62396 - Data Engineer

Data Engineer
Location: UK, Remote
Length: 12 Months
Start Date: ASAP
Rate: from £37.02 - £41.35 p/h (Inside IR35)
Hours: 9am-6pm
Interview: 45 minutes coding interview along with 30 minutes screen
Overview:
Data Engineer with at least 4 years of experience in designing and maintaining data pipelines, ensuring data quality, and supporting data analytics. Develop products and get services from the Telcom who serves and strengthen the relationship X4 different products the team works on, and will be allocated to each product based on their skill set.
Key Responsibilities:
 
Data Infrastructure Development 

• Design, build, visualize, and maintain scalable data pipelines and ETL processes. 

• Collaborate with the team's engineers to integrate new data sources. 

Data Analytics Support 

• Work with data scientists to provide clean, reliable datasets for reporting and analysis. 

• Develop and maintain dashboards and visualizations as needed. 

Data Management 

• Ensure data quality, consistency, and accessibility 

• Implement data governance best practices. 

• Support the team's on-call duties. 

Expected Outcomes 

• Improve the team's data-driven decision-making capabilities. 

• Streamlined data processes and reduced manual intervention. 

• Enhanced data accessibility and usability for the Partner Group team

Top three non – negotiable skills:

• SQL
• Python
• Ability to process and visualise data

Day to Day activities:
 

• CW will have a project to work on with a clear timeline and interact with data and software POCs to achieve, clear scope and guidance on what is needed and timelines  

• Communicate clearly  

• Communicate timelines, raise flags for any concerns  

• Highly technical delivery’s

• Most cases are to develop data pipeline processes and data sets to drive decision making for the product team  

• Backfilling data, building dash boards  

• Present data. 

• Working on x1 project at a time and smaller additional tasks if needed – micro deliveries or tasks.  

• Measure success – Tasks or projects will be well defined with deliverables and need to work towards them, High quality solutions and will be defined. 

Qualifications:

• At least 4 years of experience in data processing (ETL), data analysis (writing SQL queries), and data visualization, along with a basic understanding of Python programming.