Data engineer ai practice team Work, Jobs in Manchester, Eng (with Salaries)

Data Engineer - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Azure
- Computer Science
- Engineering
Data/AI Engineer, Engineering AI & Data, AI & Data Solutions
Deloitte —Manchester
- Hybrid work
- SQL
- Analysis skills
- Machine learning
Product Engineer - M365 Unified Collaboration & Gen AI
Barclays —Knutsford
- Azure
- DevOps
- Scripting
7d
AI Innovation Engineer (CONTRACT)
Wipro Limited —Manchester
- Master's degree
- AWS
- Machine learning
10d
Analytical Engineer
On the Beach —Manchester
- Full-time
- Hybrid work
- SQL
- Contracts
- AI
- Annual leave
- Work from home
12d
Lead Automation & Integration Engineer
Power Resources International Ltd —Manchester
- £32,120.33 - £65,906.19 a year
- Full-time
- Master's degree
- JavaScript
- Mentoring
Quick apply
Lead Ai Engineer (AI/ML/R&D)
Bally's Interactive LLC —Manchester
- Hybrid work
- Master's degree
- AWS
- Machine learning
- Annual leave
- Gym membership
Quick apply
Data Platform Engineer - AWS
AO World —Bolton
- Azure
- DevOps
- SQL
- Free parking
- Employee discount
Senior Data/AI Engineer - Manager, Engineering AI & Data, AI & Data Solutions
Deloitte —Manchester
- Hybrid work
- SQL
- Analysis skills
- Machine learning
Senior Manager, AI Solution Architect, SG&A, Engineering, AI & Data, Technology & Transformation
Deloitte —Manchester
- Hybrid work
- Azure
- Computer Science
- DevOps
Technology Analyst - Operations (UK Remote)
Turnitin, LLC —Manchester
- Full-time
- Remote
- SQL
- AWS
- No degree
- Annual leave
Quick apply
AI Engineer
CarFinance247 —Manchester
- Up to £60,000 a year
- Azure
- Computer Science
- System design
Quick apply
Manager, AI Engineer, AI & Data, AI Scaling & Transformation
Deloitte —Manchester
- Hybrid work
- Azure
- SQL
- AWS
Data Engineer
BCN Group —Manchester
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
- Annual leave
- Employee assistance programme
Quick apply
Data Engineer
PortSwigger —Knutsford
- Full-time
- SQL
- AWS
- AI
Quick apply
Data Engineer
UBDS Group —Manchester
- Hybrid work
- Azure
- SQL
- AWS
Quick apply
AI Solutions Business Analyst
ServisBOT —Manchester
- £45,000 - £55,000 a year
- Full-time
- Hybrid work
- CRM software
- Customer service
- Engineering
- Work from home
Quick apply
Manager, Data Governance, AI & Data, Technology & Transformation
Deloitte —Manchester
- Hybrid work
- Computer Science
- Engineering
- Java
Data Engineering Manager
On the Beach —Manchester
- Full-time
- Hybrid work
- Management
- AI
- Annual leave
- Work from home
Manager, Data Engineering Architect, AI & Data, Technology & Transformation
Deloitte —Manchester
- Hybrid work
- Azure
- Java
- AWS

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data engineer ai practice team jobs near manchester, eng

Data Engineer - AI Practice Team

American Bureau of Shipping (ABS) -
Warrington

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Job details

Full-time

Qualifications

Data modelling
Azure
Computer Science
Engineering
Spark
NoSQL
Google Cloud Platform
Master's degree
SQL
AWS
Bachelor's degree
Data pipeline
APIs
S3
Kafka
AI
Python

Full job description

ABS is seeking an exceptional Data Engineer to join us full-time on our Artificial Intelligence (AI) Practice Team. In this role, you will design and operate the data foundations that power AI chat assistants, custom AI models, and AI-driven process optimization for ABS Consulting clients. You will build robust pipelines that integrate structured and unstructured data, standardize and tag enterprise content, and enable scalable, low-latency retrieval for AI workloads. Working closely with AI engineers, consultants, and domain experts, you will turn messy real-world data into production-grade data assets that deliver measurable business impact.

What You Will Do:

Design, build, and maintain scalable ETL/ELT pipelines to ingest, clean, and transform structured and unstructured data for AI assistants and custom models.
Integrate diverse knowledge repositories (documents, policies, procedures, standards, databases) into centralized data platforms that support retrieval-augmented generation (RAG) and search.
Implement data standardization, normalization, and tagging pipelines to align content with enterprise taxonomies and ontologies.
Collaborate with AI/ML engineers to productionize model-ready datasets, feature stores, and embeddings for prediction, classification, and optimization use cases.
Optimize data workflows for reliability, cost, and performance across batch and streaming workloads, including monitoring, alerting, and capacity planning.
Establish and enforce data quality, lineage, and governance practices to ensure trustworthy inputs to AI systems and process-automation solutions.
Automate and templatize common data engineering patterns to accelerate delivery across multiple client engagements and industry domains.
Partner with consultants and business stakeholders to translate process optimization and analytics requirements into robust, maintainable data solutions.

What You Will Need:

Education and Experience

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a closely related technical field; Master’s degree preferred.
6+ years of professional data engineering experience designing, building, and operating production data solutions.
Demonstrated experience working in data-intensive environments (e.g., analytics platforms, AI/ML workloads, large-scale content repositories, or enterprise data platforms).
Hands-on experience delivering solutions on at least one major cloud provider (AWS, Azure, or Google Cloud), including managed data and analytics services.

Knowledge, Skills, and Abilities

Strong command of SQL and at least one programming language commonly used in data engineering (Python preferred) for building production-grade data pipelines.
Hands-on experience with modern data processing frameworks and platforms (e.g., Spark, Databricks, Snowflake, BigQuery, Synapse, or similar).
Proficiency with ETL/ELT orchestration tools and workflows (e.g., Airflow, dbt, Azure Data Factory, AWS Glue, or equivalent).
Experience designing and operating data lakes/lakehouses and integrating multiple data sources (relational, NoSQL, files, APIs) into cohesive data models.
Deep experience working with unstructured and semi-structured data (documents, PDFs, JSON, logs), including content extraction, normalization, and metadata/tagging.
Familiarity with AI/ML data patterns, including feature engineering, embeddings, vector databases, and retrieval-augmented generation (RAG) pipelines.
Strong understanding of data modeling, data quality, data governance, and lineage practices for regulated or compliance-sensitive environments.
Proficiency with cloud-native data services (e.g., S3/ADLS/GCS, managed warehouses, streaming services like Kafka/Kinesis/Event Hubs).
Solid grounding in software engineering best practices (version control, CI/CD, testing, code review) as applied to data engineering.
Must hold a valid right to work status in the UK.

Reporting Relationships:

This role reports to a project manager and does not initially include direct reports.

Apply Now

Refine Your Search

data engineer ai practice team jobs in manchester, eng

Data Engineer - AI Practice Team

Data/AI Engineer, Engineering AI & Data, AI & Data Solutions

Product Engineer - M365 Unified Collaboration & Gen AI

AI Innovation Engineer (CONTRACT)

Analytical Engineer

Lead Automation & Integration Engineer

Lead Ai Engineer (AI/ML/R&D)

Data Platform Engineer - AWS

Senior Data/AI Engineer - Manager, Engineering AI & Data, AI & Data Solutions

Senior Manager, AI Solution Architect, SG&A, Engineering, AI & Data, Technology & Transformation

Technology Analyst - Operations (UK Remote)

AI Engineer

Manager, AI Engineer, AI & Data, AI Scaling & Transformation

Data Engineer

Data Engineer

Data Engineer

AI Solutions Business Analyst

Manager, Data Governance, AI & Data, Technology & Transformation

Data Engineering Manager

Manager, Data Engineering Architect, AI & Data, Technology & Transformation

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