Data & integration engineer (ai platforms & salesforce ecosystem) Work, Jobs in Crowthorne, Brk (with Salaries)

Senior Data & Integration Engineer (AI Platforms & Salesforce Ecosystem)
Epicor —Bracknell
- Full-time
- Azure
- Salesforce
- System design
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- Remote
- Salesforce
- AI
- Leadership
- Annual leave
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Senior Data & Integration Engineer (AI Platforms & Salesforce Ecosystem)

Epicor -
Bracknell

Apply Now

Job details

Full-time

Benefits

Employee mentoring programme

Qualifications

Azure
React
Salesforce
Spark
System design
Microservices
SQL
Machine learning
Angular
Data pipeline
APIs
ServiceNow
Scalability
SaaS
AI
Python
Workday

Full job description

Senior Data & Integration Engineer (AI Platforms & Salesforce Ecosystem)
Overview

We are seeking a Senior Data & Integration Engineer to design, build, and scale AI-driven products and data integrations across our platform, with Salesforce as a key system within a broader ecosystem. This is not a traditional Salesforce development role — the focus is on integrating systems, enabling data flow, and supporting AI-native applications.

This role combines backend engineering, data engineering, and AI integration. You will work across systems to deliver scalable, reliable, and observable solutions that power both internal and customer-facing products.

Key Responsibilities

Design and build scalable backend services (primarily Python) to support AI-driven products and integrations
Develop and maintain integrations between Salesforce and other enterprise systems (e.g. Workday, ServiceNow, financial platforms)
Build and optimise ETL pipelines, data workflows, and event-driven architectures
Enable AI/ML use cases by supporting data pipelines, retrieval systems (RAG), and embedding workflows
Integrate AI capabilities into complex workflows with a focus on reliability, auditability, and performance
Collaborate with Product, Data, and Engineering teams to translate business problems into scalable technical solutions
Implement observability (logging, metrics, tracing) and ensure production-grade reliability
Contribute to architecture decisions across data, integration, and AI platforms
Mentor junior engineers and promote engineering best practices

Required Skills & Experience

Strong backend engineering experience (Python preferred)
Proven experience in data engineering: SQL, ETL pipelines, and large-scale data processing
Hands-on experience integrating SaaS platforms (Salesforce experience required, but not limited to internal platform development)
Experience working with APIs, microservices, and event-driven architectures
Exposure to modern data stacks (e.g. Airflow, dbt, Spark, or similar)
Experience with cloud platforms (Azure preferred)
Familiarity with AI/ML systems, including GenAI tooling (RAG, embeddings, evaluation frameworks)
Strong understanding of system design, scalability, and observability

Desirable Skills

Experience with vector databases and data retrieval systems
Exposure to machine learning workflows or data science collaboration
Frontend experience (React/Angular) for full-stack contributions
Experience optimising performance, latency, and cost in AI systems

The ideal candidate will:

Be comfortable working across multiple systems and data environments
Have strong SQL and data pipeline experience
Be able to integrate Salesforce into a wider architecture (not build exclusively within it)Bring curiosity and adaptability across AI, data, and engineering domains

Why Join

This is an opportunity to work on cutting-edge AI products while solving complex data and integration challenges at scale. You will play a key role in shaping how systems connect, how data flows, and how AI is embedded into real-world applications.

About Epicor

At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.

We’re Proactive, Proud, Partners .

Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs.

Competitive Pay & Benefits

Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.

Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.

Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.

Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.

Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.

Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.

Global Mobility: Comprehensive support for international relocations and permanent residency processes.

Equal Opportunities and Accommodations Statement

Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you— that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay- consider applying regardless.

We are an equal-opportunity employer.

Recruiter:

Kai Lewis

Apply Now

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Senior Data & Integration Engineer (AI Platforms & Salesforce Ecosystem) Overview

This role combines backend engineering, data engineering, and AI integration. You will work across systems to deliver scalable, reliable, and observable solutions that power both internal and customer-facing products.

Key Responsibilities

Design and build scalable backend services (primarily Python) to support AI-driven products and integrations

Develop and maintain integrations between Salesforce and other enterprise systems (e.g. Workday, ServiceNow, financial platforms)

Build and optimise ETL pipelines, data workflows, and event-driven architectures

Enable AI/ML use cases by supporting data pipelines, retrieval systems (RAG), and embedding workflows

Integrate AI capabilities into complex workflows with a focus on reliability, auditability, and performance

Collaborate with Product, Data, and Engineering teams to translate business problems into scalable technical solutions

Implement observability (logging, metrics, tracing) and ensure production-grade reliability

Contribute to architecture decisions across data, integration, and AI platforms

Mentor junior engineers and promote engineering best practices

Required Skills & Experience

Strong backend engineering experience (Python preferred)

Proven experience in data engineering: SQL, ETL pipelines, and large-scale data processing

Hands-on experience integrating SaaS platforms (Salesforce experience required, but not limited to internal platform development)

Experience working with APIs, microservices, and event-driven architectures

Exposure to modern data stacks (e.g. Airflow, dbt, Spark, or similar)

Experience with cloud platforms (Azure preferred)

Familiarity with AI/ML systems, including GenAI tooling (RAG, embeddings, evaluation frameworks)

Strong understanding of system design, scalability, and observability

Desirable Skills

Experience with vector databases and data retrieval systems

Exposure to machine learning workflows or data science collaboration

Frontend experience (React/Angular) for full-stack contributions

Experience optimising performance, latency, and cost in AI systems

The ideal candidate will:

Be comfortable working across multiple systems and data environments Have strong SQL and data pipeline experience

Be able to integrate Salesforce into a wider architecture (not build exclusively within it)Bring curiosity and adaptability across AI, data, and engineering domains

Why Join

This is an opportunity to work on cutting-edge AI products while solving complex data and integration challenges at scale. You will play a key role in shaping how systems connect, how data flows, and how AI is embedded into real-world applications.

Senior Data & Integration Engineer (AI Platforms & Salesforce Ecosystem)
Overview

Be comfortable working across multiple systems and data environments
Have strong SQL and data pipeline experience