ETL Data Engineer

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.