Remote Senior Data Engineer - Asset Resourcing Limited : Job Details

Senior Data Engineer - Cloud-based (Azure or AWS) - Remote to suit - £65K DoE - Data Solutions Consultancy Services Provider

Senior Data Engineer - Background:

As a Senior Data Engineer you are a key player in the implementation of our client’s cloud data platforms, IoT analytics, data integration and migration projects. You will deliver Data Solutions from data pipelines and processing solutions with our Data Architects that support a client’s data architecture framework.

The role will involve elements of management, coaching and mentoring of people.

Senior Data Engineer responsibilities:

• Work closely with Data Architects, Data Engineers and Insight Analysts on the development of our client’s cloud data warehouse and IoT analytics projects utilising cloud technologies such as AWS or Azure.
• Create and maintain detailed solutions documentation.
• Create data pipeline processes which are orchestrated in an optimal manner across data layers and data models.
• Create and maintenance of Infrastructure as Code Solutions.
• Coaching /mentoring of graduate and/or apprentice consultants.

Senior Data Engineer practical experience required:

• Significant prior experience in data engineering or business intelligence role.
• ETL and data pipeline implementation experience, technology agnostic.
• Expertise 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
• Demonstrable understanding of data warehouse and data lake principles.
• Demonstrable data modelling techniques such as Kimball, Inmon or Data Vault methodologies.
• Demonstrable understanding of unstructured, semi-structured and structured data source types for databases, files, formats and APIs.
• Strong SQL skills including the ability to optimize performance.
• Exposure to data engineering coding languages such as Python, R or Spark
• Experience using backlog management tools such as Jira or Azure DevOps

Senior Data Engineer Summary:

The role is as remote as you wish, but the door at HQ is always open.

On offer is a competitive salary, extensive benefits and an opportunity with a growing organisation that offers great career progression.