Data Engineer (ERP)

TL;DR

Data Engineer (ERP): Designing and deploying scalable ETL architectures for ERP data transfer with an accent on data fidelity, performance optimization, and data quality across large, enterprise-grade datasets. Focus on translating migration blueprints into robust data flows and ensuring data integrity throughout the migration lifecycle.

Location: Hybrid working in London with scheduled collaboration days.

Company

Our client is a trusted partner designing and delivering enterprise-grade data platforms, advanced governance, and sustainable solutions across various sectors to unlock data value at scale.

What you will do

• Create and optimize end-to-end ETL pipelines for ERP data transfer, ensuring traceability, scalability, and performance.
• Craft and tune Oracle ERP SQL scripts for sophisticated transformations and data consolidation.
• Implement transformation logic, including data cleansing, enrichment, and standardisation.
• Collaborate with data architects, business analysts, and QA to validate data quality and enable rigorous testing.
• Identify and remediate data quality, performance, and reliability issues in production systems.
• Coordinate with cross-functional stakeholders to plan and deliver migration milestones.

Requirements

• Proven track record delivering ERP data migration initiatives.
• Extensive experience building and operating scalable ETL pipelines.
• Advanced Oracle ERP SQL scripting proficiency.
• Experience handling large, enterprise-scale datasets across intricate environments.
• Strong grasp of data transformation, cleansing, and enrichment methodologies.
• English: B2 required

Nice to have

• Familiarity with structured data migration frameworks.
• Exposure to Informatica or comparable ETL tools.
• Prior Outside IR35 contracting experience.

Culture & Benefits

• Competitive compensation package including pension and bonus potential.
• Hybrid working arrangement in London.
• Private medical insurance and access to wellbeing initiatives.
• Dedicated learning and development allowance.
• Employee referral program and recognition schemes.
• Work within an environment that champions strong data governance and scalable architectures.