Develop a robust platform that supports the creation of high-quality data pipelines and enables fast, efficient, end-to-end experimentation. You will play a key role in data engineering, ensuring our infrastructure is scalable, reliable, and optimized for large-scale data processing.

You will play a critical role in understanding and optimizing the dynamics of the world’s largest work marketplace. Your expertise in data science will help shape strategic executive-level decisions across Supply and Demand dynamics, Macroeconomic and Generative AI influences, Customer behavior / segmentation / lifetime value, and Marketplace efficiency.

Point Wild is building the Trailblazer AI Team, and as a Senior AI Engineer, you will play a critical role in building, deploying, and operationalizing machine learning models that drive innovation across the company. This role is hands-on, requiring expertise across the entire AI development lifecycle. You will collaborate closely with R&D teams to scope AI initiatives, rapidly prototype models, and ensure scalable, maintainable AI solutions.

Play a critical role in standing up and maintaining the data pipelines and infrastructure that power AI initiatives across the company. This role is a hybrid between data engineering and MLOps —ensuring that AI engineers have clean, structured data for modeling while also building and managing the ML infrastructure for deployment, scaling, and monitoring.

Shape the backbone of Bright Network's business intelligence system as a Senior Data Engineer. You’ll design, build, and optimise scalable data solutions, using tools like Fivetran, Snowflake, DBT, and Tableau, to evolve the data architecture and empower data-driven decision-making across the company.

The Senior Data Engineer role requires at least 6 years' experience and solid knowledge of Azure. Strong skills in Databricks, DBT, Fivetran, and Airflow are essential, as is experience in an agile environment and good English knowledge.

Configuration of standard SAP extractors, enhancement of standard extractors, creation of custom extractors. Modelling of master data tables, Info Cubes and Data Store Objects. Building of security and authorization objects. Development of data transformation packages. Automation of all steps using Process Chains. Interfacing with the Oracle Data Warehouse. Daily job execution monitoring in production.

Become an integral core member of a group supporting the world’s largest ticketing system as you lead the end-to-end database migration project from legacy databases to Oracle. You will design and implement efficient data migration processes, ensuring data integrity and performance, while also providing guidance and mentorship to junior DBAs assisting in the migration effort.

Support daily data science team activities, including data collection, cleaning, and preprocessing. Build and optimize machine learning models and conduct exploratory data analysis (EDA) to develop dashboards and visualizations for insights. This is a time-limited internship opportunity.

As a Senior Python Engineer specializing in AI/ML, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage. You'll collaborate with product managers, data scientists, and software engineers to identify AI/ML opportunities and develop innovative Python- or Go-based solutions.