Groupe Nordik is a fast-growing company whose goal is to rise to the top of the wellness, health, and tourism industries. We have proven ourselves as an industry trailblazer through our commitment and mission. Our vision and our newly created corporate office to support its three spas in Quebec, Ontario, and Manitoba. This aims to continue our expansion and thus help us become an international leader in Nordic spas.
To fulfil our primary mission of transforming people’s lives, one visit at a time, Groupe Nordik is leading multiple projects. We gain momentum by identifying business opportunities, getting involved, and bringing promising, large-scale projects to life. We rely on our teams’ creativity and engagement to help us succeed and diversify our projects.
We are currently looking for a Senior Developer whose role is designed for a backend-focused expert who leads Nordik’s evolution toward a robust, scalable, cloud-based data ecosystem. The position elevates our data maturity through strong engineering, automation, and architectural leadership—aligned fully with the Level 3 senior expectations from the original Full Stack JD but tailored to your required specialization.
Join us!
You are passionate about data, integrations and development and want to contribute to exceptional projects?
Join the Groupe Nordik team!
Work with like minded professionals who use their creativity and talents for one of the most dynamic, fast-growing companies in the region.
What you will do:
As a Senior Developer (Level III) specializing in data engineering, integrations, and cloud data platforms
, you will architect, design, and deliver robust backend systems, data pipelines, and database-driven applications that power Groupe Nordik’s operational and analytical ecosystems.
Unlike a full-stack profile, this role is backend-centric
, with deep expertise in SQL/No
SQL databases, ETL/ELT workflows, data modeling, data warehousing, and integration patterns
. You will serve as a technical lead, mentor developers, and drive best practices for data quality, scalability, and reliability.
Your work will directly influence Nordik’s data strategy and ensure our systems, analytics, and integrations operate smoothly across multiple environments.
Key Accountabilities & Core Responsibilities
1. Backend Architecture & Data Platform Engineering
Architect and implement high-performance backend systems focused on databases, ETL processes, and distributed data flows
.
Design and maintain data models
, schemas, and storage strategies for Postgre
SQL, MSSQL, Snowflake/Synapse, Mongo
DB, and Dynamo
DB.
Lead efforts to improve database performance, reliability, security, and scalability
.
Build APIs and backend services that support data-heavy applications and integrations.
2. ETL/ELT Development & Data Workflow Automation
Design and implement ETL/ELT pipelines using tools such as:
dbt, SSIS, AWS Glue, Airflow (or similar orchestration tools).
Automate ingestion, transformation, and storage of structured and unstructured data.
Ensure pipelines are observable
, fully logged, error-tolerant, and auditable.
Optimize data workflows for efficiency and reliability.
3. Data Warehouse, BI & Reporting Enablement
Design and maintain schemas and business layers in Snowflake or Azure Synapse
.
Work with analytics and BI teams to ensure data availability, quality, and performance.
Build optimized SQL datasets and views for tools such as Power BI or SSRS or AWS Quick Sight
.
Implement incremental loads, SCDs, partitions, clustering, and performance tuning.
4. Systems Integration & API/Data Exchange Engineering
Architect and maintain integrations between internal systems, SaaS platforms, and cloud services.
Implement secure, scalable patterns for data syncing, CDC, event-driven flows
, and batch processing.
Lead the design of APIs and microservices enabling data interoperability across the enterprise.
5. Leadership, Mentorship & Standards
Act as technical lead on data-heavy initiatives and backend architecture decisions.
Mentor intermediate and junior developers on backend design, SQL optimization, and integration design.
Establish standards for SQL quality, data modeling, pipeline reliability,…
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