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Added 9 mins ago
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Elsevier

Java Python Senior Software Developer

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 11, 2026
Posting language: English
Posted: Oct 12, 2026

Original job description

Must be located in the Montreal area.

About our Team

Our Technology teams use cutting-edge technologies to build products and systems to advance science and health. We provide our customers with powerful digital solutions, helping them to research the biggest problems facing the world today. We work to build a culture that values excellent DevOps: speed, agility, cost savings and higher quality.

About the Role

You will contribute towards Elsevier’s Research Data Platform (RDP). Our team’s primary focus within the RDP is on harvesting and transforming datasets to feed Elsevier’s data products.

Responsibilities

Working primarily in Java or Python to drive critical initiatives within Elsevier’s Research Data Platform (RDP)
Contributing code to new and existing projects, debug, take part in code reviews.
Working with large data sets to harvest and process data through our internal systems, fueling core Elsevier products.

Requirements

Possess current and extensive Java/Python Development skills. Beyond Python and Java experience, we work with the following technologies regularly: Confluent Kafka, Kubernetes, Linked-Data/RDF/JSON-LD, Databricks, Terraform, Github Actions, Apache Airflow, and Apache Iceberg. Experience with any of them is a plus.
Have proficiency with data manipulation languages.
Have ability to work with data models.
Experience in in development languages including but not limited to: Java, Spring Boot, XML, SQL, and UNIX.
Have basic knowledge of software development methodologies (e.g., Agile, Waterfall).
Have ability and desire to learn new processes and technologies.
Bilingual - Ability to communicate professionally in both English and French. Located in the Montreal area.

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More about this job

Responsibilities

Develop and maintain Java or Python code for critical initiatives within Elsevier’s Research Data Platform, including debugging and participating in code reviews. Harvest and process large datasets through internal systems to support Elsevier’s data products.

Requirements

Candidates must have extensive, current Java or Python development skills, proficiency with data manipulation languages, and the ability to work with data models. Experience with technologies such as Kafka, Kubernetes, Databricks, Terraform, and Apache Airflow is a plus; candidates must also be able to communicate professionally in English and French and be located in the Montreal area.

Skills

Java
Python
Data Processing
Data Modeling
SQL
Spring Boot
XML
Unix
Confluent Kafka
Kubernetes
Linked Data
RDF
JSON-LD
Databricks
Terraform
Apache Airflow

Visa sponsorship

Not detected in the job text

Keywords

Java
Python
Research Data Platform
Data Harvesting
Data Transformation
Large Datasets
Data Manipulation
Data Models
Confluent Kafka
Kubernetes
Linked Data
RDF
JSON-LD
Databricks
Terraform
GitHub Actions
Apache Airflow
Apache Iceberg
Spring Boot
XML
SQL
Unix
Agile
Waterfall
Code Reviews
DevOps
English
French

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