Data Engineer

Role: Data Engineer
Type: Contract (Inside IR35)
Location: Newcastle (Hybrid - Occasional travel)
Duration: 5-6 months
Clearance Required: SC EligibleRole Overview We are seeking an experienced Data Engineer to support the development and enhancement of large-scale data services within a modern cloud-based environment.
This role is ideal for a professional who combines strong data engineering expertise with experience in operational analytics, reporting, and observability platforms . You will be responsible for building and maintaining scalable data pipelines, integrating data from multiple sources, and delivering data products that support business operations and decision-making.
Working within Agile delivery teams, you will collaborate with technical and non-technical stakeholders to develop robust, secure, and high-quality data solutions.
Key Responsibilities

• Design, develop, and maintain scalable data pipelines and integration solutions.
• Build and optimise ETL/ELT processes for ingesting and transforming data from multiple sources.
• Develop and maintain SQL-based data models and datasets.
• Create and enhance reporting and dashboard solutions using Qlik technologies.
• Utilise Kibana and Elasticsearch for operational analytics, monitoring, and data exploration.
• Integrate data from APIs, databases, and third-party services.
• Ensure data quality, consistency, governance, and documentation standards are met.
• Support and enhance cloud-native data services within AWS environments.
• Implement and maintain CI/CD deployment pipelines and version control processes.
• Work closely with stakeholders to gather requirements and translate business needs into technical solutions.
• Contribute to Agile ceremonies, sprint planning, estimation, and continuous improvement initiatives.

Essential Skills & Experience

• Strong commercial experience as a Data Engineer, Analytics Engineer, ETL Developer , or similar role.
• Proven expertise in SQL and data modelling .
• Experience designing and supporting ETL/ELT and data integration solutions.
• Strong hands-on experience with:
  • Qlik Sense and/or QlikView
  • Kibana
  • Elasticsearch / ELK Stack
• Experience building and maintaining data pipelines.
• Knowledge of dashboarding and data visualisation best practices.
• Experience working with AWS cloud services and cloud-native architectures.
• API-based data ingestion and integration experience.
• Experience with Git and CI/CD deployment practices.
• Strong understanding of Agile delivery methodologies .
• Excellent stakeholder management and communication skills.

Desirable Experience

• Government, Public Sector , or highly regulated industry experience.
• Experience supporting live digital services or operational platforms.
• Knowledge of data governance and data quality frameworks.
• Exposure to observability, monitoring, or service analytics environments.
• Previous experience working within secure or SC-cleared programmes.

Apply Now
If you have strong experience across Qlik, Kibana, Elasticsearch, SQL, ETL/ELT, AWS, and Data Engineering , we'd love to hear from you. Submit your CV today for immediate consideration.