Design Scalable Data Architecture: Build modern, cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
Develop Efficient Data Pipelines & Models: Automate ETL/ELT workflows, optimise data models, and enable self-serve analytics and AI.
End-to-End Data Ownership: Manage ingestion, storage, processing, and delivery of structured and unstructured data.
Trustonic provides smartphone locking technology, enabling global access to devices and digital finance. They partner with mobile carriers, retailers, and financiers across 30+ countries, powering device financing solutions. They celebrate diversity and aim to do the right thing for each other, the community, and the planet.
Build and scale the roadmap for fraud decisioning, ensuring our models stay ahead of emerging typologies.
Mentor and develop a team of data scientists, fostering a culture of mastery and continuous learning.
Partner with Product and Engineering to design and deploy real-time decision logic and data architectures.
Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets. They provide payments, banking, credit, and financial management tools, reliable products that people and businesses use every day.
Partner with teams across Marketing, People, and Finance to deliver trusted analytics that clarify performance.
Enable the Marketing team to better understand the customer journey and evaluate campaign performance.
Perform investigative analysis to identify anomalies, trends, and drivers of business performance.
Customer.io's platform is used by over 8,000 companies to send billions of messages every day. They help teams send smarter messages using real-time data and value empathy, transparency, and continuous improvement.
Learn how teams across the business work and identify high-impact opportunities where AI can help.
Partner with stakeholders to define problems clearly, map workflows, and estimate potential value and effort.
Research and evaluate AI tools and approaches for business use cases.
SupplyHouse.com is an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004. They value team members and cultivate a community where people come first, striving to foster growth while providing the best possible experience for their customers.
Deep dive into trends and provide data driven insights to identify risky behavior.
Develop customer and program segmentation frameworks to enable proportionate monitoring.
Create dashboards to monitor performance across relevant metrics and create alerts.
Lithic creates card issuing and payment infrastructure for technology companies. They help some of the world’s fastest-growing digital banks, fintech companies, and software companies process billions in transactions annually.
Serve as a technical expert in building data pipelines for clinical data.
Develop robust data pipelines for integrating heterogeneous data sources.
Design and build infrastructure for optimal data extraction, transformation, and loading (ETL/ELT).
Jobgether is a platform that helps connect job seekers with companies using AI-powered matching. They ensure applications are reviewed quickly, objectively, and fairly against a role's core requirements.
Design, develop, and optimize data architecture and pipelines aligned with ETL/ELT principles.
Architect workflows using DBT to convert raw data into actionable analytics.
Maintain production data pipelines with Python, DBT, Matillion, and Snowflake.
Jobgether is a platform that connects job seekers with partner companies. They use AI-powered matching to ensure applications are reviewed quickly and fairly.
Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
Implementing data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data
Experience with multiple full life-cycle data warehouse implementations
3Cloud focuses on providing Azure-based solutions. They foster a culture of experimentation, candid feedback, and accountability, committed to technical excellence and client experience.
You will assume business ownership for our Data Solutions, e.g., our campaign management system.
You will coordinate the provision of relevant data and attributes with relevant stakeholders and manage the further development of selection and attribute logics.
You will ensure a clean, consistent database for campaigns and identify optimization potential in target group and campaign logics.
Breuninger is a fashion and lifestyle company with 6,500 employees. They operate 13 department stores and online shops in several European countries, offering over 2,000 brands, restaurants, services, and a unique shopping experience.
Build and support non-interactive & real-time, highly available data pipelines.
Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines.
Implement and maintain dbt transformation models, CI pipelines, and data contracts.
Valtech is an experience innovation company that helps brands unlock new value in an increasingly digital world. They blend crafts, categories, and cultures to drive transformation for leading organizations. Their people are the heart of their success, and they foster a workplace where everyone has the support to thrive, grow and innovate.