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

Data Engineer - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Azure
- Computer Science
- Engineering
AI / ML Engineer
Forge Holiday Group Ltd —Chester
- Up to £80,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- Machine learning
Quick apply
Lead Data Engineer
Radius Limited —Crewe
- Full-time
- AWS
- AI
- Leadership
- Employee assistance programme
Quick apply
Applied AI Engineer – Prompting & Evaluation
KERRIDGE COMMERCIAL SYSTEMS CORP —Macclesfield
- Full-time
- ERP systems
- Master's degree
- APIs
Quick apply
Software Engineer, Backend - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Azure
- Computer Science
- Engineering
Data Engineer
PortSwigger —Knutsford
- Full-time
- SQL
- AWS
- AI
Quick apply
11d
AI Software Engineer
Barclays —Knutsford
- AI
- Leadership
- Communication skills
Senior Applied AI Engineer – Prompting & Evaluation
KERRIDGE COMMERCIAL SYSTEMS CORP —Macclesfield
- Full-time
- ERP systems
- Master's degree
- Travel
Quick apply
Senior Data Engineer
The Protein Works™ —Liverpool
- Full-time
- Master's degree
- SQL
- APIs
Quick apply
Software Developer/Engineer - Stafford
Mayden —Stafford
- £33,000 - £50,000 a year
- Monday to Friday
- Hybrid work
- JavaScript
- Software development
- Communication skills
- Annual leave
12d
AI Enabled Intermediate Power Platform Engineer
Accenture —Manchester
- Full-time
- Azure
- Customer service
- JavaScript
Software Engineer
Barclays —Knutsford
- DevOps
- System design
- Financial services
Process Engineer
Elanco —Speke
- Full-time
- Engineering
- Continuous improvement
Principal AI and Machine Learning Software Engineer
Waters Corporation —Wilmslow
- Doctoral degree
- Computer Science
- System design
2d
Lead Developer
EA Technology —Chester
- £60,000 - £80,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- System design
- Referral programme
Quick apply
VP Engineering Enablement & Operations (3978)
GBG —Chester
- Full-time
- Hybrid work
- Organisational skills
- AI
- Communication skills
Quick apply
Senior Platform Engineer - DevOps
Accenture —Manchester
- Full-time
- Azure
- AWS
- Travel
Platform Engineer — Cloud & Infrastructure Automation and Observation
The Protein Works™ —Liverpool
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
Digital and Technology Solutions Professional Apprenticeship Level 6
Amentum —Risley
- Full-time
- Hybrid work
- Computer Science
- Analysis skills
- Computer skills
3d
Full Stack Engineer
Barclays —Knutsford
- Azure
- DevOps
- AWS

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Data Engineer - AI Practice Team

American Bureau of Shipping (ABS) -
Warrington

Apply Now

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 crewe, eng

Data Engineer - AI Practice Team

AI / ML Engineer

Lead Data Engineer

Applied AI Engineer – Prompting & Evaluation

Software Engineer, Backend - AI Practice Team

Data Engineer

AI Software Engineer

Senior Applied AI Engineer – Prompting & Evaluation

Senior Data Engineer

Software Developer/Engineer - Stafford

AI Enabled Intermediate Power Platform Engineer

Software Engineer

Process Engineer

Principal AI and Machine Learning Software Engineer

Lead Developer

VP Engineering Enablement & Operations (3978)

Senior Platform Engineer - DevOps

Platform Engineer — Cloud & Infrastructure Automation and Observation

Digital and Technology Solutions Professional Apprenticeship Level 6

Full Stack Engineer

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