Pentaho Developer

InfinityQuest Limited; Tees Valley; On-site; GBP 45,000 - 60,000; Full time

Job summary

A technology solutions provider in Tees Valley is seeking a skilled Pentaho Developer to lead ETL processes and projects. You will leverage your extensive experience in Pentaho Data Integration, along with strong SQL skills and a robust understanding of data warehousing concepts. The ideal candidate will have 5+ years in data integration and a background in banking or financial services is advantageous. This role requires collaboration with cross-functional teams to ensure high-quality data management.

Qualifications

• 5+ years of experience with Pentaho Data Integration.
• Strong background in data warehousing concepts.
• Experience leading complex ETL projects.

Responsibilities

• Develop and manage ETL processes using Pentaho.
• Ensure data quality and effective data profiling.
• Work collaboratively with cross-functional teams.

Skills

Pentaho Data Integration

Data warehousing

SQL

Scripting (Java, Python, VBA)

Data profiling

Tools

Informatica

Talend

SSIS

Hadoop

Spark

Job description

Pentaho Developer

InfinityQuest Ltd,

Middlesbrough - 54 minutes ago

talent.com

Job description

• Expertise in Pentaho Data Integration for ETL processes.
• Strong understanding of data warehousing concepts, data modelling, and schema design.
• Experience with other ETL tools (Informatica, Talend, SSIS) is a plus.
• Advanced SQL for querying and data manipulation.
• Familiarity with Java, Python, or VBA for scripting and automation.
• Knowledge of RESTful APIs and various database systems.
• Skills in data profiling, data analysis, and ensuring data quality.
• Experience612 years in Data Integration and ETL development.
• Minimum 35 years of hands‑on Pentaho experience.
• Leading complex ETL projects and working with cross‑functional teams.
• Exposure to Banking/Financial Services domain is a plus.

Preferred Qualifications

• Certifications in Pentaho, Big Data, or Cloud Platforms (AWS/GCP/Azure).
• Experience with Big Data technologies (Hadoop, Spark) and cloud data services.