Own the end-to-end technical strategy and execution for AI-enabled product capabilities, driving generative AI and LLM-based architectures.
Build a robust data foundation and MLOps capabilities, including model training pipelines, monitoring, and experimentation.
Lead and scale a high-performing Data & AI organization, partnering with Product, Engineering, and the executive team.
StarCompliance provides employee compliance technology for financial institutions and regulated organizations. Backed by private equity, they serve over 350 clients and are investing in a cloud-native, AI-enabled SaaS platform.
Drive platform strategy and architecture for the Enterprise Data Platform using Snowflake, dbt, and Matillion.
Embed AI into data analytics by designing pipelines and RAG systems to transition teams into AI-ready units.
Enable self-service and mesh architecture while implementing robust governance and observability frameworks.
Zscaler accelerates digital transformation by providing cloud-native security solutions that protect customers from cyberattacks and data loss. The company fosters a culture of execution centered on customer obsession, collaboration, and accountability, with a focus on high-impact work.
Design, build, and stabilize Databricks-based data pipelines from ingestion to reporting.
Optimize existing pipelines for performance, scalability, cost efficiency, and reliability.
Collaborate with cross-functional teams to enhance data platform stability and business value.
The company is a partner organization leading a high-impact data transformation initiative. It operates in a fast-paced, technically challenging environment with a collaborative, impact-driven culture.
Build and automate data pipelines using AWS to support cross-functional teams.
Manage and prioritize projects to improve data access and reliability.
Investigate and iterate on small improvements to enhance the data environment.
Nex combines technology and play to deliver active gaming experiences that get families moving. It is a growing, product-driven company with a culture that values talent and individual growth.
Lead and support Data Engineering teams, driving technical excellence and mentoring engineers in scalable data solutions.
Design and oversee data solutions using Databricks, Apache Spark, and cloud platforms like AWS, Azure, or GCP.
Collaborate with clients and stakeholders to define technical strategies and ensure high-quality, business-driven outcomes.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25+ countries, they foster a collaborative culture focused on innovation and growth.
Own the gold data layer by transforming silver tables into curated, semantically rich datasets for AI model development.
Reverse-engineer data semantics by collaborating with product engineers, clinical experts, and analyzing SQL queries and stored procedures.
Build pipelines for reuse, automate quality filtering and synthesis, and maintain reproducible dataset snapshots.
PointClickCare is a leading health tech company that helps providers deliver exceptional care through AI and data. Privately held and founder-led, they serve over 30,000 organizations, were recognized as a top private cloud company by Forbes, and have one of Canada's Most Admired Corporate Cultures.
Provide Apache Airflow expertise directly to customers to optimize their use of the managed service.
Become an Apache Airflow expert by learning from leaders of the Airflow project.
Work on the Customer Reliability Engineering team to ensure reliable data pipeline operations.
Astronomer provides a managed Apache Airflow service to help organizations run data pipelines efficiently. The company is part of the open-source community led by Airflow project leaders, fostering a collaborative and expert-driven culture.
Design and build the Customer Data Platform from scratch: data ingestion, identity resolution, unified profile, and activation.
Establish multi-tenant architecture with data isolation by client and state.
Build AI enrichment layer including segmentation, predictive models, and LLM-based preference enrichment.
Sweed builds an all-in-one cannabis retail platform combining POS, eCommerce, Marketing, Analytics, and Inventory Management. With a team of over 200 people organized into cross-functional product teams, they focus on simplicity, efficiency, and innovation.
Architect and scale data systems for analytics, ML/AI products, reporting, and APIs.
Own the full data lifecycle including ingestion, transformation, modeling, validation, and serving.
Partner with Data Science to productionize models and build reliable data foundations for AI-driven products.
Vidmob is the creative data company that provides scoring software and analytics to help marketers and agencies drive business results through improved creative effectiveness. They partner with top marketers and agencies worldwide and operate the industry's most robustly instrumented human-reinforcement learning model for creativity.
Lead domain-based data product teams to deliver scalable, reliable, and reusable data products on a unified platform.
Own the end-to-end lifecycle of data products including design, development, operationalization, and continuous improvement.
Partner with business domain owners as a technical co-leader and drive cross-domain collaboration within a federated data operating model.
Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group, providing a wide portfolio of IT and telecommunications services. With more than 5,300 employees, it was named Hungary’s most attractive employer in 2025 and serves hundreds of large corporate customers across Germany and Europe.