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Added 6 mins ago
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Principal Research Scientist
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 36 mins ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
As a Software Engineer II on the Excel Agent team, you will help design, build, and ship features that combine Excel’s core capabilities with agentic AI. You will own feature…
Added 36 mins ago
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Software Engineer II
Microsoft
Vancouver, BC
- Full-time
As a Software Engineer II on the Excel Agent team, you will help design, build, and ship features that combine Excel’s core capabilities with agentic AI. You will own feature…
Added 36 mins ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Senior Software Engineer on the Excel Agent team, you will design and deliver end-to-end features that combine Excel capabilities with agentic AI. You will own technical areas spanning…
Added 47 mins ago
AS
Project Engineer (France)
AdaptiveMobile Security
Engineer, BC
- Full-time
…Enea Qosmos products to customer environments. As a software engineer on this team, you will develop custom applications or modules, implement product-specific modifications, and provide…
Added 1 hour ago
AI
Snyk SME (Application Security Transformation Lead)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Snyk product certifications or advanced Snyk platform training.
Added 1 hour ago
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Enterprise Sales Engineer, Financial Services
Sierra
Toronto, ON
- $270,000 to $280,000 CAD / year
- Full-time
Work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development…
Added 1 hour ago
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High Growth Enterprise Sales Engineer
Sierra
Toronto, ON
- $210,000 to $220,000 CAD / year
- Full-time
Work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development…
Added 1 hour ago
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Enterprise Sales Engineer, Consumer Business Services
Sierra
Toronto, ON
- $270,000 to $280,000 CAD / year
- Full-time
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Added 1 hour ago
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Enterprise Sales Engineer - Strategic, Retail
Sierra
Toronto, ON
- $355,000 to $365,000 CAD / year
- Full-time
Decide when to bring in Agent Development, Product, Security, Legal, and Sierra leaders, and what each of them needs to do. You keep everyone aimed at the same goal
Added 1 hour ago
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Enterprise Sales Engineer - Strategic, Healthcare
Sierra
Toronto, ON
- $355,000 to $365,000 CAD / year
- Full-time
Decide when to bring in Agent Development, Product, Security, Legal, and Sierra leaders, and what each of them needs to do. You keep everyone aimed at the same goal
Added 1 hour ago
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Enterprise Sales Engineer - Strategic, Financial Services
Sierra
Toronto, ON
- $355,000 to $365,000 CAD / year
- Full-time
Decide when to bring in Agent Development, Product, Security, Legal, and Sierra leaders, and what each of them needs to do. You keep everyone aimed at the same goal
Added 1 hour ago
S
Enterprise Sales Engineer - Majors, Retail
Sierra
Toronto, ON
- $325,000 to $335,000 CAD / year
- Full-time
…and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led…
Added 1 hour ago
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Enterprise Sales Engineer - Strategic, Consumer Business Services
Sierra
Toronto, ON
- $355,000 to $365,000 CAD / year
- Full-time
Decide when to bring in Agent Development, Product, Security, Legal, and Sierra leaders, and what each of them needs to do. You keep everyone aimed at the same goal
Added 1 hour ago
S
Enterprise Sales Engineer - Strategic
Sierra
Toronto, ON
- $355,000 to $365,000 CAD / year
- Full-time
Decide when to bring in Agent Development, Product, Security, Legal, and Sierra leaders, and what each of them needs to do. You keep everyone aimed at the same goal
Added 1 hour ago
ES
Application Security Transformation Lead
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
Knowledge of NIST Secure Software Development Framework (SSDF), NIST Cybersecurity Framework, OWASP Top 10, OWASP API Security Top 10, CWE/SANS Top 25, ISO 27001, PCI DSS, and SOC 2.Snyk…
Added 1 hour ago
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Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
- Full-time
We are seeking a Senior Full Stack AI Engineer who can combine strong hands-on software engineering with technical engagement and project delivery leadership. The successful candidate will…
Added 1 hour ago
S
Enterprise Sales Engineer - Majors, Consumer Business Services
Sierra
Toronto, ON
- $325,000 to $335,000 CAD / year
- Full-time
…and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led…
Added 1 hour ago
S
Enterprise Sales Engineer - Majors
Sierra
Toronto, ON
- $325,000 to $335,000 CAD / year
- Full-time
…and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led…
Added 1 hour ago
S
Enterprise Sales Engineer
Sierra
Toronto, ON
- $260,000 to $270,000 CAD / year
- Full-time
Work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development…
Added 1 hour ago
Software Engineer
Opendoor
Toronto, ON
…You'll be expected to understand how your piece connects to the product and communicate at that level. We don't have project managers, we don't have scrum. We do reviews, proposals, demos,…
Added 1 hour ago
Agentic Analytics Engineer
Opendoor
Toronto, ON
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a…
Added 1 hour ago
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Data Engineer
DarkVision
North Vancouver, BC
- $70,000 to $110,000 CAD / year
…responsible for early-stage ideation, research, experimentation, and development. You will collaborate closely with scientists and engineers within the team, as well as with product…
Added 1 hour ago
Mechanical Test Engineer
DarkVision
Calgary, AB
…design of components, fixtures, and assemblies that support both product development and test…
Added 2 hours ago
CL
Forward Deployed Engineer
Clover Labs AI
Remote, Canada
- $85,000 to $110,000 CAD / year
- Full-time
- Remote
We're looking for an engineer who wants to sit right where our product meets our customers. You'll work hands-on with the brands, agencies and growth teams using our agents, turning their…

Agoda

Senior / Staff Data Engineer (BI) – CEG Team

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 20, 2026
Posting language: English
Posted: Oct 21, 2026

Original job description

About Agoda

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.

Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.

No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

Get To Know Our Team:

The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

The Opportunity:

As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves customers and agents across all contact channels. You will work closely with Product, Operations, Analytics, Operations Efficiency, WFM, DevOps and engineering teams to deliver reliable data pipelines, scalable models, internal tools, and clear insights that improve customer experience and operational efficiency.

You are comfortable switching between engineering work (pipelines, data models, internal services, tooling, optimization) and analytics work (business questions, dashboards, deep‑dive analysis). You can talk to both engineers and business stakeholders in simple, clear language. At the Staff level, you will also shape CEG’s data and tooling strategy, influence cross‑team architecture, and raise the overall engineering and data bar for the team.

What You’ll Do:

Data Engineering

Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third‑party tools and logs.
Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation.
Ensure data quality, reliability, and observability:

- Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics.
- Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics.

Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high‑volume CEG data (calls, chats, emails, cases, events).
Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks).

Data Tools & Product Development

Design and build data tools and internal products for CEG (e.g., self‑service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views).
Use languages such as Python, Java, Golang, or JavaScript/TypeScript to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams.
Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration.
Apply solid software engineering practices - testing, code reviews, CI/CD, observability - to data products so they are reliable, maintainable, and easy to extend.
At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels.

Data Analytics & Business Impact

Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches.
Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self‑service access to data.
Perform deep‑dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data‑driven recommendations.
Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools.
Communicate findings in simple, business‑friendly language, including clear implications and recommended next steps.

Stakeholder & Team Collaboration

- Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership).
- Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG.
- Mentor junior and mid‑level team members on data engineering, analytics, and software engineering best practices.
- Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews).
- At Staff level, influence cross‑team architecture and ways of working, making sure CEG’s data ecosystem scales with business growth.

Required Qualifications:

8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data‑driven environment (Staff level typically 10+ or equivalent scope/impact).
Strong SQL skills (complex joins, window functions, aggregation, query optimization).
Experience with at least one major data warehouse / big data technology (e.g., BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar).
Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks).
Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or JavaScript/TypeScript).
Experience building production‑grade data pipelines and/or data services with attention to quality, monitoring, and maintainability.
Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker).
Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights.
Ability to communicate complex topics in simple, concise language to non‑technical stakeholders.

Preferred Qualifications:

Experience with event‑driven data (logs, clickstream, customer journey, contact flows, tracking data).
Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema).
Experience with A/B testing, experimentation platforms, or causal analysis.
Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations).
Experience in online consumer products, travel, e‑commerce, or marketplaces.
Hands‑on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams.
Prior experience in a Staff or Tech‑Lead role, driving technical direction and mentoring multiple engineers/analysts.

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Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.Discover more about working at Agoda

Agoda Careers https://careersatagoda.com
Facebook https://www.facebook.com/agodacareers/
LinkedIn https://www.linkedin.com/company/agoda
YouTube https://www.youtube.com/agodalife

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.

Disclaimer

We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

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More about this job

Responsibilities

Build and maintain scalable data pipelines, models, services, and internal tools that support customer experience operations, reporting, monitoring, and decision-making. Partner with business and technical teams to define metrics, analyze operational trends, improve data reliability and efficiency, and - at Staff level - shape strategy and architecture while mentoring colleagues.

Requirements

Requires 8+ years of relevant data engineering, analytics engineering, or data analysis experience, with Staff-level candidates typically bringing 10+ years or equivalent impact. Candidates need strong SQL, experience with a data warehouse and ETL/ELT orchestration, proficiency in a programming language, production data pipeline or service experience, BI tool familiarity, and the ability to communicate insights clearly to non-technical stakeholders.

Skills

SQL
ETL/ELT Pipelines
Data Modeling
Data Warehousing
Python
Java
Golang
JavaScript/TypeScript
Data Quality and Observability
Airflow
dbt
Business Intelligence
Dashboard Development
Data Analysis
Software Engineering
Stakeholder Communication

Visa sponsorship

Not detected in the job text

Keywords

SQL
Python
Java
Golang
Kotlin
JavaScript/TypeScript
BigQuery
Snowflake
Redshift
Hive
Spark
Vertica
StarRocks
Airflow
dbt
ETL/ELT
Data Warehousing
Data Modeling
Tableau
Power BI
Superset
Metabase
Looker
CI/CD
Dimensional Modeling
A/B Testing
Event-Driven Data
Data Quality
Observability
Customer Experience

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