Senior Data Engineer/Ingénieur(e) de Données Senior

Our Mission

Local 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 who 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.

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 points we’ve generated that describe all aspects of cities.

Your Mission

As Local Logic’s Senior Data Engineer, you’ll be responsible for key contributions to Local Logic’s next generation data platform used to create our location-based insights & predictions from large and diverse sources of data.

As a Senior Data Engineer in the Data team, your responsibilities will include:

1. Provide technical leadership for a small team of data engineers and data scientists responsible for designing, building, and maintaining our data infrastructure.
2. Directly contribute to and oversee the implementation of ETL workflows, data pipelines, and data warehouses.
3. Translating proof-of-concepts into scalable, production-ready code.
4. Work closely with data scientists, machine learning specialists and software developers to understand their data needs and ensure that the data infrastructure meets them.
5. Collaborate directly with the Technical Product Manager embedded in the Data pod to create & refine work tasks for the team.
6. Help define and implement best practices for data management, quality, and governance, to ensure data quality, accuracy, and consistency for the team.
7. Provide technical guidance and mentorship to data engineers.
8. Participate in the technical hiring process of future team members.

Key Requirements:

1. At least 5 years of experience in data engineering or closely related fields. Experience as an Architect, Staff, Principal or Lead role is an asset.
2. Experience designing, building, and maintaining data pipelines and maintaining a large-scale data ecosystem.
3. Experience with cloud infrastructure and data orchestration tools (we use AWS, Databricks, Kubernetes and Dagster).
4. Experience working with large-scale geospatial data is an asset.
5. This position is for hybrid work in Montreal, with an expectation of 2-3 days per week in office.

Why Should You Work Here?

At Local Logic, you have an amazing opportunity to be an early team member of a 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:

1. Comprehensive health insurance on us
2. A health platform (telemedicine, Employee and Family Assistance Program (EFAP), mental health and stress management assistance) (*for Canadians only)
3. Stock options
4. Unlimited vacation
5. Intentional Fridays
6. Health and benefit allowance per year
7. Initial WFH allowance
8. Bike sharing membership on us
9. A cool office in the heart of Montreal

Your professional development is our priority. With a 1500 CAD annual professional development credit you’re encouraged to keep learning, explore new skills, and advance in your career.

Our Commitment to Diversity & Inclusion

We’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, color, ethnicity, ancestry, national origin, religion, sex, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.