Principal Data Engineer

JR United Kingdom; Bristol; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative firm is seeking a Principal Data Engineer to design and implement cutting-edge cloud-based data solutions. In this role, you'll leverage a variety of AWS services to build custom solutions while collaborating closely with clients. Your expertise in ETL processes and cloud data warehouse patterns will be crucial as you manage structured and semi-structured data formats. The ideal candidate thrives in dynamic environments, enjoys problem-solving, and is eager to contribute to a collaborative team culture. If you're passionate about data engineering and want to make a significant impact, this opportunity is perfect for you.

Qualifications

• Strong experience in ETL processes and cloud data warehouse patterns.
• Hands-on expertise with AWS services (S3, Glue, Redshift).

Responsibilities

• Propose and implement data solutions using AWS services.
• Design and implement ETL/ELT pipelines for cloud data warehouse solutions.

Skills

ETL processes

AWS services

Matillion

data visualization tools

big data technologies

cloud data warehouse patterns

Linux

CI/CD processes

problem-solving

Tools

AWS S3

AWS Glue

AWS Redshift

QuickSight

Tableau

Looker

QlikSense

Hadoop

MapReduce

Spark

Job description

Social network you want to login/join with:

The Principal Data Engineer will be responsible for designing and implementing cloud-based data solutions using a range of AWS services. This role involves working closely with clients to define requirements, build custom solutions, and transfer knowledge to client technical teams. The ideal candidate is passionate about problem-solving, thrives in greenfield project environments, and enjoys working both independently and collaboratively.

Key Responsibilities as a Principal Data Engineer

• Propose and implement data solutions using AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, and Matillion.
• Work directly with clients to define requirements, refine solutions, and ensure successful handover to internal teams.
• Design and implement ETL/ELT pipelines for cloud data warehouse solutions.
• Build and maintain data dictionaries and metadata management systems.
• Analyse and cleanse data using a range of tools and techniques.
• Manage and process structured and semi-structured data formats such as JSON, XML, CSV, and Parquet.
• Operate effectively in Linux and cloud-based environments.
• Support CI/CD processes and adopt infrastructure-as-code principles.
• Contribute to a collaborative, knowledge-sharing team culture.

Required Qualifications & Skills

• Strong experience in ETL processes and cloud data warehouse patterns.
• Hands-on expertise with AWS services (S3, Glue, Redshift).
• Proficiency with Matillion for data transformation.
• Experience working with various relational databases.
• Familiarity with data visualization tools such as QuickSight, Tableau, Looker, or QlikSense.
• Ability to create well-documented, scalable, and reusable data solutions.
• Experience with big data technologies such as Hadoop, MapReduce, or Spark.
• Exposure to microservice-based data APIs.
• Familiarity with data solutions in other public cloud platforms.
• AWS certifications (e.g., Solutions Architect Associate, Big Data Specialty).
• Experience or interest in Machine Learning and AI-driven data solutions.
• Public sector experience is preferential