Junior Data Engineer

Ready for a challenge?

Born in the Prairies, now part of a worldwide network, Skip is a tech company with an entrepreneurial spirit and the drive to be the best. We're a people-first, collaborative company with a fun, dynamic and innovative environment. Our vision is to empower everyday convenience. Whether it’s a Friday-night feast, a post-gym poke bowl, grabbing some groceries or sunscreen, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

About this role

We are seeking a motivated and detail-oriented Data Governance Engineer to join our growing Data Platforms Governance team. In this role, you will be instrumental in implementing, maintaining, and monitoring our data governance policies and procedures within our Google Cloud Platform (GCP) environment. You will collaborate closely with platform engineers and data teams to ensure the quality, security, and compliance of our data assets, contributing to a data-driven culture across the organization. This is an excellent opportunity for someone with a foundational understanding of data concepts and a passion for ensuring data integrity and usability.

Location: Hybrid- 3 days a week from our Winnipeg or Toronto office & 2 days working from home

Reporting to: Senior Team Lead - Data Engineering

These are some of the key ingredients to the role:

• Implement and monitor data quality rules and checks using SQL and Python within our GCP environment, primarily leveraging BigQuery and Cloud Storage.
• Assist in managing data access controls and permissions under the guidance of established governance policies.
• Support the implementation and monitoring of data governance policies, including data lineage tracking, data security classifications, and metadata management.
• Contribute to the creation and maintenance of clear and concise documentation for data governance standards, processes, and platform usage.
• Develop and maintain Python scripts to automate data governance tasks and streamline platform operations.
• Collaborate effectively with platform engineers and data teams to identify, troubleshoot, and resolve data governance-related issues.
• Utilize Git for version control of code and configurations, ensuring organized and collaborative development.
• Actively engage in learning about data governance best practices, GCP data services, and the overall data platform architecture through mentorship and independent study.

What will you bring to the table?

• Foundational understanding of core data concepts, including data warehousing principles (like schema design), ETL/ELT processes, data modeling fundamentals, and the importance of data quality.
• Basic SQL skills with the ability to write, understand, and debug queries for data manipulation, transformation, and basic analysis.
• Basic proficiency in Python for scripting and automation of tasks.
• Familiarity with cloud fundamentals, specifically Google Cloud Platform (GCP) and its core data services such as BigQuery and Cloud Storage. A basic understanding of IAM principles within GCP is also important.
• Awareness of fundamental data governance concepts, including data quality, data lineage, data security, and metadata management.
• Demonstrated problem-solving and analytical skills with a keen attention to detail.
• Effective written and verbal communication skills, with the ability to document your work and collaborate with team members.
• Basic understanding of Git for version control and collaborative coding.
• A strong eagerness to learn and grow your expertise in data governance and the data platform domain.

Nice-to-Have Qualifications:

• Exposure to other GCP data services like Cloud Dataflow, Cloud Composer (Apache Airflow on GCP), Data Catalog, and Cloud Functions/Cloud Run.
• Familiarity with concepts or tools related to data quality management or data lineage tracking.
• Basic understanding of data governance frameworks (e.g., GDPR, CCPA) or data masking/anonymization techniques.
• Basic understanding of Infrastructure as Code (IaC) tools such as Terraform or Deployment Manager.
• Basic familiarity with data visualization tools (e.g., Looker, Tableau, Google Data Studio).
• Experience interacting with RESTful APIs to retrieve or send data.
• Familiarity with other programming languages such as Java or Scala.
• A foundational understanding of basic statistical concepts.

At Skip, this is on the menu:

SkipTheDishes is proud to be an Equal Opportunity employer. Boxes are for pizza, not people. So however you identify and whoever you love, you are free to be you at Skip.

We are committed to fostering a diverse and inclusive environment where all employees feel they truly belong and where everyone is included, seen, heard and respected.

In keeping with our values, all applicants will receive consideration for employment regardless of: gender identity or expression, sexual orientation, race, ancestry, national origin, religion, age, marital/domestic partner status, (dis)ability, neurodivergence, or any other characteristic protected by law. Should you require any accommodations throughout the hiring process, we encourage you to reach out to your talent acquisition specialist.

Note: All employees will be asked to sign a Consent for Disclosure of Personal Information in order to complete a background check. Job offers will be conditional upon results that the Company determines to be satisfactory.

Are you ready to take your seat? Apply now!