Data Engineer in City

Yolk Recruitment; Wales; Hybrid; GBP 45,000 - 50,000; Full time

Job summary

A global technology business in Wales is seeking a skilled Data Engineer to design and maintain scalable data pipelines and systems. You will ensure data quality and accessibility while collaborating with cross-functional teams. Ideal candidates should have strong experience with cloud platforms and data management. This position offers a competitive salary and benefits in a hybrid work environment.

Qualifications

• Experience designing and building scalable data pipelines.
• Strong knowledge of data quality and integrity management.
• Experience with cloud services like AWS, Azure, or GCP.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Develop and optimise data models for performance.
• Ensure data integrity and security throughout lifecycle.

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 collaboration culture and commitment to innovation, they offer an excellent opportunity for a Data Engineer to make 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 by driving dataled decision making at all level.

What you’ll be doing:

• Design, build, and maintain scalable data pipelines and ETL processes to support analytics and operation.
• Develop and optimise data models and storage solutions for performance and reliability.
• Ensure data quality, integrity, and security throughout 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 for emerging final system in proactively maintain and aggravate > here? Sorry save this adopt bad.

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