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C

Junior Data Engineer - Custom Solutions

Citylitics Inc.

Toronto, Ontario, Canada (Hybrid) ・ フルタイム

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経験
2+ yrs
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1時間前
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Eligibility
Candidates should have around 2 or more years of relevant data engineering experience and be able to work in a hybrid arrangement in Toronto, with 3+ days per week in the office. The role is open for an active vacancy and the employer is committed to equal opportunity and inclusive hiring.
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Where you'll work

仕事内容

About Citylitics Inc.

Citylitics builds predictive intelligence that shows where, how, and why infrastructure spending will happen across North America. Its focus spans critical systems such as water, transportation, transit, roads and highways, broadband, and power—an enormous market shaped by long-term investment trends.

The company converts millions of documents from more than 40,000 cities, utilities, and public agencies into real-time market indicators and high-value sales intelligence. Infrastructure vendors, engineering consultancies, and construction firms use the platform to spot major opportunities earlier, prepare in advance, build relationships, and help shape project direction before formal procurement begins.

Citylitics uses a mix of AI agents, specialized models, a proprietary infrastructure signals graph, and daily human quality checks to deliver dependable, detailed intelligence. Its platform connects with CRMs, ERPs, and data lakes so teams can access actionable insights directly in their sales workflows.

The company’s mission is to improve how infrastructure investments are planned and executed so communities can benefit from stronger, more resilient systems sooner. Citylitics values a results-focused mindset, high standards, and strong teamwork in a collaborative environment.

Role Overview

Citylitics is hiring a Junior Data Engineer for its Custom Solutions team. This person will help build and maintain production-grade data products that support customer-facing use cases. The role calls for a strong foundation in data engineering practices, along with hands-on experience in orchestration, data modeling, and data warehouses.

This position is based in Toronto and follows a hybrid schedule with at least 3 days per week in the office.

What You Will Do

  • Design, develop, deploy, and maintain reliable, high-performance data pipelines using Airflow and BigQuery, covering testing, release, monitoring, and ongoing support.
  • Work with analysts and business partners to define data needs, shape BigQuery data models, and improve query and dashboard performance.
  • Act as the main data engineering contact for Custom Solutions, working with Data, Product, and Customer Success teams to move custom client requests from proof of concept into production.
  • Translate client needs into technical solutions and keep stakeholders informed about progress and technical details throughout delivery.
  • Help improve data infrastructure and engineering workflows by introducing useful tools, stronger practices, and smarter ways of working.
  • Use AI tools to speed up development, debugging, design, and documentation, and help identify new ways to build more efficiently.
  • Take on other related duties as needed.

Requirements

  • Strong command of Python and SQL.
  • At least 2 years of experience creating and maintaining data pipelines with Airflow or Cloud Composer.
  • Solid knowledge of data warehousing concepts and practical experience with BigQuery.
  • Good understanding of data engineering fundamentals, including ETL/ELT, data modeling, and idempotent pipeline design.
  • Experience working with Git and cloud environments, preferably Google Cloud Platform.
  • Bonus experience building and deploying interactive dashboards or data applications, such as Dash on Cloud Run.
  • Strong troubleshooting ability and a proactive approach to identifying and fixing issues.
  • Clear communication and collaboration skills for working with analysts and other stakeholders.
  • Comfort using AI tools such as Claude in everyday engineering work.

Benefits

  • Contribute to meaningful change in the infrastructure sector, helping address a major societal challenge.
  • Work on a differentiated, data-driven platform with strong market relevance.
  • Gain experience at the intersection of infrastructure, scale-up growth, and advanced data science.
  • Move quickly in an environment with little bureaucracy and faster learning opportunities.
  • Use generative AI tools and broad data access to improve productivity and encourage experimentation.
  • Receive support for growth through coaching, skills development, mentorship, and internal promotion opportunities.
  • Be part of a team culture that values hard work, mutual support, and celebrating progress together.

Additional Information

This opening is for an active, currently available position. Citylitics is an equal opportunity employer and is committed to fostering a safe, inclusive workplace where everyone can grow.

Work Arrangement

This is a hybrid role in Toronto, Ontario, Canada, with 3+ days required in the office each week.

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