Data Engineer: AWS, Databricks & Pipelines (Hybrid UK)

Edenred; Swindon; Híbrido; GBP 39.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

25 days annual leave

Hybrid working

Pension scheme

Discretionary bonus

Medical & travel cover

Life insurance

Wellbeing program

Holiday trading

Season ticket loan

Cycle to Work

Employee discount platform

Referral bonus

Digital learning

Snacks & refreshments

Volunteering programme

Social events

Descripción de la vacante

Edenred PayTech in Swindon/London offers a hybrid Data Engineer role focused on designing and maintaining data pipelines and infrastructure on AWS. You will ensure data quality, collaborate with analysts, and help scale the data platform in a fast-paced fintech environment.

The role requires Databricks experience, Python (PySpark), SQL, and data-lake management, with a strong emphasis on regulatory reporting, testing, and documentation.

Formación

• Proven track record of Databricks development.
• Experience with IaC and Git.
• Strong Python (PySpark) and SQL.
• Experience with data management in a Data Lake.
• Able to explain technical issues clearly to peers and customers.
• Independent and proactive in progressing tasks.

Responsabilidades

• Design, develop and maintain data pipelines and infrastructure on AWS.
• Produce reports for regulatory compliance.
• Collaborate with business analysts to refine requirements and provide estimates.
• Proactively suggest ideas to improve the data platform and ways of working.
• Troubleshoot production issues.
• Unit Testing.
• Documentation.

Conocimientos

Databricks

IaC

Git

Python

SQL

Data lake

Explain technical issues

Independence

Learning mindset

AWS

CI/CD

Terraform

ML on Databricks

Agile Scrum

Finance sector

Herramientas

Databricks

Descripción del empleo

Edenred PayTech in Swindon/London offers a hybrid Data Engineer role focused on designing and maintaining data pipelines and infrastructure on AWS. You will ensure data quality, collaborate with analysts, and help scale the data platform in a fast-paced fintech environment.

The role requires Databricks experience, Python (PySpark), SQL, and data-lake management, with a strong emphasis on regulatory reporting, testing, and documentation.