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Data Engineer working on data analysis, visualization, and building scalable data pipelines using Talend and BI tools; develops complex SQL queries and translates business needs into robust data solutions.
The Snowflake Data Engineer will build and maintain cloud-native data ingestion and ELT pipelines on AWS and Snowflake. The role involves collaborating with cross-functional teams to develop and deploy production-ready data solutions and dimensional models.
Mid-level data engineer on a 12-month contract designing and maintaining data pipelines and integration solutions for a Client Reporting / Investment Technology project, including BAU and production support.
Data engineer building pipelines, ETL/ELT flows, and semantic layers for an Enterprise Datahub using Databricks, SQL, and BI tools.
Design and deliver large-scale cloud-native data pipelines, build REST/gRPC APIs and AI-driven interfaces, and own reliability and cost efficiency for millions of concurrent workloads.
Data Engineer supporting enterprise data migration and reporting transformation for a bank, using SQL, Hive, Impala, and Hadoop ecosystem tools for source-to-target mapping and ETL development.
The Reporting & Analytics Developer / Data Engineer designs and maintains data pipelines, builds dashboards, and develops analytical solutions using tools like Cloudera, Python, PySpark, and Informatica. The role involves collaborating with business teams to translate requirements into technical solutions while leveraging AI tools to improve development productivity.
The Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and data platforms to support business intelligence and machine learning initiatives. The role requires proficiency in SQL, Python, and ETL tools to ensure data integrity and system performance.
Luma AI is hiring a Data Engineer in Singapore to build and maintain large-scale data pipelines and infrastructure for training multimodal AI models. The role involves optimizing data flow to GPU clusters and collaborating with global research teams.
The Data Engineer will design, build, and maintain data ingestion and transformation pipelines using AWS and Databricks. The role involves collaborating with cross-functional teams to deliver high-quality, production-ready datasets.
The Master Data Engineer will design and maintain MDM solutions to ensure data integrity and collaborate with engineering teams to integrate machine applications for automation in a semiconductor fab.
The Power BI Architect & Data Engineer will design data transformations, build BI pipelines, and develop interactive dashboards using Power BI. The role involves collaborating with stakeholders to implement secure reporting solutions and translate business requirements into actionable data insights.
Senior Data Engineer designing end-to-end document parsing pipelines, OCR/VLM systems, embedding models, and RAG knowledge bases on cloud platforms, using Kafka, LangChain, PyMuPDF, and Databricks, with CI/CD and collaboration with senior engineers.
Senior data engineer designing and running production-grade ETL/ELT pipelines with PySpark, managing a lakehouse architecture across raw/curated/consumption layers, and deploying with Kubernetes and Docker in on-prem environments.
The Snowflake Data Engineer will design and maintain data ingestion pipelines and build dimensional data models using AWS and Snowflake. The role involves end-to-end ownership of data solutions, from development and testing to production deployment and operational support.
The Data Engineer will design and maintain data pipelines and infrastructure, utilizing cloud platforms like AWS and Google Cloud. The role requires at least four years of experience in data engineering and familiarity with ETL processes and database management.
Data Engineer building data warehouse and data management systems using SQL, major public clouds (AWS, GCP, Azure), and their data warehouses (Redshift, Synapse, BigQuery, Snowflake) along with orchestration tools like Airflow/Dagster.
A graduate-level data consultant role in York, working on-site to build dashboards and analyses for clients while receiving mentoring and industry accreditations through an Accelerated Development Programme.
Graduate Data Consultant placed on-site with a client in York, analysing datasets, building dashboards and reports, supporting data pipelines, and communicating insights as part of Grayce's Accelerated Development Programme.
Senior Analytics Engineer leading data modelling in a Lakehouse environment, translating business requirements into SQL and PySpark transformations, owning the data serving layer, mentoring team members, and ensuring data quality and governance across the platform.
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