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Added 1 min ago
Plumbing Manager
Right Time Group of Companies
Nanaimo, BC
The Regional Plumbing Manager will oversee all operations of the plumbing department, including sales, service, inventory management, and staff supervision for South Western Ontario. This…
Added 15 mins ago
Senior Data Product Engineer
Match Group
Vancouver, BC
Full-time
…data engineer with the product-focused mindset of a product manager - ensuring data is effectively leveraged to build and improve data products for all brands and business units in Match…
Added 15 mins ago
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Full-time
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Added 15 mins ago
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$110,000 to $120,000 CAD / year
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Added 29 mins ago
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Added 30 mins ago
Enterprise Sales Manager / Gestionnaire de vente entreprise
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Added 45 mins ago
Sales Team Lead
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Other
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Client Excellence Specialist
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Added 1 hour ago
Operations Manager (Heavy Duty Manufacturing) - Guelph, Ontario
The Headhunters Recruitment
Guelph, ON
Full-time
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Match Group

Senior Data Product Engineer

Vancouver, BC, Canada

Pay: $135,000 - $143,000 a year
Job type: Full-time
Experience: 5+ years of professional/industry experience
Posting language: English
Posted: Sep 21, 2026

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Original job description

Know where you belong!

Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.

When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week.

We're looking for a Sr. Data Product Engineer to join our new Match Group Core Data team. This new position is a hybrid role combining the technical expertise of a data engineer with the product-focused mindset of a product manager - ensuring data is effectively leveraged to build and improve data products for all brands and business units in Match Group.

The Core Data team is a service organization that delivers data and reporting solutions across the entire Match Group enterprise, supporting Marketing, Product, Finance, Accounting, Strategy, and Analytics teams for every brand (Tinder, Hinge, Match, OkCupid, PlentyOfFish, BLK, Chispa, and more).

\nHow you'll make an impact:

Work with engineering teams to ensure data flows accurately from creation to presentation layers
Advocate for the Core Data team by championing best practices around scale, performance, and privacy
Improve the data technology stack through containerization, data modeling, ETL pipeline development, and building scalable/reliable solutions
Translate stakeholder needs into action items and deliverables
Create high-quality, business-ready data solutions suitable for non-engineers
Proactively brainstorm new metrics and data views for business partners
Maintain the data library - core metric definitions, sample data, access tips
Train brand data analysts to support data needs at their dating brand
Communicate regularly with key customers; maintain accurate release notes for platform changes
Represent internal customers - advocate for changes, resourcing, re-architecture, or blockers
Support existing on-prem infrastructure and help expand into the cloud (AWS/Databricks)

We could be a match if you have:

5+ years of professional/industry experience
Expertise in SQL, data modeling, lakehouse architecture, and Python
Experience with Redshift, Airflow, AWS QuickSight, Databricks, Spark, and relational databases (e.g., SQL Server)
Ability to drive initiatives and articulate their value to engineering and stakeholders
Experience delivering data products from conception to delivery
Strong written and verbal communication skills
Experience facilitating workshops across disparate groups
Passion for designing elegant data solutions and platforms

$135,000 - $143,000 a year

The salary range for this position is $135,000-$143,000.Factors such as the scope and responsibilities of the position, the candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence the base pay offered. This salary range is reflective of a position based in Vancouver, CA. This salary will be subject to a geographic adjustment (according to a specific city and state) if an authorization is granted to work outside of the location listed in this posting.

Why Match Group?

Our mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer:

Generous vacation, flex days, professional development days
RRSP matching, and employee stock purchase plan
Professional development budget and unlimited access to Udemy from day one
Match Group mentorship program
Parental leave top up and fertility preservation benefits
Extended health & dental benefits from day one
Corporate ClassPass membership and other wellness benefits

We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period.

If you require a reasonable accommodation to participate in the hiring process - such as during pre-employment testing or interviews - please indicate this by selecting “Yes” in the accommodation request field. We’ll reach out to discuss your needs if you're selected for the interview stage.

#MG

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More about this job

Responsibilities

The Senior Data Product Engineer will bridge the gap between data engineering and product management to build and improve data solutions across Match Group brands. They will manage data pipelines, advocate for best practices in performance and privacy, and translate stakeholder needs into actionable data products.

Requirements

Candidates must have at least 5 years of professional experience with expertise in SQL, Python, and modern data stack technologies like Databricks and AWS. Strong communication skills and the ability to facilitate workshops across diverse teams are essential for this role.

Skills

SQL
Data modeling
Lakehouse architecture
Python
Redshift
Airflow
AWS QuickSight
Databricks
Spark
Relational databases
Data engineering
Product management
ETL pipeline development
Containerization
Data visualization
Stakeholder management

Benefits

Generous vacation
Flex days
Professional development days
RRSP matching
Employee stock purchase plan
Professional development budget
Unlimited access to Udemy
Mentorship program
Parental leave top up
Fertility preservation benefits
Extended health benefits
Dental benefits
Corporate ClassPass membership

Visa sponsorship

Not detected in the job text

Keywords

Data Product Engineer
SQL
Python
Data Modeling
Lakehouse Architecture
Redshift
Airflow
AWS QuickSight
Databricks
Spark
Relational Databases
ETL
Containerization
Data Engineering
Product Management
Cloud Infrastructure
Metrics
Data Analytics
Stakeholder Engagement
Platform Engineering

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