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

Deloitte - Recruitment; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Deloitte London is seeking a Senior Data Engineer to design and build data foundations and end-to-end data solutions, helping the business maximise value from data. You will drive data-driven thinking across IT and business stakeholders and mentor junior engineers.

You will lead the rollout of Data Foundation initiatives, coordinate change, incident and problem management, and present insights to stakeholders to improve decision making.

Qualifications

• Experience designing and implementing data foundations and end-to-end data solutions.
• Ability to mentor junior engineers and promote data strategy adoption.
• Strong communication to both technical and business stakeholders.

Responsibilities

• Lead the rollout and embedding of Data Foundation initiatives.
• Coordinate change management, incident management and problem management processes.
• Present reports and findings to key stakeholders on Data Analysis & Design.
• Drive efficiency across pilots and future projects to maximize value delivery.

Skills

ELT

Data Modeling

Data Ingestion

Data Processing

Job description

London, United Kingdom | Posted on 01/09/2026

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

The Senior Data Engineer is the one who designs andbuilds data foundations and end to end solutions for the business to maximizevalue from data. The role helps create a data-driven thinking within theorganization, not just within IT teams, but also in the wider Businessstakeholder community. A Senior Data engineer is expected to be a subjectmatter expert, who design & build data solutions and mentor juniorengineers. They are also the key drivers to convert Vison and Data Strategy forIT solutions and deliver.

Key Characteristics:

• Technology expert who constantly pursues knowledgeenhancement and has inherent curiosity to understand work from multipledimensions.
  
• Deep data focus with expertise in technology domain
  
• A skilled communicator capable of speaking to bothtechnical developers and business managers. Respected and trusted by leadersand staff.
  
• Actively delivers the roll-out and embedding of DataFoundation initiatives in support of the key business programmers.
  
• Coordinate the change management process, incidentmanagement and problem management process.
  
• Present reports and findings to key stakeholders andbe the subject matter expert on Data Analysis &Design.
  
• Drive implementation efficiency and effectiveness acrossthe pilots and future projects to minimize cost, increase speed ofimplementation and maximize value delivery.
  
• Contributes to community building initiatives likeCoE, CoP.
  

Mandatory skills:

• ELT - Master
  
• Data Modeling - Master
  
• Data Integration & Ingestion - Skill
  
• Data Manipulation and Processing - Skill
  

Optional skills:

• Experience in project management, running a scrumteam.
  
• Experience working with BPC, Planning.
  
• Exposure to working with external technical ecosystem.
  

Project Description: High Level Objective

• the business aims to leverage information flow advantageacross RDS to improve decision making and trading bias based on data insights.
  
• The project will increase value creation throughcollaboration, creating new cross commodity trading opportunities (in bothCrude and Products).
  
• It will provide better investment in analysiscapabilities, tools and infrastructure and more rapidly deploy near term valuecreation for trading desks.
  
• The initial part will tackle thelow hanging fruit, getting things out of Excel, unlocking the power of newvisualisation tools, restructuring and cleaning up existing models.
  
• This part will deliver initiatives tosupport better analysis of Refinery maintenance, Crude supply & demand andGasoline supply and demand amongst others.
  
• The core Cloudera platform deployment willensure we create a Data Lake and not a Data Swamp and will improve decisionmaking & trading bias via insights from data
  
• An Asset Capacity & Maintenance deployment willgive T&S the summary of planned and unplanned Refinery Maintenance plusCapacity information