Design and build data pipelines and architectures within the Snowflake Cloud Data Platform.
Collaborate with architects, developers, and business partners to deliver data engineering solutions.
Implement Snowflake objects including pipelines, transformations, and data models for analytics.
Medavie is a national health solutions partner that innovates in insurance, primary care, and emergency medical services, impacting millions of Canadians. With a team of over 8,000 professionals, Medavie fosters an award-winning, inclusive culture emphasizing flexibility, growth, and wellbeing.
Build and maintain ETL/ELT data pipelines for large-scale organizations.
Develop data solutions using SQL, Python, and tools such as Snowflake and AWS.
Collaborate with non-technical stakeholders to translate business requirements into scalable technical solutions.
We are a trusted technology and transformation solutions provider for global brands, with over 30 years of experience. We have more than 3,300 employees, €350/£300m in revenue, and a values-driven culture that has earned us recognition as a Great Place to Work.
Design, build, and scale reliable data infrastructure for products, analytics, and AI.
Lead technical evolution of the data platform toward AI-ready architecture.
Define data governance standards and mentor data engineering teams.
Our partner is a fast-growing fintech company focused on improving retirement access. They foster a mission-driven culture with opportunities for innovation and collaboration.
Design, build, and maintain data pipelines and automation systems for cloud cost visibility and insights.
Implement scalable data models and ingestion frameworks to support large-scale telemetry and usage data.
Optimize data systems for performance, reliability, and cost-efficiency.
Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. The company partners with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
Design, build, maintain, and optimise scalable data pipelines using Dagster, Python, and Snowflake.
Write clean, efficient, well-documented code and ensuring quality and scalability of the codebase.
Ensure high standards of data quality are maintained through extensive unit testing, integration testing and data monitoring.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. With over 400,000 players, we are a high-performance team operating at pace with high ownership and constant iteration.
Lead the design and delivery of scalable data solutions within a modern data engineering environment.
Act as a technical leader collaborating with business and IT stakeholders to transform complex requirements into effective architectures.
Build and optimize data platforms using advanced technologies such as Python, Snowflake, and SQL.
The partner company focuses on data-driven solutions and modern data engineering. The company size is not disclosed, but it offers remote work and collaboration with global teams.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion through to analytics enablement.
Improve monitoring, alerting, and data quality across key pipelines.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. Over 400,000 players have joined, and the team operates with high ownership and fast iteration in a scale-up environment.
Define and own the strategic architecture of Foodsmart's data platform, setting technical direction for scalable and governed data infrastructure.
Lead design and implementation of next-generation data pipelines, data models, and platform capabilities for advanced analytics and machine learning.
Establish company-wide standards for data quality, governance, security, and compliance, acting as a cross-functional technical leader.
Foodsmart is the leading Foodcare platform in the U.S., delivering nutrition-driven healthcare at scale through a national network of Registered Dietitians. The company serves over 3 million members, secured a $200 million investment in 2024, and values a customer-first, collaborative culture.
Partner with business and product teams to translate open-ended problems into clear analytical questions and actionable recommendations.
Analyse customer journeys, funnels, engagement, and retention to identify growth opportunities.
Design and evaluate experiments with appropriate statistical and business context.
JumpCloud is the AI-powered unified IT management platform designed to secure the modern workforce. With teams in 15+ countries, they foster a remote-first culture focused on human connection and inclusivity.
Lead the design, development, and deployment of enterprise-scale AI and data solutions using AWS and Snowflake.
Architect and implement large language models and agentic AI workflows for business automation and decision support.
Collaborate with cross-functional teams to ensure solutions meet regulatory, security, and compliance requirements in financial services.
U.S. Financial Technology operates the largest and most advanced mortgage securitization platform globally, supporting the Uniform Mortgage-Backed Security of Fannie Mae and Freddie Mac. The company supports 70% of the mortgage-backed securities market and offers a full lifecycle of services with a focus on cloud-based technology and innovation.