Data Engineer - Advanced Analytics

Introduction
In this role you’ll work in one of our IBM Consulting Client Innovation Centers where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world.​ Our centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your Role and Responsibilities
We are seeking a highly skilled Data Engineer with expertise in advanced analytics and a strong understanding of Generative AI (GenAI). In this role you will design develop and optimize scalable data pipelines integrate GenAI technologies into analytics workflows and support the deployment of machine learning models. You will collaborate closely with data scientists and cross-functional teams to ensure seamless data integration and drive innovation through cutting-edge AI solutions.

If you have any questions about the position please feel free to contact Talent Acquisition Partner Haineto F. Smeding at [email protected] . Please note that we invite interviews on an ongoing basis and may choose to close recruitment once we have found the right match. Once you have clicked ‘apply now’ you can upload your CV. Then the recruitment process begins.

Required Technical and Professional Expertise

• At least 3+ years of work experience in Data Engineering and analytics

• Experience with SQL and Python

• Experience with data ingestion tools such as Azure Data Factory AWS Glue or Airflow

• Experience with data processing tools such as Databricks Spark EMR

• Solid understanding of storage formats and types

• Experience with SQL and Python

Preferred Technical and Professional Expertise

• Certified in Azure

• Experience in orchestration technologies (OpenShift Kubernetes)

• Understanding of Data Modelling Metadata Management and Data Warehousing

• Experience in the latest Lakehouse technologies such as Snowflake Delta Lake and Synapse

• Experience in Google Cloud Platform