through implementation and support.
Define and apply best practices for data modeling, performance optimization, and cost‑efficient architecture within Snowflake.
Automate data ingestion and transformation workflows while integrating data from multiple source systems.
Monitor, troubleshoot, and resolve data pipeline and reporting issues to ensure reliability, performance, and availability.
Collaborate with claims operations, analytics team, and actuarial teams by developing a strong understanding of claims workflows and owning stakeholder interactions to translate business needs into robust data solutions.
Minimum 3 years of experience in data engineering, analytics, or a related technical role.
Strong communication skills, with the ability to clearly explain complex technical concepts to non-technical audience.
A collaborative approach, balanced with the ability to work independently and take ownership of deliverables.
A strong sense of accountability and ownership, with a consistent focus on delivering results.
Strong analytic and problem-solving skills with the ability to work through the technical implementation details while appreciating the big picture.
Proficiency in Python and SQL, with experience working with complex data models.
Hands-on experience with cloud data warehouses (Snowflake preferred).
Experience building, maintaining, and debugging ETL/ELT data pipelines.
Familiarity with P&C insurance and claims data.
The salary band for this position ranges from $90,000 to $110,000. Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity.
Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
Hybrid flexible work model.
Outstanding career development opportunities.
We’ll support your professional development education.
Competitive vacation package with the option to purchase 5 extra days off per year.
Employee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.
Corporate wellness programs to support our employees’ physical and mental health.
This job advertisement is for an existing vacancy which has been posted both internally & externally.
Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position.
Aviva Canada welcomes applications from all qualified individuals and has a process in place to provide accommodations for persons with disabilities at all stages of the hiring process and during employment. If you require an accommodation during the interview or hiring process, please contact your Aviva Talent Acquisition Partner so that an appropriate accommodation can be arranged.
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What you’ll get: The salary band for this position ranges from $90,000 to $110,000. Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity. Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
Markham
- Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities. - Hybrid flexible work model. - Outstanding career development opportunities.
#LI-MH1 #LI-Hybrid
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