Senior Data Engineer (AWS)

Noir; Manchester; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Noir is seeking a Senior Data Engineer to join the Manchester data team and drive the evolution of the company’s data infrastructure. You will develop sophisticated data integrations with multiple platforms, real-time data solutions, and automation to enable robust business intelligence.

The role focuses on designing, building, and maintaining robust data pipelines and ETL processes using AWS services, while contributing to cloud migration, data quality, and architectural solutions.

Qualifications

• Strong experience building data pipelines and ETL architectures.
• Proficient in Python, SQL and PySpark.
• Hands-on AWS data services experience.
• Experience communicating with stakeholders and mentoring juniors.

Responsibilities

• Design, develop and maintain robust data pipelines and ETL processes.
• Develop real-time data solutions and enhance automation.
• Lead data quality initiatives and data governance.
• Contribute to cloud migration and architectural solutions.
• Provide technical guidance to junior engineers and liaise with stakeholders.

Skills

Python

SQL

PySpark

AWS

ETL design

Data warehousing

Agile

Communication

Cloud migration

Tools

AWS Glue

AWS Lambda

AWS S3

AWS Redshift

Amazon EMR

Data Lakehouse

Pipeline Orchestration

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)