Data engineer Work, Jobs in Parbold, Lan (with Salaries)

Junior Data Engineer
Perch Group —Blackpool
- £35,000 a year
- Full-time
- Hybrid work
- SQL
- Free parking
- Health & wellbeing programme
Quick apply
11h
Data Engineer
Perch Group —Blackpool
- £40,000 - £45,000 a year
- Full-time
- Hybrid work
- Work from home
- Life insurance
Quick apply
8h
Data Engineer
Clio —Manchester
- £69,700 - £94,300 a year
- Full-time
- SQL
- Communication skills
- Life insurance
Senior Data Engineer
Perch Group —Blackpool
- £65,000 a year
- Full-time
- Hybrid work
- Mentoring
- Work from home
- Life insurance
Quick apply
8h
Data Engineer
Network Plus —Salford
- £55,000 - £65,000 a year
- Hybrid work
- Azure
- Agile
- Communication skills
Quick apply
Data Engineer (Snowflake)
Computacenter —Salford
- Azure
- AWS
- Agile
Data Engineer
Roke —Manchester
- Full-time
- Java
- AWS
- Python
Data - UK
DBD International —Warrington
- Hybrid work
- Azure
- Computer Science
- SQL
13d
Data Engineer
NCC Group —Manchester
- Full-time
- Hybrid work
- Azure
- Computer Science
- Databases
- Annual leave
Quick apply
Data Engineer
Travel Counsellors —Manchester
- Hybrid work
- Master's degree
- Machine learning
- AI
Quick apply
13d
Data Engineer
The Granite Group —Liverpool
- £65,000 - £70,000 a year
- Full-time
- Hybrid work
- Mentoring
- Communication skills
- Flexible schedule
Quick apply
Data Warehouse Developer
Perch Group —Blackpool
- £55,000 a year
- Full-time
- Hybrid work
- Health & wellbeing programme
- Work from home
Quick apply
7h
Data Engineer - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Computer Science
- Engineering
- Master's degree
Mid-Level Data Engineer (Microsoft Fabric)
Delphi Care Solutions —Preston
- £55,000 - £70,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- APIs
- Annual leave
- Employee assistance programme
Quick apply
6d
Senior Data Platform Engineer
Alfred H Knight Group —Liverpool
- Full-time
- Analysis skills
- No degree
- Mentoring
- Employee assistance programme
Quick apply
Data Engineer
AJ Bell —Manchester
- Full-time
- Hybrid work
- Analysis skills
- Communication skills
- Analytics
- Employee assistance programme
- Gym membership
Quick apply
Senior Data Engineer
The Protein Works™ —Liverpool
- Full-time
- No degree
- AI
- Work from home
- Employee discount
Quick apply
Trainee IT / Data Cabling Engineer
Network Solution and Surveys —Manchester
- From £120 a day
- Full-time
- No experience needed
- Travel
- Hand tools
Quick apply
8d
Data Engineer
Leonard Curtis —Manchester
- Full-time
- Hybrid work
- SQL
- Free parking
- Health & wellbeing programme
Quick apply
Data Engineer
Ripjar —Manchester
- Full-time
- Remote
- Computer Science
- Annual leave
- Employee assistance programme
Quick apply

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Junior Data Engineer

Perch Group -
Blackpool

Quick apply

Job details

Permanent | Full-time
£35,000 a year
11 hours ago

Benefits

Free parking
Casual dress
Health & wellbeing programme
Cycle to work scheme
Discounted or free food
Company pension
Company events
Flexible schedule
Sick pay
On-site parking

Qualifications

Data modelling
Spark
SQL
ETL data integration
Data pipeline
Data warehouse

Full job description

Perch Group are searching for a Junior 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.

What are we looking for?

We’re looking for a Junior Data Engineer who is eager to learn, curious about data engineering best practices, and excited to be part of an evolving modern data platform.

This role is ideal for someone early in their engineering career who wants hands‑on experience with Azure Data Factory, Databricks, and T‑SQL, and who is motivated by the opportunity to contribute to our move toward metadata‑driven and config‑driven data pipelines.

You will work closely with senior and mid‑level engineers, learning how scalable data ingestion and transformation frameworks are built, maintained, and automated.

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

Engineering Support & Delivery

Assist in building and maintaining pipelines using Azure Data Factory (ADF) and Databricks.
Write basic T‑SQL queries for data transformation and validation tasks.
Contribute to the development of reusable components and parameterised pipeline elements.
Support data modelling tasks by preparing datasets and following established modelling patterns.
Help ensure data pipelines run reliably, efficiently, and consistently.

Learning, Development & Collaboration

Work under guidance from senior engineers to understand metadata‑driven concepts and automated pipeline design.
Participate in code reviews to learn good engineering practice.
Engage with analysts and data consumers to understand requirements and assist in solution delivery.
Learn and apply DevOps basics: version control, documentation, and testing fundamentals.

Operational Tasks

Monitor pipelines and assist with issue resolution.
Perform quality checks and help identify data anomalies.
Contribute to process improvements and documentation updates.

Does this sound like you?

Please note - we do not expect mastery - just solid foundations and a genuine desire to learn.

Essential

Basic experience writing T‑SQL (SELECT queries, joins, simple transformations).
Exposure to ETL/ELT concepts or data transformation processes.
Understanding of data modelling fundamentals (e.g., tables, relationships, dimensional concepts).
Strong problem‑solving mindset and willingness to learn modern engineering practices.

Desirable

Familiarity with Python or PySpark.
Some hands‑on experience (academic, internship, or practical) with Azure Data Factory and / or Databricks or Spark.
Exposure to Azure DevOps (repos, pipelines).
Experience with any cloud platform, especially Azure.
Awareness of metadata‑driven engineering or reusable pipeline patterns.
Experience handling structured datasets (CSV, JSON, relational tables).

The Application Timeline

A first stage call with the internal recruitment team (15 minute call)
A face to face or video call with the hiring manager (30- 45 minutes)
On site or Zoom technical test (up to 2 hours)

What’s In It For You

£35,000 + up to 20% of your annual salary, paid as a bonus.
37.5 hours per week. We offer flexible working hours 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.

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.

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.

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 - As we are financial services company, we are required to run DBS and Credit Checks on all of our successful candidates. This information MUST be disclosed at the time of your initial screening call should you be invited to interview.

Job Types: Full-time, Permanent

Pay: £35,000.00 per year

Benefits:

Casual dress
Company events
Company pension
Cycle to work scheme
Discounted or free food
Free parking
Health & wellbeing programme
On-site parking
Sick pay

Ability to commute/relocate:

Blackpool FY4 5LW: reliably commute or plan to relocate before starting work (required)

Application question(s):

Will you now or in the future require sponsorship for employment visa status?

Experience:

Data engineer: 1 year (required)

Work authorisation:

United Kingdom (required)

Work Location: Hybrid remote in Blackpool FY4 5LW

Quick apply

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