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Senior Data Engineer - Jobs in Montréal

Job LocationMontréal
EducationNot Mentioned
SalaryNot Mentioned
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeFull Time

Job Description

Our MissionLocal Logic is digitizing the built world to make it universally understandable and actionable for consumers, investors, developers, and governments with the ambition of helping build cities that are more sustainable and equitable for the people that live in them.To achieve that dream, we’ve built a digital twin of cities, quantifying the built world using data and AI to interpret the $217T real estate market throughout the US and Canada. We started our journey at McGill University’s urban planning department, where we came to see that cities were being developed in all kinds of unsustainable ways. Why were sprawling suburbs still being built, when doing so would increase pollution and inequality Why were new business parks being built far from mass transit, when doing so would make traffic congestion skyrocket Why was social housing being built in places that would exacerbate social problems rather than improve them It became clear to us why: cities are incredibly difficult to understand. But we realized that with recent advances in data science, all the complexity of cities could be made simple enough for anyone to understand. And that understanding would be essential to making the sustainable, equitable, and prosperous cities that we so desperately need.Today, Local Logic delivers sophisticated location insights through webtools, APIs, one-click reports and a data analytics platform.Our insights are powered by billions of data pointswe’ve generated that describe all aspects of cities -- from the distance to the nearest bus stop,the quietness on a street, to the most recent trends in the housing market and moreYour MissionAs a Senior Data Engineer reporting to the Head of Engineering, you’ll be responsible for technical leadership while being a hands-on coder for Local Logic’s next generation data platform used to create our location-based insightsamp; predictions from large and diverse sources of data. Our data platform delivers value to our customers through public APIs, customer-facing SDKs, and also our team of Data Scientists. The ideal candidate will have a strong background in data engineering and cloud-based technologies.You believe in our mission and want to help us achieve it. You bring your own unique perspective to the team, to challenge the way we do things for the better. You’re able to speak up when you disagree, ask questions when you don’t understand, and take ownership by default. Above all, you thrive in an environment where you clearly see the results of your work.As a Senior Data Engineer, your responsibilities will include:

  • Provide technical leadership for a small team of data engineers, data scientists and urban data researchers responsible for designing, building, and maintaining our data infrastructure.
  • Directly contribute to and oversee the implementation of ETL workflows, data pipelines, and data warehouses.
  • Work closely with other departments, including data scientists, machine learning specialists and engineering teams to understand their data needs and ensure that the data infrastructure meets them.
  • Collaborate directly with the Technical Product Manager embedded in the Agile team to createamp; refine work tasks for the team.
  • Help define and implement best practices for data management, quality, and governance, to ensure data quality, accuracy, and consistency for the team.
  • Provide technical guidance and mentorship to data engineers.
  • Keep up-to-date with emerging trends and technologies in the data engineering field.
  • Participate in the technical hiring process of future team members.
Key Requirements:
  • At least 7 years of experience in data engineering or closely related fields. Experience as an Architect, Staff, Principal or Lead role is an asset.
  • Experience designing, building, and maintaining data pipelines and maintaining a large-scale data ecosystem.
  • Experience with cloud Infrastructure (we use AWS and Databricks).
  • Experience working with large-scale geospatial data is an asset.
  • This position is for hybrid work in Montreal.
Why should you work hereAt Local Logic, you have an amazing opportunity to be an early team member of an expanding Series B backed startup. We are focused on understanding the world and its cities to predict the future and make the real estate market more transparent. We are a people-first company that strives to create the best experience for our employees by creating an inclusive, collaborative, challenging environment to learn and problem-solve on a daily basis. You will have access to benefits such as:
  • Comprehensive health insurance on us
  • A health platform (telemedicine, Employee and Family Assistance Program (EFAP), mental health and stress management assistance) (*for Canadians only)
  • Stock options
  • Unlimited vacation
  • Intentional Fridays
  • Health and benefit allowance per year
  • Initial WFH allowance
  • Bike sharing membership on us
  • A cool office in the heart of Montreal
To support our company #39;s value of being growth-oriented, employees are given a $1500 annual professional development credit.Our commitment to diversityamp; inclusionWe’re aiming to build a diverse team and inclusive company culture. We are an equal opportunity employer (EOE) and do not discriminate based on race, colour, ethnicity, ancestry, national origin, religion, sex, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected statusPowered by JazzHR

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