Data and development engineer Work, Jobs in Birmingham, Eng (with Salaries)

Data Engineer
AT Rhizome Technologies Ltd —Birmingham
- £57,338 - £62,500 a year
- Full-time
- Azure
- SQL
- In-person
Quick apply
23h
Data and Development Engineer
Gallifordtry —Solihull
- Full-time
- Databases
- Machine learning
- Organisational skills
- Employee assistance programme
- Employee discount
6d
Planner
McDermott Building & Civil Eng Ltd —Coleshill
- Full-time
- Civil engineering
- Contracts
- Construction experience
Quick apply
14d
Resource and Workflow Manager
West Midlands Combined Authority —Birmingham
- £59,417 - £66,614 a year
- Part-time
- Continuous improvement
- Agile
- Communication skills
- Annual leave
- Employee discount
8d
PMO Co-ordinator
Laing O'Rourke —Birmingham
- Continuous improvement
- Travel
- Communication skills
2h
Data Engineer
Voyage Care —Lichfield
- Azure
- Annual leave
- Employee discount
Network Engineer
NTT Data UK —Birmingham
Lead Data Engineer
Gymshark —Solihull
- Hybrid work
- Mentoring
- Employee discount
- Gym membership
Quick apply
5d
National Data and Analytics End to End Developer
Aldi —Atherstone
- £55,125 - £63,500 a year
- Hybrid work
- Continuous improvement
- Communication skills
- Time management
- Annual leave
- Sick pay
Data Engineer
Capgemini —Birmingham
- Hybrid work
- Azure
- Analysis skills
- Machine learning
Principal Data Engineer
AT Rhizome Technologies Ltd —Birmingham
- £63,039 - £80,000 a year
- Full-time
- Azure
- AWS
- Mentoring
Quick apply
1d
Additive Research & Development Engineer - HTRC
The Manufacturing Technology Centre —Coventry
- £40,000 - £60,000 a year
- Full-time
- Engineering
- Continuous improvement
- No degree
Quick apply
Battery Disassembly and Test Technician
EMR UK —Birmingham
- Forklift
- Quality control
- Mechanical knowledge
- Annual leave
1d
Graduate Process Engineer - Water - 2027 (Birmingham)
Stantec —Birmingham
- Hybrid work
- Engineering
- Bachelor's degree
8d
Network Engineer
NTT Ltd —Birmingham
Data Integration Engineer
Gallifordtry —Solihull
- Full-time
- Organisational skills
- Agile
- Communication skills
- Employee assistance programme
- Employee discount
6d
Human Factors Consultant (All Levels)
WSP —Birmingham
- Part-time
- Hybrid work
- Team management
- Flexitime
- Work from home
Secure Data Engineer
Capgemini —Birmingham
- Hybrid work
- DevOps
- Master's degree
- Machine learning
Senior Software Engineer - Pay Sustainable Engineering
Perk —Birmingham
- Full-time
- Hybrid work
- English
- Mentoring
- AI
- Relocation assistance
Technologist
Gensler —Birmingham
- Full-time
- Bachelor's degree
- Travel
- Leadership
- Profit sharing

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Data Engineer

AT Rhizome Technologies Ltd
Birmingham

Quick apply

Job details

Permanent | Full-time
£57,338 - £62,500 a year
23 hours ago

Qualifications

Data development experience
Technical troubleshooting
Data integration
Azure
Stakeholder collaboration
Data quality analysis
Relational databases
SQL querying
Google Cloud Platform
Data and database experience
SQL
ETL data integration
Technical writing
Multidisciplinary collaboration
Root cause analysis
Microsoft Azure

Full job description

About the Role:

Birmingham is a growing hub for technology, innovation, and digital business, and at AT Rhizome Technologies Ltd, we build reliable data solutions that help organisations make smarter decisions. We work with modern cloud platforms, scalable data pipelines, and analytics systems that turn complex information into useful business insights. We are looking for a Data Engineer who can take ownership of our data infrastructure and help develop efficient, dependable solutions. You will work closely with software engineers, analysts, and business stakeholders to transform raw data into trusted datasets and practical insights.

Why Work With Us?

The Environment: Our Birmingham office provides a collaborative setting where engineers can work closely with colleagues across technology and business teams. We value practical problem solving, knowledge sharing, and a supportive working environment.

Modern Data Stack: We use modern cloud technologies, relational databases, data processing tools, and automated workflows to build scalable data platforms.

Professional Growth: You will have opportunities to develop your technical skills, work with experienced engineers, and take part in projects involving cloud data platforms, automation, analytics, and business intelligence.

Meaningful Projects: Your work will contribute directly to systems that support reporting, operational decision making, and digital products used by our clients and internal teams.

Key Responsibilities:

Data Pipeline Development: Build, maintain, and improve reliable data pipelines that collect and transform information from multiple sources.

Data Integration: Connect databases, applications, APIs, and other data sources while ensuring data is transferred accurately and efficiently.

Data Quality: Monitor data pipelines and investigate data quality issues, inconsistencies, and processing failures.

Cloud Data Solutions: Work with cloud based data services and help improve the scalability, performance, and reliability of our data infrastructure.

Database Management: Develop efficient SQL queries and support the design and optimisation of data models and database structures.

Collaboration: Work with software engineers, business analysts, and stakeholders to understand data requirements and deliver practical technical solutions.

Documentation: Maintain clear documentation for data pipelines, processes, data models, and technical procedures.

What We Are Looking For:

Experience: 2 to 4 years of professional experience in data engineering, data development, analytics engineering, or a closely related technical role.

Technical Skills: Strong SQL skills and practical experience with Python or another programming language used for data processing.

Data Engineering: Experience building or maintaining ETL or ELT pipelines and working with structured and semi structured data.

Cloud Knowledge: Familiarity with at least one major cloud platform such as AWS, Microsoft Azure, or Google Cloud.

Database Knowledge: Understanding of relational databases, data modelling, and query optimisation.

Problem Solving: You are comfortable investigating technical problems, identifying the underlying cause, and developing practical solutions.

Communication: You can explain technical data concepts clearly to both technical colleagues and non technical stakeholders.

Mindset: You are organised, curious, and pragmatic. You care about data quality and reliability while understanding the importance of delivering solutions that meet real business needs.

Pay: £57,338.00-£62,500.00 per year

Work Location: In person

Quick apply

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Data Engineer