Data developers Work, Jobs in Little Budworth, Chs (with Salaries)

Data Engineer - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Azure
- Computer Science
- Engineering
Data Engineer GCP (Remote)
bet365 —Stoke-on-Trent
- Full-time
- Remote
- SQL
Quick apply
Data Engineer
HSB —Birkenhead
- Full-time
- Hybrid work
- Azure
- SQL
- Communication skills
- Annual leave
- Employee assistance programme
8d
Data Engineer (GCP)
bet365 —Stoke-on-Trent
- Full-time
- SQL
Quick apply
Data Engineer
Agile Automations Ltd —Manchester
- From £40,000 a year
- Full-time
- Computer Science
- System design
- SQL
- Work from home
- Referral programme
Quick apply
3d
Senior Data & Analytics Developer
INEOS Group —Runcorn
- Full-time
- English
- SQL
- Mentoring
BI Developer
Vaultex UK Ltd —Warrington
- Full-time
- Hybrid work
- Azure
- SQL
- Continuous improvement
- Employee assistance programme
- Employee discount
6d
Azure Data Engineer
DBD International —Warrington
- Hybrid work
- Azure
- SQL
- Python
Senior Data Engineer
The Clatterbridge Cancer Centre NHS Foundation Trust —Wirral
- £57,528 - £64,750 a year
- Full-time
- Azure
3d
Senior BI Developer
Bodycote —Macclesfield
- £50,000 - £60,000 a year
- Hybrid work
- Azure
- Computer Science
- SQL
Software Development Team Lead - Regulatory Data
bet365 —Stoke-on-Trent
- Full-time
- Hybrid work
- SQL
- Driving
- APIs
Quick apply
Senior Data Engineer
PortSwigger —Knutsford
- Full-time
- SQL
- AWS
- AI
Quick apply
Senior Data Engineer
Informed Solutions —Altrincham
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
- Gym membership
- Referral programme
Quick apply
Lead Data Engineer
Radius Limited —Crewe
- Full-time
- AWS
- AI
- Leadership
- Employee assistance programme
Quick apply
5d
Senior Data Specialist
Moody's —Salford
- Computer Science
- SQL
- Bachelor's degree
Senior Data Engineer
The Protein Works™ —Liverpool
- Full-time
- Master's degree
- SQL
- APIs
Quick apply
Business Intelligence Developer
Community Integrated Care —Widnes
- £38,000 - £42,000 a year
- Full-time
- Azure
- Computer Science
- SQL
- Employee assistance programme
- Employee discount
Quick apply
Data Engineer
Matalan —Liverpool
- Full-time
- Azure
- SQL
- Python
- Employee discount
Quick apply
Data Engineer
AJ Bell —Manchester
- Full-time
- Hybrid work
- SQL
- AWS
- Analysis skills
- Employee assistance programme
- Gym membership
Quick apply
Lead Analytics Engineer (6 Month FTC)
AJ Bell —Manchester
- Full-time
- Hybrid work
- SQL
- Employee assistance programme
- Gym membership
Quick apply

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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 developers jobs in little budworth, chs

Data Engineer - AI Practice Team

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Data Engineer

Lead Analytics Engineer (6 Month FTC)

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