Data Delivery Lead: End-to-End Data Packaging & QA

Mecka AI; Toronto; On-site; CAD 110,000 - 150,000; Full time

Job summary

Mecka AI is seeking a Data Delivery Lead to turn raw captured and labeled data into customer-ready deliveries. You will translate lab specifications into concrete queries, validate data against rigorous gates, and package reports and catalogs that accompany each drop.

The role sits at the intersection of data analytics, engineering, and customer delivery. You will own the data workflow end-to-end, coordinate with internal teams, and ensure high-quality data that scales as the business grows.

Qualifications

• 1–3 years in data analytics, data engineering, analytics engineering, or a similarly data-heavy role.
• Fluent in SQL; comfortable querying large, imperfect datasets.
• Working proficiency with Python for data manipulation, validation, and automation.
• Solid grasp of data pipelines, schemas, and data-quality concepts.
• Proven ability to own a data workflow or deliverable end-to-end.
• Excellent communication and stakeholder-management abilities.

Responsibilities

• Deliverable assembly & export: Pull the final delivery cut from internal data systems (document and columnar databases, and file stores).
• Format data to each customer's schema; generate manifests, indexes, and packaging.
• Stage and hand off deliveries to customer buckets and cloud storage reliably and reproducibly.
• Own the mechanics of the drop end-to-end, so nothing ships half-assembled.
• Delivery QA & validation: Run every deliverable through ship-gates; design validation and quality checks.
• Set an internal acceptance bar higher than the customer's QC; catch issues early.
• Build and maintain golden reference sets and repeatable checks for quality.

Skills

SQL

Python

Data analytics

Data engineering

Data pipelines

Data quality

End-to-end ownership

Tools

BigQuery

Snowflake

ClickHouse

Job description

Mecka AI is seeking a Data Delivery Lead to turn raw captured and labeled data into customer-ready deliveries. You will translate lab specifications into concrete queries, validate data against rigorous gates, and package reports and catalogs that accompany each drop.

The role sits at the intersection of data analytics, engineering, and customer delivery. You will own the data workflow end-to-end, coordinate with internal teams, and ensure high-quality data that scales as the business grows.