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Design and govern HR data models and lead migration of the HR Warehouse to an enterprise Lakehouse (Azure Databricks, Delta Lake), partnering with data engineering and HR stakeholders to establish trusted, well-structured HR data for reporting and analytics.
Design and implement data fabric architecture across heterogeneous data sources and platforms Develop scalable ETL/ELT pipelines for batch and real-time data integration Integrate structured and unstructured data from…
Hands-on Senior Cloud Data Engineer designing and building GCP infrastructure and data solutions using Terraform, BigQuery, and dbt/Dataform for a New Zealand grocery retail cooperative.
Data Engineer designing and building scalable cloud-based data pipelines, ETL processes, and data infrastructure using SQL, PySpark, and Databricks within JLL's Enterprise Data team.
Lead end-to-end data engineering projects for a media business, designing scalable data lakes, customer data platforms, and AI-powered analytics solutions using SQL, Apache Spark, and Python or Scala.
Design and build AWS-based data architectures—S3 data lakes, Glue ETL pipelines, Redshift/Snowflake/Databricks warehouses, and RAG-powered AI systems—across diverse client engagements, with mentoring and architecture presentation responsibilities.
Hands-on Data Engineer building scalable analytics and AI-enabled data solutions on Snowflake and Azure using Python, dbt, and CI/CD for an asset management firm.
Senior Data Engineer responsible for designing and building scalable data pipelines and platforms using Snowflake and GCP, leading data migration initiatives, and managing metadata-driven architectures with a focus on documentation and governance.
The Analytics Engineer will design and maintain dbt models on BigQuery to transform raw data into trusted datasets for analytics and ML. This role involves ensuring data quality, collaborating with stakeholders, and optimizing data pipelines within a fintech environment.
Data Engineer designing and building ETL/ELT pipelines and a corporate data warehouse, extracting and consolidating data from SAP ECC6 (HANA 2) and Epicor Kinetic (SQL Server 2019) for BI reporting.
Freelance Data Engineer in Indonesia responsible for designing, building, and maintaining a scalable ClickHouse-based data warehouse, including ETL/ELT pipelines, data modeling, SQL optimization, and integrating with Metabase BI tools.
This Data Engineer role involves developing ETL/ELT pipelines and data models within a financial services environment using Snowflake, Azure, and Python. The position requires expertise in dimensional modeling, dbt, and modern CI/CD practices.
The Analytics Engineer will build and maintain data pipelines using dbt, Python, and Airflow while developing Power BI dashboards and data models. The role requires extensive experience in SQL, cloud data warehousing, and dimensional modeling to support business reporting and data quality.
Designs and maintains scalable data infrastructure (data lakes, pipelines, feature stores) to enable AI-driven media analytics, audience intelligence, and business decision-making for a media company.
Data Engineer - Fabric - Bury - £55k I'm recruiting for a Data Engineer to join a brand-new data team in Bury, working on a greenfield project using Microsoft Fabric. You'll be helping build out the…
IntaPeople are seeking an experienced Data Engineer to join one of their financial services focussed clients based in South Wales. This role is critical to transforming a reporting-led organisation into a proactive,…
Builds and optimizes data pipelines to stabilize enterprise systems, improve reporting accuracy, and establish scalable data foundations for clients. Focuses on ETL/ELT, data quality, cloud platforms, and collaboration with stakeholders to drive data-driven decision-making.
Build and optimize a Microsoft Fabric-based data warehouse using Kimball methodology, migrating from Azure Data Factory to support analytics and reporting in a data-driven SaaS business.
Lead data pipelines and platform architecture for a retail brand, designing scalable solutions, setting engineering standards, and mentoring engineers while collaborating with stakeholders to deliver high-quality data solutions.
Lead data engineer at an accounting firm, designing and delivering scalable data pipelines into BigQuery using GCP tools (Cloud Composer/Airflow, dbt, Terraform) and enabling reporting, automation and AI across the business.
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