Developer data warehouse Work, Jobs (with Salaries)

Lead Data & AI Platform Engineer
OrderYOYO —Manchester
- Remote
- Azure
- SQL
- Mentoring
Quick apply
Technical Solutions Architect
Zippd —Manchester
- Full-time
- English
- SQL
- AWS
Quick apply
BXTI - Liquid Credit, Full Stack Software Engineer, Associate
Blackstone Group —London
- Full-time
- Computer Science
- SQL
- AWS
Retail & Wholesale Operations Manager
CELIMMA LIMITED —Glasgow
- £36,400 - £39,000 a year
- Full-time
- Management
- Sales
- Microsoft Office
- Free parking
- Annual leave
Quick apply
6d
Senior Full Stack Data Quality Engineer (Outside IR35 contract)
Tokio Marine HCC —London
- Full-time
- Azure
- SQL
- APIs
1d
Principal Data Engineer
ComplyAdvantage —London
- Hybrid work
- Java
- Master's degree
- AWS
- Annual leave
- Life insurance
Quick apply
D365 Supply Chain Functional Lead
ADI Global Distribution —Oldham
- Full-time
- ERP systems
- English
- Analysis skills
- Free parking
Manager, Data Engineering Architect, AI & Data, Technology & Transformation
Deloitte —Manchester
- Hybrid work
- Azure
- Java
- AWS
14d
Consultant - Manager, Data Engineer, AI & Data, Defence & Security
Deloitte —Bristol
- Hybrid work
- Communication skills
- SDLC
Transport Planner / Assistant Transport Planner - Freight & Logistics
WSP —Birmingham
- Part-time
- Hybrid work
- Analysis skills
- In-person
- Business
- Flexitime
- Work from home
Director, Security Engineering & Operations
Cognism —London
- APIs
- IT
- AI
Quick apply
7d
Electrical Items Testing and Data Erasure Volunteer
British Heart Foundation —Leeds
- Employee discount
Lead Analytics Engineer (6 Month FTC)
AJ Bell —Manchester
- Full-time
- Hybrid work
- SQL
- Employee assistance programme
- Gym membership
Quick apply
MS Dynamics NAV Support Technician with Systems Development
Aspinal of London —Fernhurst
- Full-time
- Hybrid work
- Computer Science
- No degree
- APIs
- Employee discount
Quick apply
Automation Engineer
Sonoco Limited RPC Chesterfield and Bradford —Chesterfield
- Microsoft Powerpoint
- AutoCAD
- Microsoft Excel
Quick apply

Other jobs to consider

Find your next job by exploring related positions.

Data Engineer
Medpace, Inc. —London
Knowledge of Snowflake cloud data warehouse, Fivetran data integration and dbt transformations is preferred; Knowledge of C#, Azure development is a bonus; and.
Data & Reporting Developer
Gatwick Construction Limited —Crawley
Support projects aimed at improving efficiency, reducing manual administration and enhancing business processes. Two paid volunteering days each year.
£35,000 a year
Quick apply
3d

I want to receive the latest job alerts for developer data warehouse

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Lead Data & AI Platform Engineer

OrderYOYO -
Manchester

Quick apply

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

developer data warehouse jobs

Lead Data & AI Platform Engineer

Technical Solutions Architect

BXTI - Liquid Credit, Full Stack Software Engineer, Associate

Retail & Wholesale Operations Manager

Senior Full Stack Data Quality Engineer (Outside IR35 contract)

Principal Data Engineer

D365 Supply Chain Functional Lead

Manager, Data Engineering Architect, AI & Data, Technology & Transformation

Consultant - Manager, Data Engineer, AI & Data, Defence & Security

Transport Planner / Assistant Transport Planner - Freight & Logistics

Director, Security Engineering & Operations

Electrical Items Testing and Data Erasure Volunteer

Lead Analytics Engineer (6 Month FTC)

MS Dynamics NAV Support Technician with Systems Development

Automation Engineer

Other jobs to consider

I want to receive the latest job alerts for developer data warehouse

Related Searches

Explore jobs in more locations

Lead Data & AI Platform Engineer

Role mission

Core responsibilities

Must-have requirements

Strong-to-have experience

Jobseeker tools

Employer Tools

Browse

Stay Connected