Senior Data Engineer - Python / SQL / AWS - Fully Remote

JR United Kingdom; Leeds; Remote; GBP 70,000 - 95,000; Full time

Job summary

A leading company in the UK is seeking a Senior Data Engineer to lead the design and development of data pipelines. This fully remote role requires expertise in Python, SQL, and AWS, along with strong troubleshooting skills. The successful candidate will play a pivotal role in enhancing data solutions and mentoring colleagues, while earning a competitive salary up to £95,000 plus benefits.

Qualifications

• 10+ years of experience in Data Engineering.
• Expert in building scalable data pipelines.
• Hands-on experience with AWS technologies.

Responsibilities

• Lead the design and development of data pipelines.
• Collaborate with Software Engineers and Product teams.
• Ensure code adheres to engineering standards.

Skills

Python

SQL

AWS

Kafka

Terraform

Troubleshooting

Tools

AWS Glue

AWS Athena

AWS S3

AWS Lambda

AWS RDS

AWS Redshift

AWS QuickSight

AWS Kinesis Firehose

Job description

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Senior Data Engineer - Python / SQL / AWS - Fully Remote, Leeds, West Yorkshire

Client: W Talent

Location: Leeds, West Yorkshire, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 1

Posted: 25.05.2025

Expiry Date: 09.07.2025

Job Description:

Due to expansion, an exceptional opportunity for a Senior Data Engineer.

Leading the strategic direction of the Software Engineering Team, you will have 10+ years of experience with exceptional Python, SQL, and AWS component experience.

Location: Fully Remote (London Based Company)

Salary: to £95,000 + Benefits

Key Skills:

• Experience designing and building high throughput, scalable, resilient, and secure data pipelines.
• Experience with the following AWS technologies: Glue jobs, Athena, S3, Step functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kinesis Firehose.
• Expert knowledge of SQL.
• Hands-on experience with Kafka.
• Hands-on experience with Terraform.
• Hands-on experience with Python in a Data Analytics programming paradigm.
• Exceptional troubleshooting and debugging skills.

Good to have:

• Experience with design and implementation of integration solutions for event/data streaming.
• Experience working with Apache Superset.
• Exposure to Payments domain – ideally sanctions screening.

Key Responsibilities:

• Lead the design, development, and enhancement of data pipelines to support use cases such as reporting and data export.
• Own the delivery of your code from design to production.
• Collaborate with Software Engineers to develop the platform.
• Collaborate with the Product team to provide expert Data Engineering advice and recommendations.
• Work with wider Technology teams (Architecture, Security) to ensure code adheres to architecture designs and security standards.
• Ensure code always meets engineering standards.
• Support the Engineering Lead in driving the strategic direction of the Software Engineering department.
• Support and mentor Data Engineering colleagues.