Data Engineer

Sanderson

Posted 4 days ago, valid for 11 days

London, Greater London EC1R 0WX

£45,000 - £54,000 per annum

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

The position is for a Senior Data Engineer with a contract duration of 6 months, offering a rate of £550 - £700 per day, classified as Inside IR35.
The role is remote and based in the UK, focusing on enhancing the Supply Chain Workstream for a leading retailer's Data team.
Key responsibilities include developing and managing data pipelines, optimizing data processes using Azure tools, and utilizing PySpark and DBT for data transformation.
Required skills include strong knowledge of SQL, proficiency in Databricks and Azure tools, and experience with data design and engineering principles.
Candidates should have a solid background in data pipeline design and practical experience in data warehousing and ETL/ELT processes.

Senior Data Engineer

Duration: 6 monthsRate: £550 - £700 per day (Inside IR35)Location: Remote - UK based

Join a leading retailer's Data team and enhance their Supply Chain Workstream with your data engineering expertise. In this role, you'll be pivotal in developing and maintaining data pipelines, leveraging advanced cloud technologies, and designing robust data solutions. Your proficiency in SQL, Databricks, and Azure tools will be crucial for success.

Key Responsibilities:

Develop and manage data pipelines using Databricks, SQL, and related tools.
Optimise data processes with Azure DataBricks and Azure Data Factory.
Utilise PySpark and DBT for effective data transformation.

Required Skills & Experience:

SQL & Data Scripting: Strong knowledge and practical experience.
Databricks & Azure Tools: Proficient with Databricks, Azure DataBricks, Azure Data Factory.
Data Design: Experienced with relational and NoSQL databases.
Data Engineering: Familiar with data pipeline design (e.g., Kimball/Star Schema), data warehousing, ETL/ELT processes.

Please Apply Below!

Apply now in a few quick clicks

Data Engineer

Data Architect

Data Architect

Data Architect - DV Cleared