Senior Data Engineer (AWS)

Noir; Manchester; Hybrid; GBP 65,000 - 100,000; Full time

Job summary

Noir is seeking a Senior Data Engineer to own end-to-end data pipelines, ETL design, and real-time data solutions. You will advance automation, drive data quality, and enable BI across platforms using AWS services.

The role emphasizes leadership, cloud migration, and strong communication with stakeholders. Based in Manchester with hybrid work flexibility, the position offers significant career growth and exposure to cutting-edge data lakehouse architectures and warehouse solutions within a

Qualifications

• Experience designing, developing and maintaining robust data pipelines and ETL processes.
• Strong data quality, governance and metadata management practices.
• Ability to mentor juniors and communicate with technical and non-technical stakeholders.

Responsibilities

• Own and evolve data pipelines and ETL across platforms using AWS.
• Lead cloud migration initiatives and implement scalable architectures.
• Ensure data quality and provide guidance to junior engineers.
• Collaborate with stakeholders to translate requirements into robust data solutions.

Skills

AWS proficiency

Python

SQL

PySpark

Pipeline orchestration

Data lakehouse

Data warehousing

Agile

Communication

Tools

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)