Senior Data Engineer - Microsoft Data & AI

ttec

Toronto

Remoto

CAD 90.000 - 140.000

Tempo pieno

42 ore fa
Candidati tra i primi
Generatore di candidature

Trasforma questa posizione in un colloquio — un curriculum e una lettera di presentazione creati in base a ciò questo datore di lavoro sta cercando.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Bonus eligible
Equity grant
Medical, Dental, Vision

Descrizione del lavoro

TTEC is hiring a full-time, fully remote Data Engineer open to candidates in Ontario and British Columbia. You’ll join a small high-impact team partnering with business units to solve data problems using AWS, GCP, BigQuery, dbt, Fivetran, Databricks, Terraform and Python.

As an internal consultant, you’ll translate business asks into scalable data solutions, own projects end-to-end, and ship production-ready pipelines across multiple clouds.

Competenze

  • 3+ years of data engineering experience with ownership of production pipelines.
  • Proficient in Python or Go and SQL.
  • Experience with AWS and GCP, including BigQuery.
  • Experience with dbt, Fivetran, and Databricks.
  • Terraform or IaC tooling experience.
  • Ability to scope problems with non-technical stakeholders and architect solutions end-to-end.
  • Analytics mindset; understands how data will be used beyond reporting.

Mansioni

  • Architect and build end-to-end data solutions.
  • Collaborate with stakeholders to translate needs into technical designs.
  • Monitor production pipelines and provide ongoing support.

Conoscenze

Data engineering
Python
SQL
AWS
GCP
BigQuery
dbt
Fivetran
Databricks
Terraform
IaC
Stakeholder management
Analytics mindset

Strumenti

Airflow
Snowflake
S3

Descrizione del lavoro

An established global tech company in the B2B data and SaaS space is hiring a full-time, fully remote Data Engineer, open to candidates in Ontario and British Columbia. You'll join a small, high-impact team that partners with business units across the company, from revenue and operations to corporate functions, to solve their data problems. The tech stack spans AWS and GCP and includes BigQuery, dbt, Fivetran, Databricks, Terraform, and Python.

This isn't a heads-down pipeline role, and it isn't a reporting role either. The team works like an internal consultancy. You'll sit down with a business group, learn what's actually slowing it down, then architect and build the fix. You pick the tools. Some problems call for Databricks, some for dbt, and some for a custom pipeline on AWS. The hiring manager wants a problem-solver with an analytics mindset: someone who listens first, translates a messy business ask into a clean technical solution, and owns it all the way into production. Because the work rotates across departments, you'll build broad multi-cloud experience fast and get visibility across the whole organization. If you've come from big tech or you've worn many hats at a startup, you'll feel right at home. The role is fully remote and comes with base salary, bonus, and equity.

Full-time

Required Skills & Experience
  • 3+ years of data engineering experience, with ownership of production pipelines
  • Python or Go, plus strong SQL
  • AWS and GCP, including BigQuery
  • dbt
  • Fivetran
  • Databricks / Spark
  • Terraform or another IaC tool
  • Ability to scope problems with non-technical stakeholders and architect solutions end-to-end
  • An analytics mindset: you understand how data will be used, even though you won't be building reports
Desired Skills & Experience
  • Snowflake
  • Airflow and S3
  • CI/CD for data pipelines
  • Experience handling sensitive data and access controls
  • Big tech or startup background
What You Will Be Doing
Daily Responsibilities
  • 65% Hands On (architecting and building solutions)
  • 25% Stakeholder & Team Collaboration
  • 10% Production Monitoring & Support
The Offer
  • 10% bonus eligible
  • Equity grant
You will receive the following benefits
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Equity

Current Vacancy: Yes

Use of AI in Hiring: Yes

Applicants must be currently authorized to work in the Canada on a full-time basis now and in the future.

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