Data Engineer

Movable Ink

Toronto

On-site

CAD 174,000 - 237,000

Full time

2 days ago
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Benefits offered by this job

Medical benefits
Financial benefits

Job summary

Movable Ink is seeking a Data Engineer to shape our Enterprise Data Warehouse and empower teams with data-driven decisions. You will design and optimize ELT pipelines, collaborate with data platform, product engineering, and analytics teams, and help ensure reliable, scalable data products across the organization.

You will work with Python/Java/SQL, modern ELT tools such as dbt and Airflow, and IaC practices, while interfacing with SRE to keep services running smoothly.

Qualifications

  • 3+ years experience as a Data Engineer.
  • Experience with columnar/OLAP databases at petabyte scale.
  • Proven track record of operationalizing data pipelines, including monitoring, alerting, SLA dashboards, and runbooks.
  • Strong experience building tooling and automation for database management and maintenance.
  • Expertise with modern ELT tools (dbt, Airbyte, Flink) and orchestration platforms (Airflow, Dagster).
  • Deep, technical understanding of Kimball and medallion architectures.
  • Experience with Python, Java, and SQL.
  • Experience with Agile software development and version control (Git).
  • Experience with CI/CD and Infrastructure-as-Code (Terraform, CloudFormation).

Responsibilities

  • Design, build, test, deploy, and maintain end-to-end ETL pipelines across multiple sources.
  • Maintain and extend Data Warehouse infrastructure to improve performance and reduce incidents.
  • Collaborate with data platform, product engineering, and analytics teams to deliver data products.
  • Coordinate with SRE team to ensure stable service delivery.
  • Aggregate and curate event data with internal systems to enable key business decisions.

Skills

Python
Java
SQL
Git
CI/CD
Data Modeling
SRE collaboration
Agile

Tools

dbt
Airbyte
Flink
Airflow
Dagster
Terraform
CloudFormation
Tableau

Job description

Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan.


As a Data Engineer, you will help drive the direction of our Enterprise Data Warehouse, work hands-on with teammates across the organization to get access to relevant data, and empower teams to make data driven decisions about the direction of our business. Movable Ink collects campaign data resulting from Billions of requests served each day. Come and help us manage and make sense of the massive amount of data we’re ingesting!


Responsibilities:


  • Design, build, test, deploy, and maintain end-to-end multi-source ELT pipelines while optimizing for costs and meeting data service level agreements (SLAs)

  • Maintain and extend our Data Warehouse infrastructure to minimize manual work, increase performance, and decrease the frequency and severity of incidents

  • Collaborate with the data platform, product engineering, and analytics teams to understand data needs and deliver reliable data products

  • Work with the rest of the (Site Reliability Engineering) SRE team to ensure smooth, continued delivery of our service our business partners

  • Aggregate, combine, and curate event data with our internal business systems to enable key business decisions


Qualifications:


  • 3+ years experience as a Data Engineer

  • Hands-on experience with columnar/OLAP (Online Analytical Processing) databases at petabyte scale

  • Proven track record of operationalizing data pipelines, including building monitoring, alerting, SLA dashboards, and runbooks for production systems

  • Strong experience building tooling and automation for database management and maintenance

  • Expertise with modern ELT Tools (e.g. dbt, Airbyte, Flink) and orchestration platforms (e.g. Airflow, Dagster)

  • Deep, technical understanding of Kimball and medallion architectures

  • Experience with one or more high level programming languages (e.g. Python, Java, and SQL)

  • Experience with Agile software development

  • Experience working with version control tools (e.g. git)

  • Experience working within the Continuous Integration / Continuous Delivery (CI/CD) paradigm

  • Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar


How to Stand Out:


  • Experience with implementing APIs, Reverse ETL, and data contracts

  • Significant experience with AWS & AWS Managed Services (e.g Redshift, Aurora, Airflow, Flink)

  • Familiarity with data visualization tools (e.g. Tableau)

  • Experience with managing data lakes with open-source file formats (e.g. Iceberg)


The base pay range for this position is $125,000-$170,000/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.


Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.


We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.

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