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Data Engineer

Yolk Recruitment Ltd

Cardiff

Hybrid

GBP 45,000 - 50,000

Full time

Yesterday
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Job summary

A leading recruitment agency is seeking a Data Engineer to join a global technology company in Cardiff. The role involves building and maintaining data pipelines and ensuring data integrity. Strong skills in SQL, Python, and experience with cloud platforms like AWS or Azure are essential. This position offers a salary between £45,000 - £50,000 and benefits including generous leave and healthcare plans.

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

  • Experience with data governance and compliance best practices.
  • Familiarity with agile workflows is essential.
  • Prior exposure to CI/CD pipelines is advantageous.

Responsibilities

  • Design, build, and maintain scalable data pipelines.
  • Collaborate with data scientists and analysts on data solutions.
  • Monitor data workflows for availability and reliability.

Skills

Strong proficiency in SQL
Hands-on experience building data pipelines and ETL processes
Proficiency in Python
Experience with cloud platforms (AWS, Azure, or GCP)
Knowledge of data modelling, warehousing, and optimisation
Familiarity with big data frameworks (e.g. Apache Spark, Hadoop)
Understanding of data governance, security, and compliance best practices
Strong problem-solving skills

Tools

Docker
Kubernetes
Kafka
Terraform
NoSQL databases
Job description
Data Engineer - Cardiff / Hybrid - £45,000 - £50,000 + benefits

Yolk Recruitment are excited to be working with a global technology business that's continuing to expand its data capability and invest in modern cloud solutions. Known for their collaborative culture and commitment to innovation, they're offering an excellent opportunity for a Data Engineer to make a real impact.

We're looking for a Data Engineer to help design, build, and maintain scalable data pipelines and systems that power analytics and business intelligence across the organisation. You'll play a key role in ensuring data is accurate, accessible, and high-quality - driving data-led decision making at every level.

What you'll be doing
  • Design, build, and maintain scalable data pipelines and ETL processes to support analytics and operations.
  • Develop and optimise data models and storage solutions for performance and reliability.
  • Ensure data quality, integrity, and security throughout the data lifecycle.
  • Collaborate with data scientists, analysts, and engineers to deliver effective data solutions.
  • Implement and maintain infrastructure on AWS, Azure, or GCP.
  • Monitor and troubleshoot data workflows to ensure availability and minimal downtime.
  • Automate data ingestion, transformation, and validation processes.
  • Stay up to date with emerging technologies and recommend system improvements.
The skills you'll need
  • Strong proficiency in SQL and experience with relational databases.
  • Hands-on experience building data pipelines and ETL processes.
  • Proficiency in Python.
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Knowledge of data modelling, warehousing, and optimisation.
  • Familiarity with big data frameworks (e.g. Apache Spark, Hadoop).
  • Understanding of data governance, security, and compliance best practices.
  • Strong problem-solving skills and experience working in agile environments.
Desirable

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

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?

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