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The DataOS team at AppsFlyer builds and maintains a high-scale data platform processing over 150 billion events daily using technologies like Spark, Kafka, and AWS. Engineers in this role design data pipelines, manage schema and storage, and ensure the reliability of production-grade data systems.
Senior Data Engineer will own the end-to-end data architecture. You will build and scale high-throughput, low-latency pipelines that handle sensitive financial transactions, fraud detection, risk modeling, and…
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. We are looking for an Infrastructure Data Engineer to join our Cybersecurity Sciences & Analytics (CSA) team ,…
This role is responsible for coordinating the development, enhancement, and innovation of IT, AI, GenAI, Data Analytics, and Data Engineering solutions, ensuring that projects are delivered on time, within budget, and…
Capco is seeking a Senior Data Architect to lead complex data transformation and cloud-based platform initiatives for financial services clients. The role involves defining enterprise data strategies, designing scalable architectures, and integrating data governance and security frameworks.
Data Engineer designing and developing scalable ETL pipelines and data solutions using Azure Databricks, Data Factory, Data Lake, SQL, Python, and PySpark.
This role involves developing financial sector solutions with a focus on Data Lake access and data management using Java, JavaScript, Oracle PL/SQL, and PostgreSQL. The position is 100% remote and requires a senior developer with extensive experience in database management and modern development tools.
Purpose The IT Engineer Senior Data is responsible for designing and developing solutions and interfaces for the Data Platforms and Data Insights teams. This includes various data interfaces to and from databases,…
The AI Data Engineer III will architect and implement data platform solutions, focusing on automating data operations and integrating LLM-augmented capabilities like RAG pipelines. The role involves collaborating with cross-functional teams to build scalable data infrastructure and AI-driven self-service tools for a global mobility platform.
Data Engineer/Data Analyst supporting ledger migration and data clean-up across a data lake, reporting, and downstream feeds in a financial services environment, involving large-scale batch processing, validation, and ETL.
Data Engineer at a London-based buy-side investment firm building and maintaining Python data pipelines (ideally on AWS) that power research, analytics, and trading workflows.
AI Data Engineer building end-to-end Azure data platforms and AI/GenAI data pipelines (RAG, vector search) using Azure Data Factory, Synapse, Fabric, ADLS Gen2, Cosmos DB, Python, and SQL.
Hybrid Data Engineer designing and building data platforms, pipelines, and architecture on Microsoft Fabric, Azure Data Lake, and Azure SQL to support business insights across operations, finance, and commercial functions.
Data Engineer maintaining and modernising data pipelines, databases and integrations for Warwickshire County Council, using SQL, Python, Microsoft Power BI, Git and GIS tools.
Data Engineer designing and building AWS cloud data pipelines, data warehouses, and data lakes using services like EMR, Glue, RedShift and languages such as Python, Java, Scala, Spark, and SQL for a consulting firm serving multiple sectors.
Data Engineer responsible for designing, developing, and maintaining data infrastructure, ETL/ELT processes, and data models using SQL, Python, and tools like Informatica and Talend.
Build and maintain a cloud-based data platform across AWS and GCP for a fintech scale-up, including data lakes, warehouses, orchestration, and MLOps infrastructure using Terraform, Python, Airflow, dbt, and BigQuery.
Data Engineer designing and building scalable data processing platforms on Azure (Databricks, Data Factory, Synapse, Fabric) using SQL, Python, and Spark/PySpark, collaborating with BI and Data Science teams.
GCP Data Engineer consulting on strategic enterprise cloud projects—designing batch and streaming data pipelines, building BigQuery-based Data Lake/Warehouse environments, migrating data with Ab Initio, and automating infrastructure via CI/CD.
Senior GCP Data Engineer designing and optimizing data pipelines and maintaining Data Lake/Data Warehouse environments in BigQuery for enterprise cloud projects, working in a hybrid model in Warsaw.
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