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Build and maintain the bank’s central analytics platform, optimizing Exasol/Starburst databases and Kubernetes-based data lakes to deliver reliable data services for internal and external finance partners.
Owns go-to-market strategy and campaigns for DoiT’s data platform optimization business, targeting Snowflake and data-lake workloads to drive pipeline and revenue.
Build and maintain scalable data pipelines, integrate diverse data sources, and support analytics teams with ETL processes and statistical analysis using Python/R and cloud tools.
Build and optimize robust data pipelines and Big Data architectures using Python, Spark/Scala, SQL/NoSQL, and cloud platforms to ensure reliable data availability for analytics and decision-making.
Build and maintain scalable data pipelines, integrate and transform data sources, and optimize batch/real-time processing for analytics and reporting.
Lead a team building and scaling Azure-based data pipelines and AI-ready data models for a large ecommerce retailer using PySpark, Databricks, and Data Factory.
Senior Data Engineer builds and optimizes cloud-based data pipelines for clients in energy, transport, finance, and healthcare, using Spark, Kafka, and cloud platforms like Azure/GCP.
Build and maintain ETL/ELT pipelines, model data warehouses/lakes, and advise clients on data strategy using Python, DBT, and cloud platforms like Snowflake.
Build and optimise Azure data pipelines (ADF, Databricks), migrate data into Azure Data Lake, and ensure data quality and governance in a global organisation.
Design and build cloud-based data pipelines and integrations to feed a Knowledge Graph platform using Microsoft Fabric or equivalent, with C#/.NET or Python and PySpark.
Builds, tests, and operates cloud-based backend services for a large food-tech platform, focusing on scalability, resilience, and performance in AWS.
Builds, tests, and operates cloud-based backend services (AWS) in Java/Kotlin/Rust, focusing on scalability, resilience, and performance monitoring for a large-scale food-tech platform.
Senior Manager, Data Engineering at Farther builds and scales the data platform for a modern wealth-management firm, owning custodial pipelines, security master, and AI-ready data products in PostgreSQL, AWS, and Python.
Design and maintain Azure-based security data pipelines and analytics platforms to centralize visibility across EY’s cloud and on-prem environments, using Data Factory, Databricks, and SQL.
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and AI-enabled solutions using Snowflake, Python, and Azure, delivering analytics and ML workflows for enterprise clients.
Design and maintain Azure-based security data pipelines and analytics platforms to centralize visibility across EY’s multi-cloud and on-premises environments using Azure Data Factory, Databricks, and SQL.
Build and maintain ETL/ELT pipelines in Python and SQL on AWS, optimizing cloud data lakes/lakehouses for performance and cost while collaborating with AI teams to productionize ML prototypes.
Senior Data Engineer builds and owns Preply’s scalable data lake and ingestion pipelines, ensuring trusted, production-grade data for analytics, ML, and product features across 180 countries.
Senior Data Engineer designs cloud-scale data models, optimizes Data Lake and Warehouse, and collaborates with analysts to deliver business value using Python/Java, SQL, and cloud tools like AWS.
Lead a team building and optimizing a real-time marketing analytics pipeline using AWS, Airflow, and S3-backed data lakes, ensuring high-volume ETL and data quality.
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