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Data & AI · Learning guide

Airflow

Asked for in 9 job posts at 5 companies across Canada.

No job posts in Columbus yet, so we're showing all of Canada.

Demand over time

Job posts asking for Airflow, by week, last 16 weeks

2

in the last 4 weeks · 4 the 4 before

Job posts asking for this skill, by week
Week ofJob posts
Jul 200
Jul 270
Aug 31
Aug 101
Aug 170
Aug 240
Aug 310
Sep 70
Sep 141
Sep 210
Sep 283
Oct 50
Oct 120
Oct 191
Oct 260
Nov 21

Who's hiring

Companies with posts that ask for it

  • FFaire3
  • CClutch2
  • WWealthsimple2
  • CCohere1
  • LLoopio1

Newest job posts

Learn next

Asked for in the same posts

Impact projects

Real problems in Canada, from public data. Build something that helps, and prove Airflow while you do it.

  • AI-suggestedUN SDG 11

    Average asking rent for a 2-bedroom apartment in Calgary shifted from $1700 in 2022 Q3 to $1890 in 2026 Q2, affecting housing affordability for tenants.

    Average asking rent for a 2-bedroom apartment, Calgary (quarterly, dollars per month)
    Average asking rent for a 2-bedroom apartment, Calgary (quarterly, dollars per month)
    PeriodValue
    2022 Q3$1,700
    2022 Q4$1,760
    2023 Q1$1,790
    2023 Q2$1,840
    2023 Q3$2,010
    2023 Q4$2,130
    2024 Q1$2,090
    2024 Q2$2,150
    2024 Q3$2,050
    2024 Q4$1,950
    2025 Q1$1,920
    2025 Q2$2,020
    2025 Q3$2,010
    2025 Q4$1,930
    2026 Q1$1,900
    2026 Q2$1,890
    What to build
    Build an Apache Airflow data pipeline that automates the daily ingestion of Calgary rental market data for housing advocates.
    How it practises Airflow
    Practice writing Directed Acyclic Graphs, scheduling tasks, and managing dependencies between data extraction steps in Airflow.
    Proof to submit
    Submit a public repository containing the DAG definitions and execution screenshots.
    Data: Statistics Canada table 46-10-0092-01
  • AI-suggestedUN SDG 13

    Greenhouse gas emissions from industries and households in Alberta shifted from 265130 kilotonnes in 2009 to 271415 kilotonnes in 2023, impacting environmental regulators and local communities.

    Greenhouse gas emissions from industries and households, Alberta (yearly, kilotonnes of CO2 equivalent)
    Greenhouse gas emissions from industries and households, Alberta (yearly, kilotonnes of CO2 equivalent)
    PeriodValue
    2009265,130 kilotonnes
    2010273,996 kilotonnes
    2011285,154 kilotonnes
    2012290,700 kilotonnes
    2013300,770 kilotonnes
    2014303,757 kilotonnes
    2015295,870 kilotonnes
    2016278,406 kilotonnes
    2017291,330 kilotonnes
    2018291,567 kilotonnes
    2019292,346 kilotonnes
    2020271,006 kilotonnes
    2021275,547 kilotonnes
    2022273,636 kilotonnes
    2023271,415 kilotonnes
    What to build
    Build an Apache Airflow pipeline to schedule and monitor the automated ingestion of environmental datasets for sustainability researchers.
    How it practises Airflow
    Practice orchestrating data workflows, setting up retry policies, and handling task failures within Airflow operators.
    Proof to submit
    Submit a public GitHub repository showing the DAG code and a recorded workflow run.
    Data: Statistics Canada table 38-10-0097-01

Best resources

Free, and hand-picked. Start with the first one.

  1. a01
    Guide

    Airflow 101: Building Your First Workflow

    airflow.apache.org

  2. a02
    Guide

    Tutorial — Airflow Documentation

    airflow.apache.org

  3. a03
    Guide

    Airflow basics — Airflow tutorial documentation

    airflow-tutorial.readthedocs.io

  4. a04
    Guide

    Tutorial — Airflow Documentation

    andrewmchen-incubator-airflow.readthedocs.io

  5. a05
    Guide

    Quick Start — Airflow Documentation

    airflow-apache.readthedocs.io

  6. a06
    Official docs

    Airflow docs

    airflow.apache.org

  7. y07
    Videos

    Free Airflow courses on YouTube

    youtube.com

Projects to prove it AI-suggested

  • Daily Financial Market Data Aggregation Pipeline

    An automated workflow that orchestrates the daily ingestion, transformation, and validation of multi-source stock exchange data feeds. It provides quantitative finance analysts with clean, ready-to-use research tables every morning.

  • Enterprise Customer 360 Aggregation Workflow

    A scheduled orchestration DAG that combines fragmented customer support tickets, purchase records, and marketing clicks into unified data marts. It enables business intelligence teams to maintain authoritative customer profiles.

  • Automated Compliance Retention and Data Masking Pipeline

    A data governance workflow that identifies personally identifiable information in raw cloud stores and applies anonymization transforms. It helps corporate privacy officers comply with data protection regulations across data lakes.