Data Engineer

Vivo Talent; City Of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A data-focused recruitment agency is seeking a Data Engineer to strengthen their data function. The role involves designing and building scalable data pipelines, ensuring data quality, and integrating data from various sources. Successful candidates should have strong experience with ETL workflows and a solid understanding of data modelling. This position offers a hybrid work model based in London or Newcastle and is ideal for those looking to enhance their data engineering skills in a collaborative environment.

Qualifications

• Strong experience designing and building ETL workflows and data pipelines.
• Experience integrating data from APIs, databases, and cloud services.
• Solid understanding of data modelling and data warehousing concepts.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Integrate structured and unstructured data from multiple sources.
• Monitor, optimise, and troubleshoot data infrastructure and pipelines.

Skills

ETL workflows design

Data pipeline construction

Data integration from APIs

Data modelling understanding

Database performance optimisation

Job description

Data Engineer / London OR Newcastle / Hybrid / Contract

We're recruiting a Data Engineer to join a growing data function, playing a key role in designing, building, and maintaining scalable data infrastructure that supports analytics, insight, and automation across the organisation.

This is an opportunity to work on modern data platforms, integrating multiple data sources and enabling high‑quality, accessible data for downstream users.

The Role

As a Data Engineer, you will:

• Design, build, and maintain scalable data pipelines and ETL processes
• Integrate structured and unstructured data from multiple internal and external sources
• Ensure data quality, consistency, performance, and security across platforms
• Collaborate with analytics engineers, data analysts, and stakeholders to support data modelling and transformation
• Monitor, optimise, and troubleshoot data infrastructure and pipelines
• Produce clear documentation of data architecture and engineering processes

Key Responsibilities

• Build and manage robust data infrastructure for large-scale data ingestion and processing
• Develop automated, reliable data pipelines aligned to best practices
• Optimise ETL workflows for performance and scalability
• Implement data governance, access controls, and security standards
• Support self‑service analytics by enabling clean, well‑structured datasets
• Proactively identify and resolve data issues and pipeline failures

Skills & Experience

• Strong experience designing and building ETL workflows and data pipelines
• Experience integrating data from APIs, databases, and cloud services
• Solid understanding of data modelling and data warehousing concepts
• Experience with relational and non‑relational databases, including performance optimisation

If you're interested in the role, then please apply!