Senior Data Engineer — Data Platform & Analytics (Hybrid)

Taiv; Winnipeg; On-site; CAD 100,000 - 150,000; Full time

Benefits offered by this job

Employee stock options

100% employer‑covered health benefits

Flex‑time & unlimited paid vacation

Gym membership

Catered lunches 3x per week

Dog‑friendly office

Hybrid work model

Free parking on‑site

Job summary

Taiv, a Winnipeg-based tech startup, is hiring a Senior Data Engineer to own data modeling, ETL pipelines, and the reporting layer used by engineering and business teams. You will standardize data models across devices, venues, campaigns, and ads, while building reliable pipelines and dashboards.

You'll work closely with engineering and product leadership, ensure data quality, and shape the data function’s growth, including tooling and analytics for ML models and attribution systems.

Qualifications

• 6+ years of experience in data engineering, analytics engineering, or data science with a strong engineering component.
• Experience designing data models and warehouse schemas that other teams build on.
• Experience building and operating production ETL/ELT pipelines, including orchestration, testing, and monitoring.
• Expert‑level SQL and strong Python.
• Hands‑on experience with at least one modern data warehouse or query engine (ClickHouse, Athena, Snowflake, BigQuery, Redshift, or similar).
• Experience with BI and reporting tools (Metabase, Looker, Tableau, or similar) and defining company metrics.
• Experience working with event data at scale, ideally from a large fleet of devices, a consumer product, or an ad platform.
• Bachelor's degree in Computer Science, Engineering, Statistics, or a related field, or equivalent experience.
• Willing to work in person at our Winnipeg office. We will support relocation for the right candidate.

Responsibilities

• Standardize the data models that describe Taiv's business: devices, venues, advertisers, campaigns, impressions, and detection output.
• Build and own the ETL pipelines that move data from our production systems and device fleet into the warehouse, with the orchestration, testing, and monitoring to keep them reliable as the fleet grows.
• Own the reporting and BI layer. Define the core metrics with each team, build the dashboards, and keep the numbers in them matching reality.
• Partner with engineering leads and the Head of Product to turn their questions into data they can act on.
• Set the standards for how data gets collected, named, and stored across the company, and work with the engineering teams to instrument their products at the source.
• Make sure the data models you build can feed production metrics and alerting across the fleet. The software teams own the alerting and on-call systems themselves, but they'll build on your foundation.
• Help shape what the data function needs next, whether that's tooling, infrastructure, or people, and make the case for it.
• Over time, extend the foundation into product analytics, evaluation tooling for our ML models, and proprietary campaign measurement and attribution.

Skills

SQL

Python

Data modeling

ETL pipelines

BI tooling

Data quality

Education

Bachelor's degree in CS/Engineering/Statistics or equivalent

Tools

Snowflake

BigQuery

Redshift

ClickHouse

Athena

Metabase

Looker

Tableau

DBT

Job description

Taiv, a Winnipeg-based tech startup, is hiring a Senior Data Engineer to own data modeling, ETL pipelines, and the reporting layer used by engineering and business teams. You will standardize data models across devices, venues, campaigns, and ads, while building reliable pipelines and dashboards.

You'll work closely with engineering and product leadership, ensure data quality, and shape the data function’s growth, including tooling and analytics for ML models and attribution systems.