Principal Data Engineer

Anson McCade; West of England; On-site; GBP 60,000 - 85,000; Full time

Job summary

A leading company in the technology sector is seeking a Principal Data Engineer to design and implement cloud-based data solutions using advanced AWS services. The ideal candidate will thrive in problem-solving, collaborate with clients, and possess strong skills in data engineering and transfer of knowledge within teams.

Qualifications

• Strong experience in cloud data warehouse patterns.
• Hands-on expertise with AWS services (S3, Glue, Redshift).
• Experience with various relational databases.

Responsibilities

• Design and implement ETL/ELT pipelines for cloud solutions.
• Work directly with clients to define requirements and refine solutions.
• Build and maintain data dictionaries and metadata management systems.

Skills

ETL processes

AWS services

Data transformation

Data visualization tools

Big data technologies

Problem-solving

Education

AWS certifications

Tools

Matillion

QuickSight

Tableau

Looker

QlikSense

Job description

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This range is provided by Anson McCade. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Media

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