Data engineer Work, Jobs in Ardingly, Wsx (with Salaries)

Data Engineer
Atlas Copco Group —Burgess Hill
- Remote
- Azure
- SQL
- Travel
12d
Data Engineer
The Royal Marsden NHS Foundation Trust —Sutton
- £55,524 - £62,652 a year
- Full-time
- Azure
- SQL
1d
Senior Data Engineer
The Royal Marsden NHS Foundation Trust —Sutton
- £63,665 - £70,887 a year
- Full-time
- Azure
- SQL
1d
Senior Data Developer
Adur & Worthing Councils —Worthing
- £42,839 - £46,142 a year
- Full-time
- SQL
- APIs
- Communication skills
- Employee assistance programme
Senior Data Engineer, Police & Public Protection Technology
Home Office —Croydon
- £51,200 - £54,200 a year
- Full-time
- SQL
- AWS
- Presentation skills
- Annual leave
7d
Lead Data Engineer
Ceox —Guildford
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
Quick apply
7d
Senior Analytics Consultant
Rittman Analytics —Brighton
- £70,000 - £90,000 a year
- Hybrid work
- English
- SQL
- Software development
- Annual leave
Quick apply

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Data Engineer

Atlas Copco Group -
Burgess Hill

Apply Now

Job details

12 days ago

Qualifications

Azure
Big data
SQL
Data pipeline
Communication skills
Python

Full job description

Our solutions are a key part of most industries - electronics, medical research, renewable energy, food production, infrastructure and many more. Working with us means working with the latest technologies and groundbreaking, sustainable innovations. Join us on our journey for a better tomorrow.

Your role

As a Data Engineer, your mission is to play a key role in a fast-growing business transformation team, unlocking the power of data to drive cutting-edge machine learning solutions. You will help build the foundations that enable predictive insights into vacuum asset performance, shaping how we use data to anticipate failures and deliver smarter, more proactive customer solutions.. You will report to the Data Analytics & Solutions Architecture Team Lead.

You will

Build and develop robust ETL pipelines, creating accessible and well-structured datasets in a Data Lake
Ensure data pipelines are reliable, monitored, and automatically report issues
Enable programmatic access to data for Data Scientists and analytics teams
Optimise performance of business-critical pipelines, defining and tracking key metrics
Collaborate with cross-functional teams to integrate subject matter expertise into data solutions
Define requirements for data linkage and quality checks to enable automated pre-processing
Support best practices through participation in design discussions and code reviews
Communicate insights and findings clearly to a range of stakeholdersdescribe main responsibility

To succeed, you will need

We encourage you to apply even if you don't meet every single requirement. We value diverse experiences and perspectives and are excited to see what you bring to the role.

You have experience working as a Data Engineer including:

Strong hands-on experience building and maintaining ETL/data pipelines
Proficiency in data engineering tools and languages such as SQL and Python
Experience working with cloud-based data platforms (ideally Microsoft Azure)
Familiarity with big data technologies such as DataBricks
Strong communication skills, with the ability to work effectively across technical and non-technical teams
A proactive and curious mindset, with a drive to continuously improve data solutions

In return, we offer

Culture of trust and accountability
Lifelong learning and career growth
Innovation powered by people
Comprehensive compensation and benefits
Health and well-being

Job location

This role offers a hybrid or fully remote working arrangement, there may be some travel required to our Global Technocolgy Centre in Burgess Hill, United Kingdom (GB).

Contact information

Talent Acquisition Team: Jessica Timperley

Company: Atlas Copco Group

Functional area:

Service

Location:

United Kingdom

City:

Burgess Hill

On-site/remote:

Remote

Brand:

Edwards

Company Name:

Edwards Ltd

Date of Posting:

May 22, 2026

Last day to apply:

June 30, 2026

Apply for this position

Apply Now

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