3 of 3 Data Pipeline Jobs in Worcester

Data Engineer II - QuantumBlack, AI by McKinsey

Hiring Organisation
Appcast
Location
Worcester, Worcestershire, UK
QUALIFICATIONSDegree in Computer Science, Engineering, Mathematics, or equivalent experience2–5+ years of professional experience in building and deploying data solutionsStrong coding skills in Python, Scala, or Java, with the ability to write clean, maintainable, and scalable codeProven experience in building and maintaining production-grade data pipelines … experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.WHAT YOU'LL DOAs a Data Engineer II, you will design scalable data pipelines, manage secure data environments, and prepare data for advanced analytics ...

Databricks Data Architect & Lead Data Engineer (Hybrid)

Location
Worcester, England, United Kingdom
Hewett Recruitment in Worcester is seeking a Data Architect/Lead Data Engineer to shape data architecture while delivering hands-on engineering. You will work across cloud data platforms including Databricks, building data pipelines, governance and analytics capabilities. The role … blends architectural leadership with practical delivery across data products and platforms. Ideal candidates will have extensive Databricks experience, advanced data modelling skills, and proficiency in Python, #J-18808-Ljbffr ...

Data Annotation & Tooling Engineer

Hiring Organisation
Your Tech Future
Location
Worcester, England, United Kingdom
Data Annotation & Tooling Engineer Location: Remote (UK) Salary: DOE About the Role We're looking for a Data Annotation & Tooling Engineer to help build the high-quality datasets that underpin cutting-edge computer vision and AI systems. This is more than a traditional data … responsible for developing and improving annotation workflows, maintaining tooling, ensuring dataset quality, and working closely with machine learning engineers to create reliable training data for advanced computer vision models. You'll play a key role in ensuring data quality throughout the machine learning lifecycle, helping improve ...