Data Engineering Developer

Job Description

The data engineer is responsible for designing, implementing and managing data pipelines and establishing data models to deliver reliable information to the various business lines of the company.

Joining the data engineering team means growing in an environment where autonomy and initiative are valued. Here, you have the freedom to propose ideas, demonstrate resourcefulness, and embrace a results‑oriented approach.

Responsabilities :

Design, develop, and maintain cloud-based data processing and storage solutions.

Design and implement robust data pipelines (ETL / ELT) for ingesting, transforming, enriching, and distributing data from various sources (structured, semi-structured, unstructured).

Collaborate with stakeholders (business teams, analysts, data scientists, architects) to understand business needs and translate them into appropriate technical solutions.

Participate in defining the cloud data strategy : develop roadmaps, migration plans, gradual adoption of native cloud services, and modernization of existing systems.

Ensure data quality, consistency, security, and integrity through controls, automated testing, and continuous monitoring of data flows.

Stay up to date on cloud solutions, architecture, Ops practices (Data / ML-Ops), and AWS technologies, as well as their interdependencies.

Implement observability and logging practices (logging, monitoring, alerting) for data pipelines and infrastructures.

Identify and adopt new tools and techniques to improve performance, automation, and scalability.

Document solutions, data flows, and technical decisions to ensure the sustainability and maintainability of implemented solutions.

Qualifications

Studies in Computer Science, or a related field, or equivalent professional experience.

At least three (3) years of experience in data engineering, including designing data pipelines, large-scale data processing, and integrating diverse data sources

Experience building and implementing AWS infrastructures

Proficiency with pipeline orchestration tools (e.g., Airflow, AWS Step Functions, DBT) and data processing languages (Python, SQL, Spark, etc.)

Experience configuring and tuning virtual private clouds

Knowledge of best practices in data security, monitoring, and quality (e.g., encryption, restricted access, data lineage)

Experience with infrastructure-as-code (Terraform, CloudFormation, or equivalent) and DevOps practices (CI / CD, Git, automation)

Strong analytical and problem-solving skills

Self-starter with the ability to work independently or as part of a project team

Technical curiosity, openness to learning new technologies, and a drive for continuous improvement

Ability to work in an agile environment, collaborate with multidisciplinary teams, and adapt to changing priorities

Bilingual in English and French (spoken and written)

"THE TECHNOLOGY STACK" THAT AWAITS YOU :

AWS

Databricks

Python, SQL

Terraform

Additional Information

EQUAL OPPORTUNITY EMPLOYER

At VOSKER, we value the uniqueness of every individual and celebrate the diversity that helps us redefine what’s possible. We foster collaboration in a healthy, inclusive work environment where all voices are heard.

If you have specific needs to make the recruitment process more accessible, don’t hesitate to reach out.

Now it’s your turn, tell us about yourself and apply today!