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Build and own the data backbone for a headless ecommerce SaaS platform, transforming raw transactional data into scalable pipelines and APIs that power real-time dashboards for 300+ fashion brands.
Build and maintain scalable data pipelines and modern data platforms (Snowflake, cloud) to support analytics and AI use cases for international clients.
Build and scale a high-throughput data pipeline for Allegro’s 5B daily clickstream events using Scala, Spark, Kafka, and GCP services like Dataflow and BigQuery.
Data Engineer / Ingestion Specialist builds and maintains pipelines to move data from source systems into a central platform, using Azure DevOps and ETL/API tools while coordinating with cross-functional teams.
Build and maintain data pipelines, AI models, and transformations using GCP, Dataiku, Python, and SQL to turn raw data into business insights for enterprise clients.
Senior Data Engineer builds and scales data pipelines for Tesco’s fulfillment operations, optimizing order and delivery data to improve logistics and delivery efficiency using Spark, Hive, and Airflow.
Build and own the data platform for an AI-powered SaaS finance product, designing Snowflake pipelines, Power BI analytics, and AI-driven development workflows to deliver trusted insights for enterprise customers.
Builds and maintains scalable data pipelines using PySpark, Databricks, and Azure to process and transform data for reliable business insights.
Build and maintain scalable ETL pipelines and data models using Spark, Scala, and cloud storage, then deliver clean data to analytics teams via BI tools like Databricks and Power BI.
Senior Data Engineer builds and secures scalable data pipelines and platforms for a wealth-management fintech, ensuring reliable analytics and regulatory compliance.
Builds and maintains data pipelines on a modern Lakehouse and AI platform for a global investment bank, focusing on ingestion, transformation, and data quality.
Senior Data Engineer builds and optimizes large-scale ETL/ELT pipelines using Python, PySpark, SQL, and AWS services to deliver reliable, high-performance data solutions for global clients.
Design and maintain scalable, event-driven data systems for a large marketplace ecosystem using Kafka, CDC, and cloud data platforms like BigQuery or Snowflake.
Design and build scalable ETL pipelines and data models using Spark, Scala, and cloud storage (AWS S3, Hive) to support analytics and BI tools like Databricks and Power BI.
Builds and maintains scalable data pipelines for an automotive sales client using Azure Databricks, Python, and Synapse/IICS to support business processes and integrations.
Lead a team to design and build scalable data pipelines using Spark/Scala, Airflow, and cloud platforms, while mentoring engineers and ensuring regulatory compliance.
Lead a team building and optimizing scalable ETL/ELT pipelines in Python using Hadoop, Spark and Splunk to deliver reliable data for HR analytics and reporting.
Builds and maintains automated pipelines to extract, normalize, and validate financial data from SEC EDGAR XBRL filings for modeling and analytics using Python.
Builds and maintains data pipelines and transformations using Python, PySpark, and notebooks for a new UK-focused data product.
Build and maintain backend services and data integrations for a ticketing platform serving sports, concerts, and live events using Go/Python, AWS serverless, and modern data pipelines.
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