data engineer

Two Circles; Vancouver; On-site; CAD 120,000 - 130,000; Full time

Job summary

A leading Sports & Entertainment Marketing firm in Vancouver is seeking a Lead Data Engineer to design and maintain scalable data pipelines. The ideal candidate will have over 8 years of software engineering experience with a strong focus on AWS, Airflow, and data quality. This role involves collaborating with product teams and ensuring the reliability of data platforms. Strong programming skills in Python and C# are essential, along with the ability to support the maintenance and operations of data systems. Competitive salary offered.

Qualifications

• 8+ years of software engineering with a data focus.
• 5+ years of experience writing and debugging database queries.
• 5+ years with object-oriented languages, preferably Python and C#.

Responsibilities

• Design and implement data pipelines focusing on data quality.
• Partner with Product Management to deliver data strategy.
• Support ongoing maintenance and operations of the data platform.

Skills

AWS services

Airflow

Snowflake

MS SQL Server

Python

C# .NET

Docker

Job description

Lead Data Engineer

Employer: Two Circles

Location: Vancouver, BC (On site)

Salary: $120,000 to $130,000 per year

Employment Type: Full time

Start Date: As soon as possible

Vacancies: 1

We are Two Circles, a Sports & Entertainment Marketing business that grows audiences and revenues by understanding fans. We partner with clients such as the English Premier League, Red Bull, UEFA, VISA, NFL, Nike, and Amazon to influence fan behaviour across all channels.

Two Circles is looking for a Data Engineer to join our dynamic KORE Intelligence Platform team. In this role, you'll work on the Partnership Intelligence > Measurement Team, specializing in the ingestion, transformation, and storage of large‑scale social and broadcast data. You will design and maintain scalable, efficient data pipelines that support enterprise web applications, analytics, and business intelligence.

About The Role

We need a senior Data Engineer with expertise in AWS services, Airflow, Snowflake, MS SQL Server, and .NET. Strong experience building and managing large‑scale data pipelines and a passion for exploring new technologies are essential.

Key Responsibilities

• Work as part of a cross‑functional product team to deliver a high‑quality SaaS‑based data platform.
• Design and implement data pipelines focusing on data quality and reliability.
• Partner with Product Management and stakeholders to deliver our vision, roadmap, and data strategy, including innovative client solutions.
• Advocate for development best practices, including design reviews, test plans, test‑driven development, monitoring/alerting, code reviews, and documentation.
• Contribute to our DevOps culture and take ownership of designs through production operations.
• Support ongoing maintenance and operations of the data platform.

Requirements

Experience

• 8+ years of software engineering with a data focus in a fast‑paced, agile environment.
• 5+ years of experience writing, debugging, and refining database queries.
• 5+ years with object‑oriented languages (preferably Python and C# .NET).
• 5+ years building or maintaining cloud infrastructure and services (preferably AWS).
• 3+ years of experience automating repetitive tasks (e.g., setup, onboarding, support, data movement).

Technical Skills

• Orchestration and batch processing with Apache Airflow.
• Proficiency in Snowflake and MS SQL.
• Strong Python and C# skills; both are required.
• Experience with containerization such as Docker.
• Familiarity with monitoring tools (e.g., New Relic) for data pipeline performance.
• API development and building scalable systems.

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