Senior Data Engineer

Yolk Recruitment Ltd; Cardiff; Hybrid; GBP 65,000 - 75,000; Full time

Job summary

A leading global business in Cardiff is seeking a Senior Data Engineer to shape their data platform. This role involves leading technical design, mentoring engineers, and driving best practices in data architecture. The ideal candidate has extensive experience in data pipelines, proficiency in SQL and Python, and knowledge of cloud services. The role offers competitive compensation (£65K - £75K) and a range of benefits, including enhanced parental leave and a healthcare plan.

Benefits

Enhanced Parental Leave

Generous annual leave

Healthcare Plan

Annual Giving Day

Cycle-to-work Scheme

Pension scheme with employer contributions

Life Assurance - 3x base salary

Rewards Programme

LinkedIn Learning Licence

Qualifications

• Extensive experience designing and building large-scale data pipelines and ETL processes.
• Strong proficiency in SQL and Python.
• Deep understanding of data modeling, warehousing, and performance optimization.
• Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Hands-on experience with big data frameworks (e.g. Apache Spark, Hadoop).

Responsibilities

• Lead the design and implementation of scalable, high-performance data architectures and pipelines.
• Define and enforce best practices for data engineering, including coding standards, testing, and documentation.
• Mentor and guide engineers, fostering collaboration and technical excellence.
• Translate complex business requirements into reliable, well-structured data solutions.
• Optimise data workflows for performance, reliability, and cost efficiency.

Skills

SQL

Python

Data governance

Problem-solving

Mentoring

Data modeling

Cloud platforms

Agile environments

Tools

Apache Spark

Hadoop

Docker

Kubernetes

Terraform

NoSQL Databases

Job description

Senior Data Engineer - Cardiff / Hybrid - £65,000 - £75,000 + benefits

Yolk Recruitment are proud to be supporting a leading global business investing heavily in its data and analytics capabilities. They're looking for a Senior Data Engineer to help shape the next generation of their data platform - leading technical design, mentoring others, and driving best practice.

This is a great opportunity for an experienced data professional who enjoys solving complex challenges, optimising large-scale systems, and influencing strategy within a collaborative, forward-thinking team.

What you'll be doing:

• Lead the design and implementation of scalable, high-performance data architectures and pipelines.
• Define and enforce best practices for data engineering, including coding standards, testing, and documentation.
• Mentor and guide engineers, fostering collaboration and technical excellence.
• Translate complex business requirements into reliable, well-structured data solutions.
• Optimise data workflows for performance, reliability, and cost efficiency.
• Drive adoption of modern data tools and technologies across the organisation.
• Ensure robust data governance, security, and compliance.
• Troubleshoot and resolve complex data issues, delivering long-term solutions.
• Work with analytics, product, and engineering teams to support advanced analytics and machine learning initiatives.

The skills you'll need:

• Extensive experience designing and building large-scale data pipelines and ETL processes.
• Strong proficiency in SQL and Python.
• Deep understanding of data modelling, warehousing, and performance optimisation.
• Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Hands-on experience with big data frameworks (e.g. Apache Spark, Hadoop).
• Strong knowledge of data governance, security, and compliance.
• Ability to lead technical projects and mentor junior engineers.
• Excellent problem-solving skills and experience in agile environments.

Desirable:

Experience with streaming data (Kafka/Kinesis), Docker/Kubernetes, Terraform, CI/CD pipelines, NoSQL databases, and metadata management tools.

Company Benefits:

• Enhanced Parental Leave
• Generous annual leave
• Healthcare Plan
• Annual Giving Day - an extra day to give back to yourself or your community
• Cycle-to-work Scheme
• Pension scheme with employer contributions
• Life Assurance - 3x base salary
• Rewards Programme - access to discounts and cashback
• LinkedIn Learning Licence for upskilling & development

Ready to Apply?

Please apply with your latest CV.

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