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Designs and builds scalable cloud-based data pipelines, warehouses, and transformations using Snowflake, DBT, and ETL tools to support analytics and business intelligence.
The Senior Data Engineer will design and deliver end-to-end data products on the Databricks platform, managing everything from data ingestion and modeling to building APIs and user-facing applications. This role requires strong expertise in Python, SQL, and streaming technologies to create scalable, secure, and reliable data solutions.
Senior Data Engineer building near real-time analytics and streaming platform solutions on AWS (Kinesis, Kafka, Flink, Redshift) using Scala/Python/SQL for a cloud communications SaaS company.
Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC – Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any…
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.
Senior Backend Engineer building and maintaining integrations for a supply chain visibility platform, working with Java microservices, Kafka/Kinesis stream processing, and multi-cloud infrastructure (AWS/GCP).
Overview About Nortal: We’re Nortal. We think big and create cutting-edge digital solutions with a global reach. And with 25 years of experience, 2,700+ professional experts, and half a billion people worldwide…
Lead Data Engineer owning the architecture, scalability, and technical direction of Amtech's Cloud Data Platform—designing data warehouses, ETL/ELT pipelines, tenant data stores, and feature stores that power analytics and AI agent initiatives using cloud platforms (AWS/Azure/GCP), big data frameworks (Spark, Kafka), and warehousing tools (Snowflake/Redshift/BigQuery).
Lead/Senior Data Engineer designing and managing enterprise-scale data platforms across Azure and AWS, building ETL/ELT pipelines, lakehouse architectures, and Snowflake data warehouses using Databricks, Delta Lake, PySpark, and SQL.
Architect and build dimensional and Lakehouse data models, plus robust ETL/ELT pipelines, using Databricks or Snowflake, PySpark, SQL, and Azure/AWS cloud services.
Data Engineering Consultant at Infosys Consulting, designing and developing data pipelines using Python/PySpark on AWS within the Automation & AI Consulting Practice, collaborating with AI consultants and stakeholders across client engagements.
Design and develop real-time data pipelines and scalable data processing solutions on AWS using Kafka, Spark, and AWS Kinesis.
Senior Data Engineer building real-time data ingestion/processing pipelines and large-scale enterprise data solutions using PySpark, Python, Airflow, SQL, and AWS big data services.
Lead and hands-on build data & analytics solutions using Databricks, Informatica, and Tableau on AWS for Eisai's global pharmaceutical data platform, driving BI, AI, and data democratization.
Lead Data Engineer architecting cloud-native data platforms (data lakes, lakehouses, warehouses) for PE portfolio companies, using tools like Databricks, Snowflake, Azure Synapse, dbt, and AI tooling to build AI-ready analytics infrastructure.
Senior Data Engineer designing and building cloud-native data platforms (Snowflake, Databricks, BigQuery, etc.) with ELT/ETL pipelines, CI/CD, and AI-ready infrastructure for a financial consulting firm serving private equity portfolio companies.
AWS Data Engineer at TCS responsible for designing, building, and optimizing scalable data pipelines and analytics solutions on AWS using services like Glue, S3, EMR, Redshift, Databricks, and PySpark.
Postgres/SQL Data Engineer building scalable database queries, ETL/ELT pipelines, stored procedures, and DAX calculations using PostgreSQL, SQL, and Power Query.
Databricks-focused Data Engineer/Solution Architect embedded in client teams to architect, build, and optimize enterprise Databricks Lakehouse platforms using Medallion Architecture, Spark, Delta Live Tables, Unity Catalog, and CI/CD pipelines across multiple concurrent engagements.
Senior Data Engineer leading the re-engineering and validation of an existing Azure Synapse enterprise data platform and driving its migration to Databricks, focused on reverse-engineering complex pipelines, ensuring data governance, and implementing lakehouse architectures.
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