Data Engineer - SAP Data Services, Oracle, SQL, ETL - (SC Cleared)

JR United Kingdom; United Kingdom; Remote; GBP 40,000 - 80,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer, where you will play a crucial role in maintaining and developing the Data Warehouse for reporting and regulatory purposes. This remote position offers the opportunity to work on developing ETL pipelines and conducting rigorous testing while collaborating with a dynamic team. You will gather detailed requirements and apply data engineering standards to document and enhance data warehouse components. If you have a strong background in data engineering and a passion for innovative solutions, this role is perfect for you.

Qualifications

• Proven experience in data engineering with a focus on ETL processes.
• Strong understanding of Data Warehouse principles and data regulations.

Responsibilities

• Develop and maintain ETL pipelines and packages.
• Gather and interpret detailed requirements for data projects.

Skills

SAP Data Services

Oracle databases

SQL

Python

PowerShell

SOAP

REST

WSDL

SFTP/FTPS

SSIS

TOAD

SSMS

Job description

Job Title: Data Engineer (Remote)

Client: Global Resourcing

Location: Not specified (Remote working)

Job Category: Other

EU work permit required: Yes

Job Views: 3

Posted: 05.05.2025

Expiry Date: 19.06.2025

Job Description:

We are seeking an experienced Data Engineer to join our team. The role involves maintaining and developing the Data Warehouse (DWH) for reporting and regulatory purposes. Responsibilities include developing ETL pipelines, deploying ETL packages, and conducting rigorous testing based on project and incident requests. The candidate will gather detailed requirements, interpret them, and apply data engineering standards, modeling, and design techniques to define and document data warehouse components. They will participate in coding, verifying, testing, and refactoring data flows, pipelines, programs, and scripts.

Key Responsibilities:

• Develop and maintain ETL pipelines and packages.
• Gather and interpret detailed requirements for data projects.
• Apply data engineering standards, modeling, and design techniques.
• Document data warehouse component specifications.
• Participate in coding, testing, and refactoring data flows and pipelines.

Skills and Experience:

• Proven experience in SAP Data Services.
• Experience with Oracle databases.
• Strong SQL skills and familiarity with Python, PowerShell, SOAP, REST, WSDL, SFTP/FTPS, SSIS, TOAD, and SSMS.
• Understanding of Data Warehouse principles and data regulations.