Senior Data Architect

2 weeks ago

Newcastle upon Tyne, Newcastle upon Tyne, United Kingdom Asset Resourcing Full time
Job Description

Principal Data Engineer

Job Summary:

We are seeking an experienced Principal Data Engineer to join our team at Asset Resourcing. As a key member of our Data Solutions Consultancy Services Provider, you will play a critical role in the development of our clients' data products, ensuring highly scalable, high-performance, and cost-effective data processing and analytics solutions.

Key Responsibilities:

  • Oversee the development of cloud data platforms, IoT analytics, and data integration and migration projects.
  • Provide strategic leadership and technical expertise in the development of cloud data platforms.
  • Set standards for Data Engineering best practices across the organisation, leading the creation of robust coding standards and development practices.
  • Ensure adherence to coding standards for Python and PySpark development.
  • Develop CI/CD pipelines and have deep knowledge of DevOps and source control best practices.
  • Have strong knowledge of DataOps practices and awareness of MLOps practices.
  • Database Administration experience, including query optimisation and indexing strategies.
  • Knowledge of NoSQL databases (e.g. DynamoDB, CosmosDB, MongoDB).
  • Experience implementing solutions using at least one of the following technologies: Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google Big Query, Alteryx, SSIS, Informatica.

Requirements:

  • 5+ years prior experience in data engineering or similar roles.
  • Extensive ETL and data pipeline design experience, technology agnostic.
  • Experience in creating and ensuring adherence to coding standards for Python and PySpark development.
  • Experience developing CI/CD pipelines and deep knowledge of DevOps and source control best practices.
  • Strong knowledge of DataOps practices and awareness of MLOps practices.
  • Database Administration experience, including query optimisation and indexing strategies.
  • Knowledge of NoSQL databases (e.g. DynamoDB, CosmosDB, MongoDB).
  • Experience implementing solutions using at least one of the following technologies: Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google Big Query, Alteryx, SSIS, Informatica.

What We Offer:

A competitive salary, good benefits, and a career with a growing organisation that offers great career progression.

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