Data Engineer
Location: Hybrid (2 days per week on‑site)
About the Role
An exciting opportunity has arisen for an experienced Data Engineer with strong Talend Data Integration skills to join a growing data team undergoing major transformation. You will design, build, and maintain resilient, automated data pipelines that fuel reporting, analytics, and performance management across the organisation.
Working with modern AWS technologies (S3, Glue, Redshift, Spectrum), you'll help shape an open, data‑driven culture and ensure high‑quality, reliable data is available to stakeholders. This role is ideal for someone who enjoys solving complex data problems and building scalable, future‑ready solutions.
Key Responsibilities
Build, enhance, and support ETL/ELT processes using Talend.
Develop scalable, automated data pipelines that deliver high‑quality structured data.
Monitor pipeline performance and ensure data is secure, accurate, and available.
Work with architects, analytics teams, developers, and third‑party partners.
Translate business requirements into reliable technical solutions.
Contribute to data standards, governance, and continuous process improvement.
Operate within Agile (Scrum) delivery practices including CI/CD principles.
Skills & Experience Required:
Proven experience using Talend Data Integration in a data engineering role.
Strong knowledge of AWS services (S3, Glue, Redshift, Spectrum).
Solid SQL skills and experience in data warehousing and ETL best practices.
Experience working with REST/SOAP APIs for data ingestion.
Understanding of data governance principles.
Exposure to ITIL or similar service management frameworks.
Excellent analytical, problem‑solving, and communication skills.
Experience contributing to Agile/Scrum delivery.Desirable
Scripting experience (Shell, Python, PowerShell).
Knowledge of Master Data Management or predictive analytics.
Experience within regulated industries (utilities, finance, etc.).
Familiarity with performance management and regulatory reporting.
Benefits:
Competitive salary depending on experience.
Hybrid working model
Generous annual leave plus optional purchase of additional days.
Pension contribution scheme.
Life assurance and additional support policies.
And more