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Job verified 15 hours ago

Data Engineer

Nigel Wright Group·Newcastle Upon Tyne (North East England)On-site
£45 000 – £50 000 / year
Vox Summary
  • Role Responsibilities: Design, build, and maintain scalable data pipelines; ensure data platform documentation; collaborate with cross-functional teams; optimize for performance and scalability; automate workflows.
  • Key Requirements: Experience designing data pipelines with industry tools and cloud technologies; knowledge of ETL, data lakes, and warehousing; proficiency in Python and relational databases.
  • Conditions/Benefits: The role involves transforming data into insights and supporting data infrastructure; no specific benefits or conditions detailed.
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Job description

The Company NW Tech are delighted to be working with a rapidly expanding professional services organisation in their search for a Data Engineer. The Role Key responsibilities include: • Design, build and maintain scalable data pipelines to ingest, process and transform structured and unstructured data from diverse sources. • Ensure the data platform is fully documented, maintaining up-to-date information requirements, data models, data dictionaries, and ETL mappings. • Collaborate with cross-functional teams, including system administrators, developers / engineers, external partners, and business stakeholders, to understand requirements and deliver solutions. • Optimise solutions for performance, reliability, and scalability, ensuring efficient data processing and storage. • Implement and manage orchestration workflows to automate data pipeline scheduling monitoring and error handling. The Requirements As a Data Engineer you will play a crucial role in transforming data into actionable insights and supporting the company's data infrastructure. Key requirements include: • Ideally experienced as a Data Engineer with hands-on experience designing and delivering data pipelines using industry-standard tools and cloud technologies. • Knowledge of data engineering concepts, data pipeline development, ETL processes, data lake and data warehousing technologies. • Proficiency in working with at least one major cloud data platform • Proficiency in Python for data engineering tasks (e.g. pipeline scripting, data transformation, automation) • Good knowledge of relational database technologies and concepts

Transparency panel

Original source
reed.co.uk
Posted
Jun 15, 2026 · true date
Last verified
15 hours ago
Quality score
65/100
Salary stated30
Company identified0
applyUrl0
postedAt15
Complete description20

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