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Analytics Engineer
Analytics Engineer at Acne Studios' Stockholm head office builds trusted, well-documented datasets and transformation pipelines on Databricks using PySpark and SQL, with star-schema dimensional modeling. Their work powers Power BI self-service analytics and consistent company-wide metrics.
Data Analyst/Engineer
Job Summary: We are seeking an experienced Data Analyst / Data Engineer with strong expertise in data analytics, data engineering, SQL, data pipeline development, and business intelligence. The role involves designing…
Senior Data Developer
Company : Hollister Global Business Services India Private Limited Location : Gurugram, Haryana Total Experience : 5-8 years Job Description : Hollister Incorporated is a global, employee-owned healthcare company…
Senior Azure Data Engineer
Contract, work-from-office senior individual contributor who designs, builds, and owns end-to-end Azure data pipelines and platform services for product teams — making architecture decisions and handling performance, cost, security, and mentoring. Core stack: Azure Data Factory, Databricks, Delta Lake, Snowflake, Python, SQL, PySpark.
Commercial Senior Data Engineer
Contract Senior Azure Data Engineer (hybrid, Pimpri, Pune) owning end-to-end data pipelines and platform architecture on Azure using Azure Data Factory, Databricks, Delta Lake, and Snowflake with Python/SQL, plus CI/CD, DevOps/DataOps, and support for analytics, ML, and Generative AI workloads. Budget up to 15 LPA.
Data Engineer / Data Ops .net - confirmé
Au sein de l'équipe Data et en étroite collaboration avec le Head of Data, vous intervenez à la jonction du développement applicatif et de l'ingénierie des données. Votre rôle consiste à concevoir, orchestrer et…
Data Engineer - Hybrid, Scalable Data Pipelines
Data Engineer at insurer Manulife John Hancock in Kuala Lumpur, designing, building, and optimizing scalable data pipelines and platforms that support analytics, BI, and downstream applications. Core stack: SQL, Python, cloud data platforms (AWS/Azure/GCP), and ETL/ELT tools like dbt, Airflow, Fivetran, or Azure Data Factory.
Full-Stack Software Engineer
Data engineer (posted as Full-Stack Software Engineer) at insurer Manulife in Kuala Lumpur, building and optimizing batch and near real-time data pipelines and ELT/ETL workflows for analytics and BI. Core stack: SQL, Python, cloud data platforms (AWS/Azure/GCP), warehouses like Snowflake/BigQuery, and tools such as dbt and Airflow.
Full-Stack Software Engineer
Data engineer role (posted under a full-stack title) at Manulife/John Hancock in Kuala Lumpur: build and optimize batch/near real-time data pipelines and ELT/ETL workflows to power analytics and reporting, using SQL, Python, cloud data platforms (AWS/Azure/GCP), warehouses like Snowflake/BigQuery, and tools such as dbt and Airflow. Hybrid arrangement.
Software Engineer
Builds and enhances C#/.NET backend applications, REST APIs and microservices for an industrial/manufacturing automation project, plus end-to-end ETL data pipelines in an Agile team. Core stack: C#/.NET Core, SQL, Python, Azure cloud, with optional AI/LLM tooling.
Data Engineer
Data Engineer on Lean Solutions Group's Performance Management & BI team, building and maintaining data pipelines and lakehouse architecture in Microsoft Fabric, integrating data from CRMs, APIs, and SaaS apps, and powering Power BI reporting and analytics. Remote, full-time role aligned with U.S. business hours.
Senior Data Engineer — Hybrid Cloud Pipelines
Senior Data Engineer at Methods in Gloucester, a permanent role working partly on client sites to build and manage data pipelines, storage, and workflows in hybrid cloud environments. Core tech: Python, Azure Data Factory, and event streaming with Kafka.
Data Engineer
Get AI-powered advice on this job and more exclusive features. This range is provided by Digital Waffle. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay…
Senior Azure data Engineer-Immediate
Designs, builds, and optimizes scalable data pipelines and ETL/ELT solutions on Azure, working with Microsoft Fabric (Lakehouse/Warehouse), Synapse, Data Factory, and Azure SQL. Uses Python/PySpark, dimensional modeling, and CI/CD via Azure DevOps, with focus on performance tuning and data governance.
Engineering Manager - Applied AI
Job Summary : We are looking for an Engineering Manager, D&T, Applied AI to lead the design, build, and scale-out of AI-powered digital products and platforms across the enterprise. This leader will combine strong…
Junior Data Engineer: SQL, Azure & Power BI (Hybrid)
Junior Data Engineer hired via HiTech Personnel for a Federal Government agency on a 6-month contract (extensions possible), hybrid in Canberra or Melbourne. Day to day: securely ingesting, preparing and transforming vendor data for reporting and analysis using SQL, Azure Data Factory, Microsoft Fabric and Power BI.
Junior Data Engineer
Junior Data Engineer on Accent Group's internal retail Data team in Sydney: writing and optimising SQL, building Azure Data Factory pipelines, and supporting Databricks data processing and transformations that power reporting and analytics, while learning Azure data platform skills from senior engineers.
Data Engineer
ITC Infotech is hiring an Azure Data Factory (ADF) Developer in Bengaluru to design, build, and maintain ETL/ELT data pipelines and integration workflows. Core tech: Azure Data Factory, ADLS, Synapse, Azure SQL, and strong SQL, with Databricks/PySpark/Python as a plus, plus pipeline monitoring and production support.
Senior Data Solutions Engineer
Senior data solutions engineer in Johannesburg wrangling enterprise big data into pipelines, modern data warehouses, and advanced analytics using ML/AI, with dashboards in Power BI and related tools across Azure, AWS, and GCP. Hybrid role (2-3 office days/week) requiring 6+ years of data engineering experience, SQL/Python/Scala, and a relevant degree.
Intermediate Data Solutions Engineer
Intermediate data solutions engineer in Johannesburg (hybrid, 2-3 office days) wrangling big data from multiple sources into reliable assets, building data pipelines, and delivering advanced analytics with ML/AI plus business dashboards for enterprise clients. Stack spans Azure/AWS/GCP, SQL/Python/Scala, Airflow, Databricks, Kafka and BI tools.