Python Work, Jobs in Horwich, Gtm (with Salaries)

Data Engineer
Perch Group —Blackpool
- £40,000 - £45,000 a year
- Full-time
- Hybrid work
- Work from home
- Life insurance
Quick apply
11d
Junior Data Scientist - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- SQL
- Bachelor's degree
- AI
Data Analyst
Evontrex —Manchester
- £30,000 - £32,000 a year
- Full-time
- In-person
- SDLC
- Free parking
- Store discount
Quick apply
Graduate Portfolio Performance Analyst
Perch Group —Manchester
- £30,000 - £35,000 a year
- Full-time
- Hybrid work
- Communication skills
- Analytics
- Health & wellbeing programme
- Work from home
Quick apply
2d
Data - UK
DBD International —Warrington
- Hybrid work
- Azure
- Computer Science
- SQL
Data Engineer - AWS (12-month FTC)
Coventry Building Society —Manchester
- £41,430 - £55,470 a year
- Full-time
- Agile
Data Scientist - Computer Vision Specialist
Digica —Sale
- Full-time
- Hybrid work
- English
- AI
Quick apply
Data Centre Operational Engineer
Easy Compute —Bury
- £35,000 - £40,000 a year
- Full-time
- Maintenance
- Travel
- Scripting
- Free parking
Quick apply
4d
DATA ANALYSTS
i5 Solutions Europe Limited —Manchester
- Computer Science
- SQL
- Bachelor's degree
Data Analyst
Autotrader —Manchester
- £35,000 - £60,000 a year
AI Systems & Reporting Specialist
Forrest Fresh Foods —Rochdale
- £45,000 - £55,000 a year
- Full-time
- Azure
- SQL
- APIs
- Free parking
Quick apply
Data Analyst
Mott MacDonald —Altrincham
- Part-time
- Hybrid work
- Analysis skills
- Analytics
- Annual leave
- Employee discount
2d
Data Operations Intern
Somerce —Manchester
- Full-time
- Hybrid work
- Maths
Quick apply
3d
Data Scientist - Manchester Hybrid
INRIX —Altrincham
- £40,000 - £52,000 a year
- Full-time
- AWS
- Maths
- Presentation skills
2d
Senior Automation Tester (Python) – Agentic AI & LLM Systems (Hybrid)
Resillion —Manchester
- Remote
- Master's degree
- AI
Quick apply
AI & Automation Partner
Open Partners —Manchester
- Hybrid work
- Master's degree
- Software development
- APIs
Quick apply
10d
Technical Specialist - AI & Creative Technology
Manchester Metropolitan University —Manchester
- £35,608 - £39,906 a year
- Full-time
- University
- Software development
- AI
- Life insurance
AI Engineer - Fraud
The Granite Group —Liverpool
- Up to £45,000 a year
- Full-time
- Hybrid work
- Master's degree
- AI
- Flexible schedule
Quick apply
12d
Web Developer office based
Hivebyte Technology Ltd —Manchester
- From £28,000 a year
- Full-time
- AWS
- Agile
- In-person
Quick apply
11d
IT Solutions Deployment Specialist
Farkys Technology Solutions ApS —Manchester
- £25,420.00 - £70,784.28 a year
- Azure
- AWS
- In-person
- Health & wellbeing programme
Quick apply
11h

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Data Engineer

Perch Group -
Blackpool

Quick apply

Job details

Permanent | Full-time
£40,000 - £45,000 a year
11 days ago

Benefits

Company pension
Work from home
Company events
Life insurance
Sick pay

Qualifications

CI/CD
Performance tuning
ETL data integration
CI/CD pipelines
Data warehousing
Data pipeline
Data warehouse
T-SQL

Full job description

Perch are recruiting for a Data Engineer.

At Perch Group, our vision is clear: to lead the UK debt purchase and collection industry by harnessing cutting-edge technology to drive ethical, efficient, and data-driven debt resolution.

Our annual mission is to empower hundreds of thousands of customers to positively engage with and resolve their outstanding debts. We do this through an empathetic and customer-centric approach that is at the heart of our success.

Could this be the next step in your career?

We’re looking for a Data Engineer to support the development of our modern data platform and contribute to our transition toward metadata driven and configuration led engineering. This role is ideal for someone with strong fundamentals in data engineering who is ready to grow into more advanced automation focused work.

You will build and maintain data pipelines, contribute to reusable engineering patterns, and work alongside senior engineers to uplift automation, data quality, and delivery standards.

So, what will your day-to-day look like?

Engineering Delivery

Build, maintain, and enhance data pipelines using Azure Data Factory, Databricks, Python and T SQL.
Apply parameterisation, configuration, and reusable components in ADF and Databricks where appropriate.
Support the creation of metadata driven patterns by implementing components and contributing to framework evolution.
Assist in developing and refining data models and data warehouse layers.
Ensure pipelines are performant, reliable, and aligned with engineering and governance standards.

Collaboration & Continuous Improvement

Work closely with senior engineers, analysts, and architects to understand requirements and deliver robust, well designed solutions.
Contribute to code reviews, documentation, and quality improvement initiatives.
Participate in DevOps practices such as CI/CD, automated testing, and version control.

Operational Support

Troubleshoot and resolve pipeline issues, ensuring stability and data accuracy.
Monitor pipeline performance and help implement improvements.
Support continuous optimisation and lifecycle management.

Does this sound like you?

Essential

3+ years T SQL including joins, transformations, stored procedures, and performance basics.
3+ years Azure Data Factory, including pipeline development, parameter usage, and basic templates.
3+ years Databricks experience (PySpark, Delta Lake, notebooks).
2+ years Python Experience
Experience working with data warehouses and structured modelling concepts.
Strong understanding of ETL/ELT practices and data centric engineering.

Desirable

Exposure to metadata driven or config driven engineering practices.
Basic PySpark optimisation or Delta Lake performance tuning.
Experience using Azure DevOps (repos, pipelines).
Understanding of data governance, data quality tooling, or lineage concepts.
Experience in regulated environments or financial services.

The Application Timeline

A first stage video call with the internal recruitment team (15 minutes)
A technical test held over Zoom (up to 2 hours)
A face-to-face interview with the hiring manager (1 hour)

Typically, the average successful applicant will be within this timeline for 2-3 weeks. Please note we will close this role once we have enough applications for the next stages therefore you should submit your application asap to avoid any disappointment.

If you do not receive a response after 3 weeks of applying, please assume you have been unsuccessful as we may experience a high volume of applications.

Why you should be EXCITED to apply…

£40,000 - £45,000 DOE, + up to 20% of your annual salary, paid as a bonus.
This role is hybrid and based at our Blackpool office.
37.5 hours per week. We offer flexible and hybrid working between our core hours of 8am- 6pm, Monday to Friday.
The opportunity to complete formal qualifications and learn on the job in a successful, growing organisation.
And many more benefits to support your wellbeing and professional development.

So, what are you waiting for? Submit your application today.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

If you have any questions or suggestions of how we can assist you in your application due to disability or personal reasons, please email [email protected].

PLEASE NOTE - All new employees must undergo a full DBS and Credit Check upon acceptance of a job offer with Perch Group.

Job Types: Full-time, Permanent

Pay: £40,000.00-£45,000.00 per year

Benefits:

Company events
Company pension
Life insurance
Sick pay
Work from home

Application question(s):

Are you willing to undergo a DBS and Credit Check in accordance with law and regulations?
Please confirm your UK Right To Work status.

Experience:

data engineering: 3 years (preferred)

Work authorisation:

United Kingdom (required)

Work Location: Hybrid remote in Blackpool FY4 5LW

Quick apply

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