Lead data & ai platform engineer Work, Jobs in Blackley, Gtm (with Salaries)

Lead Data & AI Platform Engineer
OrderYOYO —Manchester
- Remote
- Azure
- SQL
- Mentoring
Quick apply
Manager, Platform Engineer, Solutions, Engineering, AI & Data
Deloitte —Manchester
- Hybrid work
- Azure
- AWS
- Scripting
Director, AI / Machine Learning Data Engineer
The Bank of New York Mellon Corporation —Manchester
- Full-time
- Computer Science
- Engineering
- Bachelor's degree
AI Enabled Intermediate Power Platform Engineer
Accenture —Manchester
- Full-time
- Azure
- Customer service
- JavaScript
Lead AI Engineer - Financial Inclusion
M-KOPA —Manchester
- Full-time
- Remote
- Scripting
- AI
- Leadership
Principal AI Platform Engineer
UBDS Group —Manchester
- Hybrid work
- Azure
- Machine learning
- Mentoring
Quick apply
Manager, Data Governance, AI & Data, Technology & Transformation
Deloitte —Manchester
- Hybrid work
- Computer Science
- Engineering
- Java
Platform Engineer
QinetiQ —Manchester
- Part-time
- Hybrid work
- Driving
- Travel
- Leadership
Senior AI Engineer (Python, React, Azure)
Synextra —Birchwood
- £75,000 - £95,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- System design
Quick apply
Data Engineer (Maternity Cover 12 month FTC)
JDSPORTS —Bury
- Full-time
- SQL
- Continuous improvement
- Python
- Employee discount
Quick apply
9d
Solutions Architect – Contact Center (Cloud & AI)
Johnson Controls —Manchester
- Full-time
- Computer Science
- Bachelor's degree
- APIs
8d
Dev-Ops Lead Engineer
Spectrum Life —Manchester
- Full-time
- DevOps
- AWS
- APIs
- Annual leave
- Work from home
Quick apply
11d
AI Software Engineer
Barclays —Knutsford
- AI
- Leadership
- Communication skills
Forward Deployed Engineer
Biorelate —Manchester
- Full-time
- Remote
- Laboratory experience
- Master's degree
- Machine learning
Quick apply
5d
AI Security Engineer
Awaze —Manchester
- Hybrid work
- Azure
- Master's degree
- AWS
- Employee discount
Lead Machine Learning Engineer (Manchester)
Fitch Group —Manchester
- Azure
- Java
- Master's degree
AI Enterprise Architect
Barclays —Knutsford
- AI
- Negotiation
Staff Software Engineer (Team Lead) - Engine by Starling
Starling —Manchester
- Full-time
- Hybrid work
- DevOps
- System design
- Java
- Annual leave
- Employee discount
Quick apply
Senior Data Engineer
UBDS Group —Manchester
- Hybrid work
- Azure
- SQL
- AWS
Quick apply
Data Engineer (GCP)
bet365 —Manchester
- Full-time
- SQL
Quick apply

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Lead Data & AI Platform Engineer

OrderYOYO -
Manchester

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Job details

Qualifications

Power BI
Azure
SQL
Mentoring
Data pipeline
APIs
Root cause analysis
Google Ads
AI
Data warehouse
Python
T-SQL

Full job description

Lead Data & AI Platform Engineer

At OrderYOYO, data powers executive reporting, payments, finance, merchant insights, product analytics, AI, marketing automation, operational decision-making, and M&A integration.

We are looking for a Lead Data & AI Platform Engineer to own the next stage of our data platform evolution. This is a hands-on technical leadership role for a strong engineer who can build reliable data systems, modernise our data lake, automate data pipelines, and pioneer the practical use of AI across data engineering, reporting, analytics, and business insight generation.

You will play a central role in making OrderYOYO a more data-driven and AI-enabled company.

Competitive salary, growing international company, and growth opportunities.

Role mission

Your mission is to lead the continuity, modernisation, and AI-enablement of OrderYOYO’s data platform during a critical scaling phase.

Core responsibilities

Lead the architecture and evolution of OrderYOYO’s Microsoft Fabric platform across lakehouse, warehouse, notebooks, pipelines, semantic models, Power BI, and governance.

Make Fabric the trusted source of truth for priority business metrics and reporting.

Drive migration from legacy reporting and fragmented metric tooling into governed semantic models.

Build and improve production-grade data pipelines across APIs, files, events, CRM systems, payment platforms, operational databases, and acquired-company data sources.

Use AI and automation to accelerate ETL/ELT development, data mapping, documentation, testing, report generation, monitoring, and data-quality management.

Design reusable semantic models, DAX measures, and governed metric definitions for leadership, finance, commercial, product, marketing, payments, support, and operations.

Build automated reporting and insight-generation capabilities that reduce manual analysis and improve decision speed.

Establish robust orchestration, monitoring, alerting, lineage, data-quality checks, and incident-response processes.

Support CRM and operational data integrations, including identity mapping, schema mapping, outbound data feeds, reverse-ETL patterns, and monitoring.

Create repeatable ingestion and modelling patterns for acquired businesses, making future integrations faster, cleaner, and more auditable.

Define engineering standards for data pipelines, notebooks, semantic models, documentation, code review, testing, release management, and runbooks.

Lead and mentor data engineers, analytics engineers, BI analysts, data scientists, and ML/AI practitioners.

Partner with business stakeholders to turn ambiguous questions into reliable metrics, trusted reports, and scalable data products.

Ensure data and AI solutions are secure, privacy-conscious, auditable, and aligned with GDPR and internal governance requirements.

Must-have requirements

Strong experience in modern data platform engineering, analytics engineering, data warehousing, or data architecture.

Proven experience leading complex data-platform work in a SaaS, marketplace, fintech, payments, e-commerce, B2B2C, or multi-region business.

Strong Microsoft Fabric capability, or deep Azure Synapse, Databricks, Delta Lake, or lakehouse experience with the ability to specialise quickly in Fabric.

Expert SQL/T-SQL skills.

Strong Python or PySpark engineering capability, with experience building maintainable, tested, production-grade data pipelines.

Strong Power BI and DAX experience, including semantic modelling, incremental refresh, performance tuning, model governance, and capacity/cost awareness.

Practical experience using AI or automation to improve data engineering, reporting, documentation, testing, monitoring, migration, or developer productivity.

Experience building or operating production data systems with monitoring, alerting, incident triage, root-cause analysis, data-quality checks, lineage, and runbooks.

Experience leading legacy-to-modern data platform migrations, including metric parity, stakeholder validation, change control, and safe decommissioning.

Experience leading, mentoring, or technically guiding data engineers, analytics engineers, BI analysts, data scientists, or ML engineers.

Strong judgement on when to move fast, when to standardise, when to automate, and when to say “not yet” with evidence.

Strong-to-have experience

Experience with Azure OpenAI, LLMs, RAG, AI agents, prompt/version management, or AI-assisted development workflows.

Experience building AI-generated reporting, natural-language analytics, business copilots, automated insight generation, or merchant/customer intelligence tools.

Experience with churn prediction, recommendations, personalisation, marketing automation, fraud/risk analytics, payments analytics, or finance automation.

CRM-side data flows and reverse-ETL patterns, especially HubSpot, Salesforce, Zendesk, or similar platforms.

M&A or acquired-company data integrations, including schema discovery, data profiling, file/API ingestion, master-data mapping, migration QA, and reporting continuity.

GA4, BigQuery export, Google Ads, SEM feeds, Segment, or other event and marketing analytics sources.

Responsible AI and governance experience, including RBAC, PII handling, audit logs, human approval flows, explainability, and GDPR-conscious design.

Apply now if you fulfill the above criteria, we look forward to hearing from you.

Quick apply

Refine Your Search

lead data & ai platform engineer jobs in blackley, gtm

Lead Data & AI Platform Engineer

Manager, Platform Engineer, Solutions, Engineering, AI & Data

Director, AI / Machine Learning Data Engineer

AI Enabled Intermediate Power Platform Engineer

Lead AI Engineer - Financial Inclusion

Principal AI Platform Engineer

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Platform Engineer

Senior AI Engineer (Python, React, Azure)

Data Engineer (Maternity Cover 12 month FTC)

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AI Software Engineer

Forward Deployed Engineer

AI Security Engineer

Lead Machine Learning Engineer (Manchester)

AI Enterprise Architect

Staff Software Engineer (Team Lead) - Engine by Starling

Senior Data Engineer

Data Engineer (GCP)

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