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

Senior Data Engineer
CMSPI —Manchester
- Full-time
- Hybrid work
- Azure
- Computer Science
Quick apply
8h
Senior Data Engineer
Northern Care Alliance NHS Foundation Trust —Salford
- £49,387 - £56,515 a year
- Full-time
- Hybrid work
- Azure
- Annual leave
6d
Data Engineer - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Computer Science
- Engineering
- Master's degree
Data & Application Developer
Ascent —Manchester
- £35,000 - £45,000 a year
- Full-time
- Machine learning
- APIs
- Agile
- Employee assistance programme
- Employee discount
Quick apply
Civil Engineer – Data Centres & Infrastructure
Arup —Manchester
- Civil engineering
- Engineering
- Leadership
3d
Senior Data Engineer
NHS Greater Manchester Integrated Care —Manchester
- £49,387 - £56,515 a year
- Full-time
- Azure
- Agile
3d
Senior Software Engineer - Data Engineering
Moody's —Manchester
- Master's degree
- Databases
- Bachelor's degree
BI Developer
takepayments Ltd —Stockport
- Hybrid work
- Computer Science
- Analysis skills
- Bachelor's degree
Quick apply
14d
Senior Data Engineer
UBDS Group —Manchester
- Hybrid work
- Machine learning
- Agile
- AI
Quick apply
Senior Data Engineer
Informed Solutions —Altrincham
- Full-time
- Hybrid work
- Mentoring
- Leadership
- Communication skills
- Gym membership
- Referral programme
Quick apply
Principal Data Engineer
CreateFuture —Manchester
- Hybrid work
- Travel
- Mentoring
Quick apply
Senior Data Engineer (ML)
CreateFuture —Manchester
- Full-time
- Hybrid work
- SQL
- Travel
Quick apply
13d
Data Programmer
XPS Pensions Group —Manchester
- Full-time
- Master's degree
- Presentation skills
- Mentoring
- Employee discount
- Referral programme
10d
Lead Data Engineer
CreateFuture —Manchester
- Hybrid work
- Travel
Quick apply
Analytics Engineer
CHEP —Manchester
- Full-time
- Hybrid work
- Analytics
SSRS Developer (Contractor)
Betfred —Warrington
- £400 a day
- Full-time
- Software troubleshooting
- SQL
Quick apply
Regulatory Data Developer (GCP)
bet365 —Manchester
- Full-time
- Software development
- AI
Quick apply
5d
Lead Data & AI Platform Engineer
OrderYOYO —Manchester
- Remote
- AI
- Analytics
Quick apply
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

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Senior Data Engineer

CMSPI
Manchester

Quick apply

Job details

Full-time
8 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

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