Senior Data Engineer
Yolk Recruitment Ltd
Mountain Ash, UK
10 days ago
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£63,500.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Business Analytics Applications
Automation of Tests
Continuous Delivery
Continuous Integration
Information Engineering
Data Governance
Data Integration
Extract Transform Load (ETL)
Data Security
Data Systems
Python (Programming Language)
+11 more
DataOps
SQL Databases
Cloud Platform System
Apache Spark
Data Lakes
Pyspark
Git Flow
Data Analytics
Data Management
Software Version Control
Databricks
Job description
We are seeking an experienced Senior Data Engineer to lead the development of a modern, secure, cloud-based data platform. This role will be instrumental in shaping the organisation’s data capabilities, delivering trusted analytics and reporting solutions, and establishing the foundations for future AI and advanced data initiatives.
This is a hands-on position requiring a blend of architecture, engineering expertise, governance, and stakeholder engagement., * Design, build, and evolve a scalable cloud data platform and supporting architecture.
- Develop and maintain robust ELT/ETL pipelines, ensuring high standards of reliability, performance, and security.
- Establish and embed DataOps and DataSecOps practices, including CI/CD, testing, version control, and automated quality controls.
- Deliver governed data models and reporting structures that enable trusted, self-service analytics.
- Implement data governance, security, privacy, and access control frameworks.
- Monitor and improve data quality, integrity, and consistency across multiple systems.
- Provide technical leadership, mentoring, and best-practice guidance to colleagues.
- Partner with business stakeholders to understand requirements and deliver practical, value-driven data solutions.
- Drive continuous improvement across data engineering, reporting, and analytics capabilities.
Requirements
- Strong expertise in SQL and Python (PySpark desirable).
- Proven experience designing and building cloud-based data platforms from inception.
- Hands-on experience with Databricks, Spark, modern data lake/lakehouse architectures, and data integration pipelines.
- Strong understanding of data security, governance, access controls, and handling sensitive data.
- Experience implementing CI/CD, Git-based workflows, automated testing, and deployment practices.
- Solid data modelling experience for analytics and business intelligence.
- Track record of delivering scalable reporting and self-service analytics environments.
- Experience mentoring team members and promoting engineering best practices.
- Excellent problem-solving, communication, and stakeholder management skills.
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