Data engineer ai practice team Work, Jobs in Leigh, Gtm (with Salaries)

Data Engineer - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Computer Science
- Engineering
- Master's degree
Data Engineer
Clio —Manchester
- £69,700 - £94,300 a year
- Full-time
- SQL
- Communication skills
- Life insurance
Full-Stack Engineer (AI SaaS)
Vizly —Liverpool
- £60,000 - £85,000 a year
- Weekend availability
- System design
- Master's degree
- AWS
Quick apply
13d
AI Engineer
CarFinance247 —Manchester
- Up to £60,000 a year
- Azure
- Computer Science
- Master's degree
Data Engineer
PortSwigger —Knutsford
- Full-time
- AI
- Analytics
Quick apply
Data Engineer
Travel Counsellors —Manchester
- Hybrid work
- Master's degree
- Machine learning
- AI
Quick apply
6d
Networking Engineer
Fourteen IP Communications —Wigan
- £35,000 - £50,000 a year
- Full-time
- Hybrid work
- Hotel
- Mentoring
- Organisational skills
- Free parking
- Sick pay
Quick apply
6d
Data Engineer
BCN Group —Manchester
- Full-time
- Hybrid work
- Azure
- Communication skills
- Annual leave
- Employee assistance programme
Quick apply
AI Engineer
Barclays —Knutsford
- Scripting
- AI
- Communication skills
Data Engineer
UBDS Group —Manchester
- Hybrid work
- Machine learning
- Agile
- AI
Quick apply
Software Engineer, Backend - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Computer Science
- Engineering
- Bachelor's degree
Product Engineer - M365 Unified Collaboration & Gen AI
Barclays —Knutsford
- Azure
- Team management
- Mentoring
Network Engineer
Sectigo —Manchester
- £55,000 - £62,000 a year
- Full-time
- Remote
- Computer Science
- Up to 50% travel
- Bachelor's degree
Quick apply
Data Engineer
AJ Bell —Manchester
- Full-time
- Hybrid work
- Analysis skills
- Communication skills
- Analytics
- Employee assistance programme
- Gym membership
Quick apply
Software Engineer
Oakland —Manchester
- Hybrid work
- Travel
- Software development
- AI
- Annual leave
- Referral programme
14d
AI Software Engineer
Barclays —Knutsford
- Mentoring
- Software development
- AI
AI Product Lead
DBD International —Warrington
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
8d
Data Platform Lead
PHOENIX Medical Supplies Limited —Borough of Halton
- Hybrid work
- AI
- Leadership
- Annual leave
23h
Intermediate Data Engineer
CDL Software —Manchester
- £40,000 - £45,000 a year
- Full-time
- Hybrid work
- Mentoring
- AI
- Free parking
- Referral programme
Quick apply
Senior Data Engineer
Travel Counsellors —Manchester
- Hybrid work
- Master's degree
- Machine learning
- AI
Quick apply
6d

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Data Engineer - AI Practice Team

American Bureau of Shipping (ABS) -
Warrington

Apply Now

Job details

Full-time

Qualifications

Data development experience
CI/CD
Data modelling
Data integration
Computer Science
Engineering
Spark
NoSQL
Google Cloud Platform
Data and database experience
Master's degree
SQL
ETL data integration
Bachelor's degree
CI/CD pipelines
S3
Kafka
Metadata
AI
Data warehouse

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 leigh, gtm

Data Engineer - AI Practice Team

Data Engineer

Full-Stack Engineer (AI SaaS)

AI Engineer

Data Engineer

Data Engineer

Networking Engineer

Data Engineer

AI Engineer

Data Engineer

Software Engineer, Backend - AI Practice Team

Product Engineer - M365 Unified Collaboration & Gen AI

Network Engineer

Data Engineer

Software Engineer

AI Software Engineer

AI Product Lead

Data Platform Lead

Intermediate Data Engineer

Senior Data Engineer

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