Data engineer Work, Jobs in Irlam, Gtm (with Salaries)

Senior Data Engineer
CMSPI —Manchester
- Full-time
- Hybrid work
- Azure
- Computer Science
Quick apply
6h
Senior Data/AI Engineer - Manager, Engineering AI & Data, AI & Data Solutions
Deloitte —Manchester
- Hybrid work
- Analysis skills
- Machine learning
- Mentoring
Principal Mechanical Engineer - Data Centres
AECOM —Manchester
- Full-time
- Hybrid work
- Engineering
- Presentation skills
- Travel
Senior Data Operations Consultant
Royal London —Alderley Edge
- CRM software
- Continuous improvement
- Agile
- Annual leave
7d
Senior Data Engineer – Data Integration & Microsoft Fabric
RSM UK —Manchester
- Full-time
- Hybrid work
- Azure
- Analysis skills
- Communication skills
7d
Manager, AI Engineer, AI & Data, AI Scaling & Transformation
Deloitte —Manchester
- Hybrid work
- Analysis skills
- Agile
- AI
AI Systems & Reporting Specialist
Forrest Fresh Foods —Rochdale
- £45,000 - £55,000 a year
- Full-time
- Azure
- SQL
- APIs
- Free parking
Quick apply
11d
Assistant Director - Data Specialist
Moody's —Salford
- Computer Science
- Data analysis skills
- Analysis skills
Technical Business Analyst, Engineering AI & Data, AI & Data Solutions
Deloitte —Manchester
- Hybrid work
- Analysis skills
- Agile
- AI
Data Engineering Manager
On the Beach —Manchester
- Full-time
- Hybrid work
- Mentoring
- AI
- Annual leave
- Work from home
Data Engineering Lead
THG —Manchester
- AI
- Annual leave
- Employee assistance programme
Quick apply
Manager, Java Developer, Solutions, Engineering, AI & Data
Deloitte —Manchester
- Hybrid work
- Mentoring
- Software development
Manager, Platform Engineer, Solutions, Engineering, AI & Data
Deloitte —Manchester
- Hybrid work
- Mentoring
- Scripting
Software Development Team Lead - Regulatory Data
bet365 —Manchester
- Full-time
- Hybrid work
- AI
- Communication skills
Quick apply
Senior Consultant, Platform Engineer, Solutions, Engineering, AI & Data
Deloitte —Manchester
- Hybrid work
- Mentoring
- Scripting
- SDLC
Manager, Data Engineering Architect, AI & Data, Technology & Transformation
Deloitte —Manchester
- Hybrid work
- DevOps
- Presentation skills
- Agile
Senior Manager, Data Solution Architect, SG&A, Engineering, AI & Data, Technology & Transformation
Deloitte —Manchester
- Hybrid work
- Mentoring
- Agile
- AI
Head of Integration, Data & GenAI Engineering
AJ Bell —Manchester
- Full-time
- Hybrid work
- Master's degree
- AI
- Leadership
- Employee assistance programme
- Gym membership
Quick apply
Senior Consultant, Java Developer, Solutions, Engineering, AI & Data
Deloitte —Manchester
- Hybrid work
- Mentoring
- Software development
Head of Data Engineering & Governance
THG —Manchester
- AI
- Leadership
- Annual leave
- Employee assistance programme
Quick apply

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Senior Data Engineer

CMSPI
Manchester

Quick apply

Job details

Full-time
6 hours ago

Qualifications

FTP
Data development experience
SFTP
Technical troubleshooting
Cloud infrastructure
Data integration
Azure
Computer Science
Mathematics
Software development operations experience
Cloud engineering experience
ETL data integration
CI/CD pipelines
Continuous integration
Systems engineering
Physics
DevOps implementation
Microsoft Azure
Infrastructure provisioning automation

Full job description

KEY INFORMATION

Position: Senior Data Engineer

Reporting to: Data Engineering Manager

Location: Manchester

Overview of the Role:

As a Senior Data Engineer, you will be an integral part of a cross-functional feature development squad You will play a key role in the evolution of our payments intelligence platform towards a Databricks-native and increasingly agentic operating model. You will design, build and operate secure data ingestion, orchestration and platform capabilities, using Databricks as the first-choice execution platform and Azure services where appropriate. The focus remains on production data engineering rather than AI model development: creating reliable, observable and well-governed foundations that can be operated by both engineers and automated/agentic workflows. You will work across client onboarding, data retrieval, ELT, CI/CD and platform reliability to deliver continuous business value.

JOB ROLEKey accountability of this role:

Delivery, support and continuous improvement of secure, scalable, Azure/Databricks data capabilities and infrastructure on our payments intelligence platform.

Key responsibilities will include:

Collaborate within a cross-functional squad to define and deliver scalable, secure data and platform capabilities aligned with business outcomes.
Design Databricks-native solutions as the default, using Spark/SQL, Lakeflow Jobs, Unity Catalog, Volumes and Databricks Asset Bundles, with Azure services used where they add value.
Build and operate data retrieval and ingestion across APIs, SFTP/FTPS and browser automation, migrating suitable orchestration from external services into Databricks-native workflows.
Own client data onboarding flows, including configuration, historical backfills, validation, data quality, monitoring and operational handover.
Build reusable platform capabilities and guardrails that enable agentic workflows to safely automate onboarding, operational diagnosis and routine engineering tasks, with human approval where required.
Engineer for production reliability through observability, alerting, retries/idempotency, failure recovery, performance and cost optimisation; investigate complex failures and drive root-cause fixes.
Deliver changes through version control, automated testing, CI/CD and Infrastructure as Code, maintaining secure coding and deployment standards through code review.
Apply strong security and governance practices across Unity Catalog, Entra/RBAC, secrets, credentials and data access.
Use advanced Python with strong SQL/Spark skills to develop maintainable, reusable libraries, frameworks and data pipelines.
Mentor data engineers and drive continuous improvement, evaluating new Databricks and automation capabilities against clear technical and business value.

Requirements

WHAT WE’RE LOOKING FORYou are a great match if:

3+ years professional experience as a Data Engineer, DevOps Engineer or Systems Engineer delivering production data platforms.
Strong hands-on experience with Azure Databricks, including Spark/SQL, workflow orchestration and production lakehouse data engineering.
Advanced proficiency in Python for data retrieval, processing, automation, integration and reusable engineering libraries.
Experience designing and operating ETL/ELT pipelines with data quality controls, schema handling, monitoring and failure recovery.
Expertise in CI/CD, version-controlled deployment and automated testing for data or platform workloads.
Experience integrating data through APIs and secure file transfer (SFTP/FTPS), including secure handling of credentials and secrets.
Strong Microsoft Azure knowledge, including ADLS, Azure DevOps and Entra/RBAC, with experience designing and deploying infrastructure.
Strong production troubleshooting, problem-solving and operational support skills.
Degree in Computer Science, Mathematics, Physics or other STEM related subject.

Benefits

What we offer…

Excellent performance-based earning opportunity, including Objective-driven bonuses.
Ability to advance career and expand professional experiences in a hyper-growth company.
Future opportunity for equity, rewarded to high performers.
Payments industry training and continuous training in respective role.
Personalised individual development plan, aligned to professional goals.

Quick apply

Refine Your Search

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