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MPA Recruitment

Senior Data Engineer

Halifax, NS, Canada

Full-time

Within 25 km of Halifax · About 0.5 km from the city centre

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Job details

Job type: Full-time
Apply by: Dec 15, 2026
Posted: Nov 15, 2026

Original job description

As a Senior Data Engineer, you will be responsible or designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Senior Data Engineers provide strong development leadership and take responsibility for significant technical components of data systems. You will work within a multi-skilled agile team to design and develop large-scale data processing software to meet user needs in demanding production environments.

Your responsibilities will include working to develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution. Working with Architects and Lead Engineers to ensure the software supports non-functional needs. Collaborating with colleagues to resolve implementation challenges and ensure code quality and maintainability remains high. Leads by example in code quality. Working with operations teams to ensure operational readiness. Advising customers and managers on the estimated effort and technical implications of user stories and user journeys. Coaching and mentoring team members

MINIMUM (ESSENTIAL) REQUIREMENTS:

Strong software development experience in one of Java, Scala, or Python

Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.

Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment

Proficient in SQL and SQL extensions for analytical queries

Solid understanding of ETL/ELT data processing pipelines and design patterns

Aware of key features and pitfalls of distributed data processing frameworks, data stores and data serialisation formats

Able to write quality, testable code and has experience of automated testing

Experience with Continuous Integration and Continuous Deployment techniques

DESIRABLE:

Experience of data pipeline development

Experience of Docker and Kubernetes

Experience of performance tuning

Experience of data visualisation and complex data transformations

Experience with steaming and event-processing architectures including technologies such as Kafka and change-data-capture (CDC) products

Expertise in continuous improvement and sharing input on data best practice

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More about this job

Responsibilities

Design, develop, test, and maintain large-scale data processing and persistence software, primarily for Big Data platforms, throughout the software lifecycle. Lead technical components, uphold code quality and operational readiness, advise on effort and technical implications, and coach and mentor team members.

Requirements

Requires strong development experience in Java, Scala, or Python; experience building and deploying substantial data-processing components in production; and proficiency in SQL, ETL/ELT patterns, distributed data technologies, automated testing, and CI/CD. The role also calls for quality, testable code and awareness of the features and pitfalls of data-processing frameworks, data stores, and serialization formats.

Skills

Java
Scala
Python
SQL
Data Processing
ETL/ELT Pipelines
Distributed Data Processing
Data Stores
Data Serialization
Automated Testing
Continuous Integration
Continuous Deployment
Data Pipeline Development
Docker
Kubernetes
Performance Tuning

Visa sponsorship

Not detected in the job text

Keywords

Java
Scala
Python
SQL
AWS
Azure
Google Cloud Platform
Databricks
Big Data
Data Processing
Data Persistence
ETL/ELT
Distributed Data Processing
Data Stores
Data Serialization Formats
Automated Testing
Continuous Integration
Continuous Deployment
Data Pipelines
Docker
Kubernetes
Performance Tuning
Data Visualization
Complex Data Transformations
Kafka
Change Data Capture
Agile
Production Environments
Code Quality
Operational Readiness

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