Job Detail
AWS Cloud Data Engineer: Pipelines, Dashboards & FinOps
Others
Full–time
Salary
—
Description
A leading consulting firm is looking for an AWS Cloud Developer with Data Engineering skills to design, develop, and maintain scalable data solutions on the AWS platform. You will work on creating data pipelines and optimizing storage solutions, collaborating with cross-functional teams to ensure the successful delivery of projects. Ideal candidates will have a Bachelor's degree in computer science and experience with AWS services. This hybrid position offers a dynamic work environment and opportunities for professional growth. #J-18808-Ljbffr
Hard Skills
0
No hard skills extracted
Soft Skills
0
No soft skills extracted
Apply Options
API Logs for this Job
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| AWS Cloud Data Engineer: Pipelines, Dashboards & FinOps | fallback | 410 | 2026-03-28 10:26 | |
| data engineer in London, UK | gb | processed | 8767 | 2026-03-28 10:09 |
Raw JSON
{
"job_id": "QlsFrJbYf_apggzSAAAAAA==",
"job_city": "Guildford",
"job_state": null,
"job_title": "AWS Cloud Data Engineer: Pipelines, Dashboards & FinOps",
"job_salary": null,
"job_country": "GB",
"job_benefits": null,
"job_latitude": 51.236219999999996,
"job_location": "Guildford",
"job_onet_soc": "15113200",
"apply_options": [
{
"is_direct": false,
"publisher": "Machine Learning Jobs",
"apply_link": "https://machinelearningjobs.co.uk/view-job/aws-cloud-data-engineer-pipelines-dashboards-finops-8qdw4bm1ho?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
},
{
"is_direct": false,
"publisher": "Jobg8",
"apply_link": "https://jobs.jobg8.com/jobs/aws-cloud-data-engineer-pipelines-dashboards-finops-in-guildford-surrey-united-kingdom/5673-30879394195B?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
},
{
"is_direct": false,
"publisher": "Jobrapido",
"apply_link": "https://uk.jobrapido.com/jobpreview/3638523388525281280?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
},
{
"is_direct": false,
"publisher": "Learn4Good",
"apply_link": "https://www.learn4good.com/jobs/guildford-surrey/uk/info_technology/4961881449/e/?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
}
],
"employer_logo": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRRR3vAsQhC1Ghy1b-YjyyHcoJIkvdwLg-ZDlV_&s=0",
"employer_name": "N Consulting Limited",
"job_is_remote": false,
"job_longitude": -0.5704089999999999,
"job_posted_at": "3 days ago",
"job_publisher": "Machine Learning Jobs",
"job_apply_link": "https://machinelearningjobs.co.uk/view-job/aws-cloud-data-engineer-pipelines-dashboards-finops-8qdw4bm1ho?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
"job_highlights": {},
"job_max_salary": null,
"job_min_salary": null,
"job_description": "A leading consulting firm is looking for an AWS Cloud Developer with Data Engineering skills to design, develop, and maintain scalable data solutions on the AWS platform. You will work on creating data pipelines and optimizing storage solutions, collaborating with cross-functional teams to ensure the successful delivery of projects. Ideal candidates will have a Bachelor's degree in computer science and experience with AWS services. This hybrid position offers a dynamic work environment and opportunities for professional growth.\n#J-18808-Ljbffr",
"job_google_link": "https://www.google.com/search?ibp=htl;jobs&q&htidocid=QlsFrJbYf_apggzSAAAAAA%3D%3D&hl=en-GB&shem=epsdc&shndl=37&shmd=H4sIAAAAAAAA_xWMPQrCQBBGsc0RrMbGQiQRwSZWEn8a0YCFZdhkx83IZmfZ2UBK7-BNPJInMTYfDx7vSz6TpNzdb1BY7jXsVVRwcIYcYsihJI92ZFmORtqaVdACcziSu3qB7-sNT65BUIWmBXZwYjYWp9s2Ri95lonY1EhUkZq04S5jhzUP2RjJfyppVUBvVcRqvVkNqXdmMbtAwU56G8kZOFNHETXQeN6T1Q8O-gdVaqpptQAAAA&shmds=v1_ATWGeeMaMMLofcTECdVz_YMaeWIXYpCICY-sUkkx0wxF1olSHg&source=sh/x/job/li/m1/1#fpstate=tldetail&htivrt=jobs&htiq&htidocid=QlsFrJbYf_apggzSAAAAAA%3D%3D",
"employer_website": null,
"job_onet_job_zone": "4",
"job_salary_period": null,
"job_apply_is_direct": false,
"job_employment_type": "Full–time",
"job_employment_types": [
"FULLTIME"
],
"job_posted_at_timestamp": 1774396800,
"job_posted_at_datetime_utc": "2026-03-25T00:00:00.000Z"
}