Data Engineer: Scalable Financial Pipelines (Hybrid)

Oscar; Manchester; Hybride; GBP 65 000 - 85 000; Plein temps

Avantages offerts par ce poste

Hybrid working

Competitive salary £65k-£85k

Résumé du poste

Oscar in Manchester is seeking a Data Engineer to join its growing data and technology team. This hybrid role focuses on designing, building and maintaining data pipelines using modern cloud platforms to support financial reporting and decision-making.

You will collaborate with Data Analysts, BI Developers and software engineers, optimise ETL/ELT processes, and ensure data quality, governance and security across critical datasets. This is a hands-on role with real impact on business insights.

Qualifications

• Proven Data Engineer with scalable data pipelines.
• Strong SQL, Python and data transformation skills.
• Experience with cloud data platforms (Azure/AWS).
• Knowledge of data warehousing, modelling and governance.
• Experience with Git, CI/CD and testing practices.
• Excellent communication with technical and non-technical stakeholders.

Responsabilités

• Design, build and maintain scalable data pipelines for financial data.
• Develop and optimise ETL/ELT processes for accuracy and accessibility.
• Create data models and warehouse solutions for reporting and BI.
• Work with cloud platforms to improve scalability and cost efficiency.
• Implement data quality checks and monitoring for data integrity.
• Collaborate with analysts, engineers and stakeholders on requirements.
• Ensure security, governance and regulatory compliance of data pipelines.
• Adopt CI/CD, version control and automated testing in workflows.

Connaissances

SQL

Python

ETL/ELT pipelines

Data modelling

CI/CD

Data security & governance

Outils

Azure

AWS

Snowflake

Databricks

dbt

Airflow

Azure Data Factory

Description du poste

Oscar in Manchester is seeking a Data Engineer to join its growing data and technology team. This hybrid role focuses on designing, building and maintaining data pipelines using modern cloud platforms to support financial reporting and decision-making.

You will collaborate with Data Analysts, BI Developers and software engineers, optimise ETL/ELT processes, and ensure data quality, governance and security across critical datasets. This is a hands-on role with real impact on business insights.