ETL Data Engineer
Posted 1 day ago by Whitehall Resources
Negotiable
Inside
Undetermined
Shropshire, England, United Kingdom
Summary: The ETL Data Engineer role at Whitehall Resources involves leading the design, development, and deployment of data integration and transformation solutions. The position requires expertise in ETL tools and a strong understanding of Agile methodologies, with a focus on collaboration and mentoring within cross-functional teams. The candidate must also ensure data quality and governance while driving DevOps practices. This role is suited for proactive individuals with excellent communication skills and a passion for data analytics.
Key Responsibilities:
- Lead the design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS.
- Architect and implement scalable data pipelines and services that support business intelligence and analytics platforms.
- Collaborate with cross functional teams to gather requirements, define technical specifications, and deliver robust data solutions.
- Champion Agile and Scrum methodologies, ensuring timely delivery of sprints and continuous improvement.
- Drive DevOps practices for CI/CD, automated testing, and deployment of data services.
- Mentor and guide junior engineers, fostering a culture of technical excellence and innovation.
- Ensure data quality, governance, and security standards are upheld across all solutions.
- Troubleshoot and resolve complex data issues and performance bottlenecks.
Key Skills:
- Strong expertise in ETL tools: Pentaho, Talend.
- Experience with data virtualization using Denodo.
- Proficiency in SAS for data analytics and reporting.
- Solid understanding of Agile and Scrum frameworks.
- Hands on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes).
- Strong SQL and data modelling skills.
- Excellent problem solving, communication, and leadership abilities.
- Proven track record of leading data projects and teams.
- Certifications in Agile/Scrum, DevOps, or relevant data technologies are a plus.
Salary (Rate): undetermined
City: Shropshire
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
ETL Data Engineer
Whitehall Resources are currently looking for a ETL Data Engineer. You will be required to use an FCSA Accredited Umbrella Company for this role. Must not have been outside of the UK for more than 6 Months in the last 5 years.
Key Requirements:
- You should have experience as a Software Engineer delivering within large scale data analytics solutions and the ability to operate at all stages of the software engineering lifecycle, as well as some experience in the following;
- Awareness of devops culture and modern engineering practices.
- Experience of Agile Scrum based delivery.
- Proactive in nature, personal drive, enthusiasm, willingness to learn.
- Excellent communications skills including stakeholder management.
Key Responsibilities:
- Lead the design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS.
- Architect and implement scalable data pipelines and services that support business intelligence and analytics platforms.
- Collaborate with cross functional teams to gather requirements, define technical specifications, and deliver robust data solutions.
- Champion Agile and Scrum methodologies, ensuring timely delivery of sprints and continuous improvement.
- Drive DevOps practices for CI/CD, automated testing, and deployment of data services.
- Mentor and guide junior engineers, fostering a culture of technical excellence and innovation.
- Ensure data quality, governance, and security standards are upheld across all solutions.
- Troubleshoot and resolve complex data issues and performance bottlenecks.
Key Skills:
- Strong expertise in ETL tools: Pentaho, Talend.
- Experience with data virtualization using Denodo.
- Proficiency in SAS for data analytics and reporting.
- Solid understanding of Agile and Scrum frameworks.
- Hands on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes).
- Strong SQL and data modelling skills.
- Excellent problem solving, communication, and leadership abilities.
- Proven track record of leading data projects and teams.
- Certifications in Agile/Scrum, DevOps, or relevant data technologies are a plus.