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Senior Data Engineer: Build Scalable Data Pipelines
Design and maintain scalable data pipelines, warehouses, and APIs to power data-driven applications using cloud and big-data tools.
Data Engineer
Build and maintain a Databricks-based data platform for a healthcare analytics system, migrating legacy pipelines to Delta Lake and ensuring 99.9% uptime with real-time streaming for clinical monitoring.
Principal Software Engineer - DevOps / Site Reliability Engineer
Principal DevOps/SRE engineer to own and scale the operational foundations for Riot’s AI Efficiency platform, ensuring reliable, secure, and scalable production systems for AI-native workflows.
Senior Backend Engineer - Asian Timezones
Build and maintain high-performance, low-latency backend systems in Go to power real-time trading and data pipelines for a proprietary trading firm.
Graduate Data Scientist - Remote AI, Analytics & Pipelines
Builds and optimizes data pipelines to enable AI-driven analytics, collaborating with engineers to validate data and empower product teams with scalable insights for faster decision-making.
Data Platforms - Lead QA Engineer
Lead QA Engineer building and maintaining automated test frameworks for data pipelines, ETL, and backend systems using Python, Pytest, and Databricks.
Junior Data Engineer Intern - Hybrid, Cloud & AI Training
Build and maintain cloud-based data pipelines and analytics solutions while learning from EY mentors in a structured internship program.
Data QA Engineer
Designs and runs tests for data pipelines and Snowflake data warehouse to ensure accuracy and consistency of enterprise data platforms.
Data QA Engineer - Data Integrity & Snowflake Expert
Designs and runs tests for data pipelines and validates Snowflake data warehouses to ensure enterprise data accuracy and reliability.
GCP Data Engineer: BigQuery, Airflow & CI/CD
Builds and maintains scalable data pipelines on Google Cloud Platform using BigQuery and Airflow, integrating diverse data sources, implementing CI/CD, and collaborating with analytics/product teams to ensure high-quality data solutions.
Senior Big Data Engineer: Spark & Scala for Finance
Build and maintain large-scale data pipelines using Spark, Scala/Java, and Python for financial data processing across global teams.
GenAI Data Engineer: Spark, Python/Java, Cloud-Native
Senior Data Engineer builds and optimizes scalable GenAI data pipelines using Python/Java, Spark, Databricks, and Snowflake in a fast-paced Warsaw team.
Remote Data Analytics Engineer - Build Pipelines & Dashboards
Build and maintain data pipelines, optimize SQL queries, and create dashboards in Looker Studio to support data-driven decisions for an adtech company.
Data Engineer – AI, Java, Python, Spark
Build and optimize scalable data pipelines and cloud-native services using Python/Java, Spark, and Kubernetes to power GenAI applications and LLM workflows.
Senior Azure Databricks Data Engineer - Real-Time Pipelines
Designs and builds scalable Azure Databricks pipelines and real-time streaming solutions for cloud data infrastructure, collaborating with engineers and business teams.
GCP Data Engineer: BigQuery & Airflow Pipelines
Designs and maintains scalable GCP data pipelines, focusing on BigQuery modeling and Airflow/Cloud Composer orchestration with CI/CD and IaC.
Data Engineer
Build and optimize data pipelines for a UK automotive marketing platform, migrating legacy systems to modern cloud warehouses (Redshift/Snowflake) using dbt, Python, and Airflow.
Senior Data Engineer: Lead Scalable Data Pipelines
Leads scalable data pipelines and platform initiatives, translating business needs into technical solutions using Python, SQL, and Databricks, while mentoring engineers and driving CI/CD practices.
Data Engineer: Modern Pipelines & Cloud Data Warehouse
Builds and maintains cloud data pipelines and warehouses for marketing analytics using dbt, Redshift, and Python, ensuring reliable data operations in fintech.
Senior Data Engineer
Design and build scalable data pipelines, warehouses, and lakes using Python, SQL, Spark, and cloud platforms to power analytics and decision-making.