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
Software Engineer, Backend - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Azure
- Computer Science
- Engineering
AI Engineer
JDSPORTS —Bury
- Full-time
- APIs
- AI
- Python
- Employee discount
Quick apply
Data Analyst I - ServiceNow
Booking.com —Manchester
- Full-time
- Hybrid work
- Data analysis skills
- SQL
- Quality control
- Relocation assistance
- Annual leave
Web Development Engineer I (UK)
Discovery Education —Manchester
- £30,500 - £34,300 a year
- Full-time
- Azure
- Java
- AWS
Quick apply
9d
AI Engineer
Network Plus —Salford
- £60,000 - £65,000 a year
- Hybrid work
- Azure
- System design
- AI
Quick apply
9d
Data Engineer
CreateFuture —Manchester
- Full-time
- Hybrid work
- SQL
- AWS
- Travel
Quick apply
4d
Machine Learning Engineer Intern (100% Remote)
Tether Operations Limited —Manchester
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Applied AI Engineer – Prompting & Evaluation
KERRIDGE COMMERCIAL SYSTEMS CORP —Macclesfield
- Full-time
- ERP systems
- Master's degree
- APIs
Quick apply
2d
Data Engineer
Jacobs —Manchester
- Hybrid work
- Azure
- SQL
- Machine learning
3d
Data Platform Engineer
Aareon AG —Manchester
- £50,000 a year
- Full-time
- Hybrid work
- Azure
- Maintenance
- Master's degree
Data Engineer (Maternity Cover 12 month FTC)
JDSPORTS —Bury
- Full-time
- SQL
- Continuous improvement
- Python
- Employee discount
Quick apply
10d
AI Enabled Intermediate Power Platform Engineer
Accenture —Manchester
- Full-time
- Azure
- Customer service
- JavaScript
AI Software Engineer
BGBx —Manchester
- £65,000 - £75,000 a year
- Remote
- Azure
- Master's degree
- JavaScript
- Annual leave
- Life insurance
Quick apply
6d
Data Engineer
AJ Bell —Manchester
- Full-time
- Hybrid work
- SQL
- AWS
- Analysis skills
- Employee assistance programme
- Gym membership
Quick apply
Manager, Data Governance, AI & Data, Technology & Transformation
Deloitte —Manchester
- Hybrid work
- Computer Science
- Engineering
- Java
Manager, AI Engineer, AI & Data, AI Scaling & Transformation
Deloitte —Manchester
- Hybrid work
- Azure
- SQL
- AWS
Data Platform Engineer - AWS
AO World —Bolton
- Azure
- DevOps
- SQL
- Free parking
- Employee discount
4d
AI Software Engineer
Barclays —Knutsford
- AI
- Leadership
- Communication skills
Senior Consultant, Platform Engineer, Solutions, Engineering, AI & Data
Deloitte —Manchester
- Hybrid work
- Azure
- AWS
- Scripting

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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

Software Engineer, Backend - AI Practice Team

AI Engineer

Data Analyst I - ServiceNow

Web Development Engineer I (UK)

AI Engineer

Data Engineer

Machine Learning Engineer Intern (100% Remote)

Applied AI Engineer – Prompting & Evaluation

Data Engineer

Data Platform Engineer

Data Engineer (Maternity Cover 12 month FTC)

AI Enabled Intermediate Power Platform Engineer

AI Software Engineer

Data Engineer

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

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

Data Platform Engineer - AWS

AI Software Engineer

Senior Consultant, Platform Engineer, Solutions, Engineering, AI & Data

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