Founded in 1994 and headquartered in Switzerland, ERNI is a leading Software Development company with over 800 employees worldwide. Specializing in IT and software engineering, we drive innovation in process and technology. Our first service center
Founded in 1994 and headquartered in Switzerland, ERNI is a leading Software Development company with over 800 employees worldwide. Specializing in IT and software engineering, we drive innovation in process and technology. Our first service center
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your
Founded in 1994 and headquartered in Switzerland, ERNI is a leading Software Development company with over 800 employees worldwide. Specializing in IT and software engineering, we drive innovation in process and technology. Our first service center
Title: Cloud (Data Engineer) Consultant Level based in Deloitte Consulting Philippines Delivery Center Are you ready to unleash your potential? At Deloitte, our purpose is to make an impact that matters for our clients, our people,
YOUR OPPORTUNITY This role will be responsible for building and enhancing data solutions that power analytics, reporting, and operational insights across the Bacardi organization. You will work hands on with the Azure data ecosystem—including Azure Data
We are looking for a Data Engineer to join the Global Technology team at MGS, supporting the design, development, and operation of enterprise data platforms across GWAM. This role is primarily focused on building and modernizing
Work ScheduleStandard (Mon-Fri) Environmental ConditionsOffice Job Description Summarized Purpose: We are offering an opportunity for a Mid-Level Data Engineer to design, build, test, tune, and support production data pipelines using PySpark, Python, advanced SQL, AWS data services, secure
Key Responsibilities Design, build, and maintain scalable data pipelines that extract, transform, and load data from multiple sources into centralized platforms such as data warehouses, lakehouses, and operational databases. Develop and manage end-to-end data workflows using
Key Responsibilities: Architect, write, and optimize automated Python ETL/ELT scripts and SQL queries for multi-source data extraction. Design clean data models (Star/Snowflake Schema) that power high-performance Power BI reports. Eliminate manual reporting tasks by building end-to-end automated
If you love data platforms, dashboards, and the occasional noble battle with messy source systems, this one is for you. We are looking for a Senior Data & Business Intelligence Specialist who can turn spreadsheets, APIs,
What is your mission? We are looking for a highly experienced Principal Marketing Analyst to lead executive-level marketing analytics initiatives, design measurement methodologies, and deliver data-driven insights that influence business decisions. The role will own marketing
About GoTymeX GoTymeX is the product, technology and data analytics hub of GoTyme Group. At GoTymeX, were reimagining digital banking across emerging markets, across South Africa and Asia. Our mission is to unlock human potential, and
Work ScheduleOther Environmental ConditionsOffice Job Description Summarized Purpose: We are seeking a Lead Data Engineer to own the complete lifecycle of enterprise data pipelines from development to production, including roadmap planning, scalable ETL architecture, AWS data
Job Summary We are looking for a Senior Data Engineer to lead the design, development, and optimization of scalable data platforms and pipelines. This role is hands-on and requires strong experience with Databricks, Python (Spark), SQL, and
Qualifications: 1. Designs and builds data storage solutions including database objects and data structures, data ingestion pipelines 2. Develops data transformation, cleansing, and preparation processes. 3. Perform job optimization/automation via code enhancement, configuration, or implementation of
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate