Own the technical architecture of data systems and pipelines that ingest and transform massive hospitality data volumes.
Map out current architecture, design future state, and set standards for data engineering at scale.
Embed AI strategy into integrations architecture and collaborate across teams to drive technical excellence.
Lighthouse is a hospitality AI platform that revolutionizes commercial strategy by transforming the world's largest hotel data network into real-time intelligence. With 850+ teammates across 35 countries and $370M in Series C funding, we foster a collaborative, innovative culture focused on customer success.
Develop and maintain scalable, resilient data pipelines using PySpark and distributed processing frameworks.
Modernize legacy processes and design data solutions on AWS, building data products and complex transformations.
Support data quality and optimization initiatives, collaborating with stakeholders to translate requirements into technical solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It focuses on efficiency and fairness in recruitment, promoting diversity and inclusion in the workplace.
Turning complex business questions into structured analytical solutions and actionable recommendations.
Developing robust reporting and visualisations that drive business understanding and decision-making.
Analysing customer, commercial, and marketing performance data to identify growth opportunities.
Inspiring Vet Care is a leading veterinary services provider in Europe and North America with over 2,500 clinics and 41,000 employees across 20 countries. They champion the long-term health and welfare of animals, supporting around 25,000 animals daily with a culture of innovation and data-driven insight.
Design and maintain robust ETL/ELT pipelines using Azure and Databricks.
Collaborate with business and data science teams to operationalize AI/ML models.
Implement CI/CD practices, data governance, and quality controls.
The hiring company is a technology-driven organization focused on building scalable data ecosystems in a cloud-first environment. It fosters a collaborative culture with emphasis on innovation, continuous learning, and inclusive practices.
Lead and mentor a team of Data Engineers, driving technical excellence and engineering best practices.
Own end-to-end architecture and design of the data platform, ensuring scalability and reliability.
Define and drive data migration strategies from Snowflake and SSIS to Azure Databricks and DBT.
Coforge is a global digital services and solutions provider specializing in data engineering and cloud transformation. With over 20,000 employees, it fosters a culture of innovation, collaboration, and technical excellence.
Design and maintain DBT models on Azure Databricks using Delta Lake and Medallion Architecture.
Leverage AI-assisted development tools for model generation, refactoring, and testing.
Enforce data contracts, governance standards, and data observability practices.
Coforge is a global IT services company specializing in digital transformation solutions. They have a large workforce and prioritize a collaborative, skills-based culture.
Own end-to-end delivery of data pipelines and data products from design through deployment and production support.
Develop and optimize scalable data pipelines using Azure Databricks, DBT, and Python.
Support large-scale data migrations from Snowflake to Azure Databricks and manage infrastructure with Terraform.
Coforge is a global IT solutions company that provides digital services and solutions to enterprises. They employ thousands of professionals worldwide and focus on innovation and collaboration.
Design, build, and integrate AI/ML capabilities supporting mission workflows in secure government cloud environments using FedRAMP-authorized AWS GovCloud services.
Develop production-quality AI/ML applications and supporting services using Python, applying standard engineering practices such as source control, automated testing, and CI/CD.
Implement Generative AI and Retrieval-Augmented Generation (RAG) patterns, including document ingestion, embedding generation, retrieval, and model inference.
True Zero Technologies is a veteran-owned small business specializing in security resilience and technology services, focused on enabling people and technology to deliver top-tier outcomes. The company has been recognized as a Best Places to Work honoree and an Inc. 5000 fastest-growing company, with a people-first culture.
Collaborate with cross-functional partners on product and business problems to drive strategy through data.
Apply quantitative analysis and experimentation to develop hypotheses and influence product roadmaps.
Use storytelling techniques to communicate insights to leadership teams and shape company decisions.
Atlassian provides software products that help teams collaborate and solve problems together. Our culture values diversity and inclusion, and we support our employees with flexibility in where they work.
Design and implement a petabyte-scale AWS data platform using advanced engineering and cloud-native practices.
Build and optimize highly scalable data pipelines using JVM languages, Spark, and Python for production-ready data processing.
Act as a principal-level technical leader, mentoring engineers and driving architectural decisions to guide platform evolution.
Experian is a global data and technology company that powers opportunities for people and businesses around the world. With 25,200 employees across 32 countries, they have a people-centric, inclusive culture recognized as a World's Best Workplace.