Senior Data Engineer | AWS | Azure | SAP (Contract)

Contract Role: Senior Data Engineer
Contract Location: London 4-5 days onsite each week
Contract Start: Starting ASAP (inside IR35)
Contract duration: End of 2026

Payroll provider: Rockford Payroll Info for Contingent Workers – Rockford Pay

Roles and Responsibilities:

The Senior Data Engineer is the one who designs and builds data foundations and end to end solutions for the business to maximize value from data. The role helps create a data-driven thinking within the organization, not just within IT teams, but also in the wider Business stakeholder community. A Senior Data engineer is expected to be a subject matter expert, who design & build data solutions and mentor junior engineers. They are also the key drivers to convert Vison and Data Strategy for IT solutions and deliver.

Key Characteristics:

• Technology expert who constantly pursues knowledge enhancement and has inherent curiosity to understand work from multiple dimensions.
  
• Deep data focus with expertise in technology domain
  
• A skilled communicator capable of speaking to both technical developers and business managers. Respected and trusted by leaders and staff.
  
• Actively delivers the roll-out and embedding of Data Foundation initiatives in support of the key business programmers.
  
• Coordinate the change management process, incident management and problem management process.
  
• Present reports and findings to key stakeholders and be the subject matter expert on Data Analysis & Design.
  
• Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery.
  
• Contributes to community building initiatives like CoE, CoP.
  

Mandatory skills:

• AWS/Azure/SAP - Master
  
• ELT - Master
  
• Data Modeling - Master
  
• Data Integration & Ingestion - Skill
  
• Data Manipulation and Processing - Skill
  
• GITHUB, Action, Azure DevOps - Skill
  
• Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest - Skill
  

Optional skills:

• Experience in project management, running a scrum team.
  
• Experience working with BPC, Planning.
  
• Exposure to working with external technical ecosystem.
  
• MKDocs documentation
  

Project Description: High Level Objective

• the business aims to leverage information flow advantage across RDS to improve decision making and trading bias based on data insights.
  
• The project will increase value creation through collaboration, creating new cross commodity trading opportunities (in both Crude and Products).
  
• It will provide better investment in analysis capabilities, tools and infrastructure and more rapidly deploy near term value creation for trading desks.
  

Deliverables

• The initial part will tackle the low hanging fruit, getting things out of Excel, unlocking the power of new visualisation tools, restructuring and cleaning up existing models.
  
• This part will deliver initiatives to support better analysis of Refinery maintenance, Crude supply & demand and Gasoline supply and demand amongst others.
  
• The core Cloudera platform deployment will ensure we create a Data Lake and not a Data Swamp and will improve decision making & trading bias via insights from data
  
• An Asset Capacity & Maintenance deployment will give T&S the summary of planned and unplanned Refinery Maintenance plus Capacity information