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