Data Engineer

DEVI TECHNOLOGIES LIMITED; Birmingham; Hybrid; GBP 54,000 - 60,000; Full time

Job summary

DEVI TECHNOLOGIES LIMITED in Birmingham is seeking a Data Engineer to design, develop and maintain scalable data systems and data engineering solutions. You will build and maintain data pipelines to collect, process, transform and integrate data from multiple sources to support reporting and analytics.

The role offers hybrid working arrangements with 4 days remote, a salary of £54,000 to £60,000 per year, and permanent, full-time employment.

Qualifications

• Experience building scalable data pipelines and data architectures.
• Strong knowledge of ETL/ELT processes and data integration techniques.
• Familiarity with data quality controls and data governance.

Responsibilities

• Design, develop and maintain scalable data systems and data engineering solutions.
• Build and maintain data pipelines to collect, process, transform and integrate data from multiple sources.
• Monitor data pipelines and data platforms to identify performance and data-quality issues.
• Investigate and resolve technical problems relating to data processing, integration, storage and availability.
• Develop and maintain technical documentation covering data architecture and pipelines.

Skills

Data Engineering

ETL/ELT

Data Pipeline

Database Design

Data Modelling

Data Integration

Data Quality

Performance Optimisation

Job description

Design, develop and maintain scalable data systems and data engineering solutions to meet business and technical requirements.

Build and maintain data pipelines to collect, process, transform and integrate data from multiple internal and external sources.

Analyse business and technical requirements and translate them into appropriate data architecture and engineering solutions.

Design and implement processes for extracting, transforming and loading data into databases, data warehouses and other data platforms.

Develop and maintain data models, database structures and data integration processes to support organisational requirements.

Integrate structured and unstructured data from multiple systems and ensure data is available in appropriate formats for analysis and reporting.

Develop automated processes for data ingestion, transformation, validation and processing.

Monitor data pipelines and data platforms to identify performance, reliability and data-quality issues.

Investigate and resolve technical problems relating to data processing, integration, storage and availability.

Implement appropriate data validation and quality controls to maintain the accuracy, consistency and reliability of organisational data.

Optimise data pipelines, database queries and processing workflows to improve system performance and efficiency.

Work with business analysts, data analysts, software developers and other technical professionals to understand data requirements and deliver appropriate solutions.

Assess existing data systems and recommend improvements to data architecture, integration methods and processing capabilities.

Support the implementation and integration of new data technologies and platforms in accordance with organisational requirements.

Develop and maintain technical documentation covering data architecture, data models, data pipelines, system configurations and integration processes.

Apply appropriate data security, access-control and data-management requirements when designing and maintaining data solutions.

Test data engineering solutions and validate data outputs to ensure they meet defined technical and business requirements.

Monitor and maintain data engineering solutions to ensure reliable and efficient operation of organisational data systems.

Data Engineering ETL/ELT & Data Pipeline Development Database Design & Data Modelling Data Integration, Validation & Quality Management Data Platform Performance & Optimisation

Proud member of the Disability Confident employer scheme

Data Engineer

Company: DEVI TECHNOLOGIES LIMITED

Salary: £54,000 to £60,000 a year

Hours: Full-time

Location: Birmingham, B18 6BA

Working pattern: Hybrid - 4 days remote

Job type: Permanent

Posting date: 2 Oct 2026

Closing date: 1 Nov 2026

Summary

Design, develop and maintain scalable data systems and data engineering solutions to meet business and technical requirements.

Build and maintain data pipelines to collect, process, transform and integrate data from multiple internal and external sources.

Analyse business and technical requirements and translate them into appropriate data architecture and engineering solutions.

Design and implement processes for extracting, transforming and loading data into databases, data warehouses and other data platforms.

Develop and maintain data models, database structures and data integration processes to support organisational requirements.

Integrate structured and unstructured data from multiple systems and ensure data is available in appropriate formats for analysis and reporting.

Develop automated processes for data ingestion, transformation, validation and processing.

Monitor data pipelines and data platforms to identify performance, reliability and data-quality issues.

Investigate and resolve technical problems relating to data processing, integration, storage and availability.

Implement appropriate data validation and quality controls to maintain the accuracy, consistency and reliability of organisational data.

Optimise data pipelines, database queries and processing workflows to improve system performance and efficiency.

Work with business analysts, data analysts, software developers and other technical professionals to understand data requirements and deliver appropriate solutions.

Assess existing data systems and recommend improvements to data architecture, integration methods and processing capabilities.

Support the implementation and integration of new data technologies and platforms in accordance with organisational requirements.

Develop and maintain technical documentation covering data architecture, data models, data pipelines, system configurations and integration processes.

Apply appropriate data security, access-control and data-management requirements when designing and maintaining data solutions.

Test data engineering solutions and validate data outputs to ensure they meet defined technical and business requirements.

Monitor and maintain data engineering solutions to ensure reliable and efficient operation of organisational data systems.

Essential requirements

Data Engineering ETL/ELT & Data Pipeline Development Database Design & Data Modelling Data Integration, Validation & Quality Management Data Platform Performance & Optimisation

Proud member of the Disability Confident employer scheme

About Disability Confident

Disability Confident is a government scheme. It encourages employers to recruit and retain disabled people and those with long term health conditions.