AI Data Engineer

Position: AI Data Engineer 3 – Consultant

Duration: 6+ month assignment (contract)

Client Location: Vancouver, BC

*(Services primarily delivered remotely; onsite meetings may occur if mutually agreed.)*

Engagement Model: Professional Services Engagement – B2B (Incorporated Entities Only)

Note:
Looking for candidates from gaming companies and product-based companies. The client is not looking for candidates from enterprise or banking clients for this role.

About the Engagement

Akkodis is seeking the services of an experienced
AI Data Engineer / Senior Analytics Engineer
consultant to support advanced analytics and data engineering initiatives within a product-driven environment. This role focuses on designing and delivering scalable data solutions that enable performance marketing analytics and data-driven decision-making.

The engagement involves working closely with cross-functional teams to model, curate, and productize data, leveraging strong data engineering expertise and business collaboration. Domain knowledge within the video game industry is highly valued, particularly for individuals with hands-on experience as a player or industry professional.

Services to be Provided

• Build subject matter expertise in business and data domains to support stakeholders with data access and insights.
• Identify, analyze, and curate structured and multi-structured datasets to meet analytics requirements.
• Design scalable data models and architect efficient dataflows for analytics and machine learning use cases.
• Develop and maintain automated cloud-based data pipelines to transform raw data into clean, enriched, and reliable datasets.
• Implement modern data engineering practices using object-oriented programming approaches.
• Create reusable frameworks and components to enhance data infrastructure and capability.
• Enable performance marketing strategies through robust analytics data products.

Expertise Required

- 4+ years of experience in data engineering, analytics engineering, data science, or related roles.
- Strong proficiency in
SQL and Python
(4–5 years of Python experience preferred).
- Minimum
3 years of experience in data modeling
.
- Experience working in
marketing analytics environments (2+ years preferred)
.
- Hands-on experience building and optimizing enterprise-scale
data pipelines
using tools such as
Spark, Airflow
, and cloud platforms (Azure preferred).
- Experience handling large-scale data including logs and event-streaming datasets.
- Strong business collaboration skills with the ability to translate analytics needs into data solutions.
- Experience working as an Analytics Engineer or Data Engineer on large enterprise systems.

Important

• This is a business-to-business engagement.
• Candidates must represent an incorporated entity, hold a valid business number, maintain appropriate insurance, and invoice for services rendered.
• All submissions must include the candidate’s full legal name (no logos or letterheads).

Nice to Have

Video g
Position: AI Data Engineer 3 – Consultant

Duration: 6+ month assignment (contract)

Client Location: Vancouver, BC

*(Services primarily delivered remotely; onsite meetings may occur if mutually agreed.)*

Engagement Model: Professional Services Engagement – B2B (Incorporated Entities Only)

Note:
Looking for candidates from gaming companies and product-based companies. The client is not looking for candidates from enterprise or banking clients for this role.

About the Engagement

Akkodis is seeking the services of an experienced
AI Data Engineer / Senior Analytics Engineer
consultant to support advanced analytics and data engineering initiatives within a product-driven environment. This role focuses on designing and delivering scalable data solutions that enable performance marketing analytics and data-driven decision-making.

The engagement involves working closely with cross-functional teams to model, curate, and productize data, leveraging strong data engineering expertise and business collaboration. Domain knowledge within the video game industry is highly valued, particularly for individuals with hands-on experience as a player or industry professional.

Services to be Provided

• Build subject matter expertise in business and data domains to support stakeholders with data access and insights.
• Identify, analyze, and curate structured and multi-structured datasets to meet analytics requirements.
• Design scalable data models and architect efficient dataflows for analytics and machine learning use cases.
• Develop and maintain automated cloud-based data pipelines to transform raw data into clean, enriched, and reliable datasets.
• Implement modern data engineering practices using object-oriented programming approaches.
• Create reusable frameworks and components to enhance data infrastructure and capability.
• Enable performance marketing strategies through robust analytics data products.

Expertise Required

- 4+ years of experience in data engineering, analytics engineering, data science, or related roles.
- Strong proficiency in
SQL and Python
(4–5 years of Python experience preferred).
- Minimum
3 years of experience in data modeling
.
- Experience working in
marketing analytics environments (2+ years preferred)
.
- Hands-on experience building and optimizing enterprise-scale
data pipelines
using tools such as
Spark, Airflow
, and cloud platforms (Azure preferred).
- Experience handling large-scale data including logs and event-streaming datasets.
- Strong business collaboration skills with the ability to translate analytics needs into data solutions.
- Experience working as an Analytics Engineer or Data Engineer on large enterprise systems.

Important

• This is a business-to-business engagement.
• Candidates must represent an incorporated entity, hold a valid business number, maintain appropriate insurance, and invoice for services rendered.
• All submissions must include the candidate’s full legal name (no logos or letterheads).

Nice to Have

- Video game domain knowledge (as an experienced player or industry professional).
- Proven ability to deliver analytics solutions with measurable business impact.
- Knowledge of
DevOps/DataOps practices
.
- Strong data exploration, analysis, and problem-solving skills.
- Ability to bring a creative, critical-thinking mindset to data challenges.

How to Apply

Submit your resume in confidence to
*[your recruitment email]*
or via the Akkodis Canada website.

Accessibility

- At Akkodis, part of The Adecco Group, our purpose is simple: to make the future work for everyone. We live our values—Passion, Collaboration, Inclusion, Courage, and Customers at Heart—by fostering a workplace where diversity is celebrated and every voice matters. We encourage applications from individuals of all backgrounds and identities.ame domain knowledge (as an experienced player or industry professional).
- Proven ability to deliver analytics solutions with measurable business impact.
- Knowledge of
DevOps/DataOps practices
.
- Strong data exploration, analysis, and problem-solving skills.
- Ability to bring a creative, critical-thinking mindset to data challenges.

How to Apply

Submit your resume in confidence to
*[your recruitment email]*
or via the Akkodis Canada website.

Accessibility

At Akkodis, part of The Adecco Group, our purpose is simple: to make the future work for everyone. We live our values—Passion, Collaboration, Inclusion, Courage, and Customers at Heart—by fostering a workplace where diversity is celebrated and every voice matters. We encourage applications from individuals of all backgrounds and identities.