Senior Data Engineer: Data Warehousing & Pipelines (AWS)

Jobs for Lebanon; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A digital asset service provider in the UK is seeking an experienced Data Engineer to design, build, and maintain their data infrastructure. The ideal candidate should have a strong background in data pipelines, ETL processes, and cloud-based services such as AWS. You will collaborate with teams to ensure data reliability and work on building effective data solutions. This role requires excellent analytical skills and the ability to work in a dynamic environment, contributing significantly to our data-driven initiatives and strategies.

Qualifications

• 4+ years experience as a Data Engineer or similar role.
• Strong background in designing and building data pipelines and ETL processes.
• Hands-on experience with cloud-based data platforms, particularly AWS.
• Proficiency in programming languages such as Python and SQL.
• Experience in fintech or financial services industry is a plus.

Responsibilities

• Design and build data warehouse alongside the data team.
• Develop and maintain data pipelines and ETL processes.
• Collaborate with business departments to understand data requirements.
• Implement data quality checks and monitoring mechanisms.

Skills

Data engineering

ETL processes

Data modeling

Python

SQL

Data pipelines

AWS

Kubernetes

Analytical skills

Collaboration

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Tools

AWS S3

AWS Redshift

Apache Spark

Pandas

PostgreSQL

MySQL

Job description

A digital asset service provider in the UK is seeking an experienced Data Engineer to design, build, and maintain their data infrastructure. The ideal candidate should have a strong background in data pipelines, ETL processes, and cloud-based services such as AWS. You will collaborate with teams to ensure data reliability and work on building effective data solutions. This role requires excellent analytical skills and the ability to work in a dynamic environment, contributing significantly to our data-driven initiatives and strategies.