Senior Data Engineer (AWS)

Noir; Manchester; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Noir, a global technology leader, is seeking a Senior Data Engineer to lead the evolution of the data platform from Manchester. You will own the design, development and maintenance of scalable data pipelines and ETL using AWS services, enabling real-time analytics and robust BI capabilities.

You will contribute to cloud migration, implement architectural solutions, ensure data quality, and mentor junior engineers.

Qualifications

• Strong experience designing robust data pipelines and ETL processes.
• Proven AWS data lakehouse/data warehousing experience.
• Excellent communication with technical and non-technical stakeholders.

Responsibilities

• Design, develop and maintain robust data pipelines and ETL processes.
• Build real-time data solutions and automate data workflows.
• Collaborate on cloud migration and BI enablement.

Skills

AWS proficiency

Python

SQL

PySpark

Data pipelines & ETL

Real-time data

Data quality

Agile / stakeholder comms

Tools

AWS Glue

AWS Lambda

AWS S3

AWS Redshift

Amazon EMR

Job description

Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a skilled Senior Data Engineer to become an integral part of the their Data Engineering Team, spearheading the evolution of the company's data infrastructure. You will be developing sophisticated data integrations with various platforms, developing real‑time data solutions, improving automation and enabling crucial business intelligence.

We are seeking a Senior Data Engineer capable of taking ownership of designing, developing, and maintaining robust data pipelines and ETL processes using AWS services. You will also be contributing to Cloud migration and implementing architectural solutions, as well as ensuring data quality and integrity and providing technical guidance to Juniors.

The successful candidate will have strong AWS proficiency, including experience with AWS services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR. Proven expertise in Python, SQL, Pipeline Orchestration and PySpark is also expected, as is experience with data lakehouse architectures and data warehousing solutions. Agile experience is also key, as are excellent communication skills to be able to effectively communicate with both technical and non-technical stakeholders.

We are keen to hear from talented Senior Data Engineer candidates from all backgrounds.

This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers.

Location: Manchester (hybrid)