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Senior backend engineer at Coupang building and scaling core member/authentication/data platforms that power the company’s global e-commerce operations using Java/Kotlin and cloud-native technologies.
The Senior Data Engineer will lead the architecture and development of scalable, AI-first data products to support HackerOne's enterprise transformation. The role involves building data pipelines, mentoring engineers, and collaborating across teams to modernize data infrastructure using tools like Python, Snowflake, and AWS.
Designs and maintains scalable data pipelines and warehouses, building ETL processes in cloud/on-prem environments to support analytics and business intelligence.
Designs, builds, and maintains scalable AWS-based data pipelines and ELT workflows, ensuring reliability, performance, and collaboration with cross-functional teams.
Builds scalable data pipelines and frameworks for ingestion, processing, and storage, ensuring system correctness, performance, and adherence to best practices like automation testing and monitoring. Works with big data tools like Spark, Kafka, and Hive to solve business questions and maintain workflows.
Senior Data Analyst/Engineer for an automotive client, designing dashboards and KPIs for manufacturing/quality/R&D teams while building and maintaining ETL/ELT pipelines using SQL, Python, Power BI, Databricks, and Azure data services.
Build data pipelines and expert Power BI dashboards for banking, insurance, industry, and public sector clients in Suisse Romande, using SQL, dbt, Microsoft Fabric, Databricks, Snowflake, and Azure.
Build and maintain data pipelines, warehouses, and reporting systems for a GovTech platform serving government agencies and residents.
The Sales Data Analyst will support the Business Development function by tracking and analyzing key sales metrics, managing data marts, and providing actionable insights to stakeholders. The role requires advanced SQL, data visualization, and data pipeline automation skills to drive data-informed decision-making.
Builds analytical solutions and data pipelines to transform business needs into actionable insights, focusing on data quality, KPIs, and ML models using Databricks, PySpark, and SQL.
Develops a sovereign cloud-based Data & AI platform, extending system architecture, integrating open-source projects, and building REST APIs/Kubernetes operators for customer service lifecycle control. Core tech: Go, Kubernetes, cloud, Kafka, Spark, Airflow, Dremio.
A freelance Data Engineering consultant leads end-to-end project phases (requirements, analysis, migration, Go-Live) for international cloud-based data solutions, focusing on AWS, PySpark, Python, SQL, and Airflow pipelines while ensuring data quality and reliability.
Designs and maintains scalable data pipelines on Azure, automating ingestion, cleansing, and transformation while ensuring data quality and security for an international project.
Senior Data Engineer designing and building large-scale Spark-based data pipelines on AWS for analytics, ML, and reporting at Santander's Open Digital Services in Madrid.
Build and deploy agentic workflows for data engineering teams, enabling AI-assisted modeling, pipeline automation, and analytics while driving adoption across HR-tech product engineering.
Data Engineer designing and building data pipelines with PySpark, Python, SQL, and AWS, orchestrated via Airflow and containerized with Docker/ECS, based on-site in Madrid for a 12-month contract.
Builds and maintains data pipelines (Airflow, ETL) for a pharma loyalty-tech firm, integrating real-time pharmacy sales data with AI/ML to drive predictive insights and personalized promotions.
Builds and maintains scalable cloud data infrastructure and pipelines for a fintech company using AWS, Kubernetes, and data tools.
Data Engineer building scalable, secure data storage and database platform solutions on AWS using Docker, Kubernetes, Terraform, dbt, and Airflow within N26's Platform Engineering team.
Senior Backend Spark Developer designing and optimizing Big Data pipelines on Azure Databricks using Apache Spark (Scala/Python) and SQL within a multinational digital technology services company.
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