Senior Analytics Engineer

WHO WE ARE

Datatonic Americas is a full data stack consultancy. We aim to become the leading experts in Modern Data Stack consulting on the market.

To achieve our goal, we have the highest development standards & best practices, we share knowledge through learning sessions and our internal knowledge base, we participate in data communities and actively support the continuous growth of our team (conferences, training, certification, coaching, etc.).

Our clients range from the hottest scale-ups in North America to renowned public tech companies.

THE ROLE

Analytic Engineers at Datatonic work on various types of engagements involving the Modern Data Stack. They bring their expertise on our technologies of choice: dbt, Looker, Snowflake, BigQuery, Google Cloud, Sigma, Fivetran, Mixpanel and Census. They lead engagements with our clients, working hand-in-hand with the Data Product Owner while supporting the team and contributing to the code when necessary.

QUALIFICATIONS

• 4-6 years of experience in a data role (Data Engineer, Data Analyst, Analytics Engineer, etc.)
• 2+ years hands-on experience with dbt, a modern Data Warehouse like Snowflake or BigQuery and Kimball modeling
• Natural ability to manage multiple initiatives and clients
• Proficiency in writing analytical SQL and understanding of the difference between SQL that works, and performant SQL
• Experience with managing relationships (partners, clients, prospects, etc.)
• Experience translating business requirements into technical solutions
• Ability to communicate complex ideas in a simple way to a wide range of audiences
• Strong ability to manage multiple concurrent engagements
• Complete alignment with our culture of transparency, empathy, accountability and performance
• English and French speaker (business proficiency)

Even better with the following experience:

• dbt Developer certification
• Google Cloud Professional Data Engineer certification
• Snowflake's Snowpro Certification
• Experience with Scrum Methodology

What success looks like as a Senior Analytics Engineer:

• Build outstanding rapport and reputation with clients
• Supervise the activities of others and focus on higher level concepts
• Sought out as mentor and known as the "teammate of record" in your team
• Regularly scope and stage work into well-defined milestones
• Active contribution to our internal Knowledge Base, Technical Tutorials and internal Analytics.
• Lead adoption of new technologies and methodologies when necessary

Perks of working with us:

• 20 days paid vacation + 5 days of paid leave when the company closes (holiday season)
• 5 Wellness days (sickness, personal time, etc)
• Group Retirement Savings Plan with matching contribution
• Group insurance (extended health & dental) - individual premium paid 100%
• 100% employer-paid Tele-medicine
• Home office budget - We are 100% remote
• CAD $70/month (paid quarterly) for internet/phone expenses
• CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1
• Company-supplied MacBook Pro
• CAD $400/year for books (including a reading device if you need one)
• Opportunities for paid certifications
• Full access to Udemy Business for professional and personal learning
• Regular company off-sites and meetups

Datatonic is an equal-opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, color, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. Our current team is made up of folks from very different backgrounds, including a former librarian, oceanographer and comic bookstore owner! If you are on the fence about whether you meet our requirements, we encourage you to apply anyway. Please reach out to us directly at if you need assistance or accommodation due to disability.

Datatonic is a UK based company with an Americas division based in Canada. The Canadian team is remote-only, mostly distributed across North and South America. This role is open to folks based anywhere in Canada.

Salary: CAD 115,000$ - CAD 125,000$