Senior Data Engineer (AWS)

Noir; Manchester; Hybrid; GBP 75,000 - 110,000; Full time

Job summary

Noir, a Manchester-based global technology leader, seeks a Senior Data Engineer to lead the evolution of the company’s data infrastructure. You will develop sophisticated data integrations, real-time data solutions and advanced BI capabilities.

You’ll own designing, developing and maintaining robust data pipelines and ETL using AWS, contribute to cloud migration, ensure data quality, and provide technical guidance to junior engineers. Hybrid role with strong career development.

Qualifications

• Senior Data Engineer responsible for designing and maintaining robust data pipelines and ETL processes.
• Strong AWS proficiency with Glue, Lambda, S3, Redshift and EMR.
• Proficiency in Python, SQL, PySpark and data pipeline orchestration.
• Experience with data lakehouse architectures and data warehousing solutions.
• Agile experience and ability to communicate with both technical and non-technical stakeholders.

Responsibilities

• Design, develop and maintain robust data pipelines and ETL processes.
• Build real-time data solutions and automation.
• Contribute to cloud migration and architectural improvements.
• Ensure data quality and integrity across platforms.
• Provide technical guidance to junior engineers and cross-functional teams.

Skills

Strong communication

Agile experience

Mentoring juniors

Tools

Python

SQL

PySpark

AWS Glue

AWS Lambda

AWS S3

AWS Redshift

Amazon EMR

Airflow

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)