Data Engineer

Objective:

This role is responsible for working with the Business stakeholders to solve their data accessibility challenges and promoting the use of data throughout DPE to enable data driven decision making. Creating and managing the data pipelines that are accurate, efficient, aligned to Data standards and best practices for data engineering.

Responsibilities:

• Work with the Data Engineering Team Lead to provide solutions that address project requirements. Ensure development work adheres to Data standards and best practices.
• Ensure production processes, data feeds, pipelines function correctly as required by the business. Ensure system performance and capacity are managed appropriately.
• Understand Data Compliance requirements and ensure data pipelines and models are adhering to the requirements.
• Create and maintain documentation as required.
• Work with the Operations team to ensure appropriate level of detail is provided for releases and adhere to change control processes.
• Support the team (Dev and Ops) when required.
• Appropriate time sheet logging against project work

Requirements:

• At least 4+ years’ experience with T-SQL.
• Strong experience in creating data pipelines including inbound/outbound feeds and data transformation.
• Strong data modelling including Data Warehouse modelling
• Power BI & modelling.
• Good communication skills Good time management and organisational skills Strong attention to detail Ability to problem solve complex processes.
• Experience or exposure with cloud-based data environments Ability to self-learn new technology.
• Passionate about new and emerging technologies
• Snowflake Cloud Datawarehouse experience
• Azure Data factory experience
• Experience or proven understanding of GDPR
• SSRS, SSIS and SSAS