Senior Data Engineer - Remote/Hybrid Cloud Pipelines

Searchability; Swansea; Híbrido; GBP 71.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

30 days holiday

Flexible/remote working

Benefits allowance

Pension and healthcare

Cycle to Work

Learning & development

Descripción de la vacante

Searchability is seeking a Senior Data Engineer to join a growing Data and AI team in the UK, with hybrid/remote options. You will design, build and maintain scalable data platforms and pipelines, collaborating with clients and mentoring engineers.

Strong Python, SQL, and cloud experience are essential to deliver ETL/ELT solutions and data lake/warehouse architectures. Candidates should have excellent communication and stakeholder management skills, with the ability to work across data quality,

Formación

• Strong commercial experience in data engineering with hands-on delivery.
• Excellent Python coding skills and data processing experience.
• Proficiency with cloud platforms (AWS/Azure/GCP) and data architectures.

Responsabilidades

• Build and maintain scalable data platforms and pipelines.
• Develop solutions using Python and cloud services (AWS/Azure/GCP).
• Work across ETL/ELT, batch and streaming data pipelines.
• Build data lakes and data warehouses and ensure data quality.

Conocimientos

Data engineering

Python

SQL

CI/CD

Git

Infrastructure as Code

Data quality

Unit testing

Stakeholder management

Communication

Herramientas

Airflow

AWS Glue

Pandas

Pydantic

Parquet

Terraform

Docker

Descripción del empleo

Searchability is seeking a Senior Data Engineer to join a growing Data and AI team in the UK, with hybrid/remote options. You will design, build and maintain scalable data platforms and pipelines, collaborating with clients and mentoring engineers.

Strong Python, SQL, and cloud experience are essential to deliver ETL/ELT solutions and data lake/warehouse architectures. Candidates should have excellent communication and stakeholder management skills, with the ability to work across data quality,