WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Hybrid Data & AI Engineer - Build Scalable Pipelines & AI

Jefferson Frank
Manchester, UK
1 day ago
Apply on www.collegerecruiter.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.collegerecruiter.com

Tech stack

Artificial Intelligence Cloud Database Information Engineering Python (Programming Language) SQL Databases

Job description

Jefferson Frank is looking for a Data & AI Engineer to join their team, based in either Newcastle or Manchester. In this hybrid role, you will design and maintain data pipelines and AI solutions to support business needs. The ideal candidate has proven experience in data engineering, strong skills in Python and SQL, and a grasp of cloud data technologies. Successful applicants must be eligible for UK Security Check clearance. This position offers opportunities for career development in a collaborative environment.

Requirements

Jefferson Frank is looking for a Data & AI Engineer to join their team, based in either Newcastle or Manchester. In this hybrid role, you will design and maintain data pipelines and AI solutions to support business needs. The ideal candidate has proven experience in data engineering, strong skills in Python and SQL, and a grasp of cloud data technologies. Successful applicants must be eligible for UK Security Check clearance. This position offers opportunities for career development in a collaborative environment. #J-18808-Ljbffr

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.collegerecruiter.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

1:47 min

Introduction to ClickHouse cloud database architecture

Jan Mensch Jan Mensch · World Congress 2026 Europe

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

1:31 min

Essential AI and human skills for future teams

Alexander Weißhaupt Alexander Weißhaupt +1 · World Congress 2025

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

Videos

See all
Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS) thumbnail
43:28
LIVE • almost 5 years ago

Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)

Gregor Bauer

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps thumbnail
35:19
Coffee With Developers • 3 months ago

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps

Hazal Mestci, Raph Terrier

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • about 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Edit Your Future: Queerverse Radical AI thumbnail
31:30
LIVE • about 2 years ago

Edit Your Future: Queerverse Radical AI

Răzvan Ion

Postgres in the Age of AI (and Devin) thumbnail
20:50
World Congress 2024 • about 2 years ago

Postgres in the Age of AI (and Devin)

Nikita Shamgunov

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Related articles

See all