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About the Role
The Senior Data Engineer designs and builds data foundations and end-to-end solutions to maximize business value from data. This role fosters data-driven thinking across the organization and acts as a subject matter expert, mentoring junior engineers and driving the conversion of vision and data strategy into IT solutions.
Responsibilities
- Designs and builds data foundations and end-to-end solutions.
- Creates data-driven thinking within the organization.
- Acts as a subject matter expert.
- Designs and builds data solutions.
- Mentors junior engineers.
- Drives the conversion of vision and data strategy for IT solutions.
- Delivers IT solutions.
- Actively delivers the roll-out and embedding of Data Foundation initiatives.
- Coordinates the change management process.
- Coordinates the incident management process.
- Coordinates the problem management process.
- Presents reports and findings to key stakeholders.
- Acts as the subject matter expert on Data Analysis & Design.
- Drives implementation efficiency and effectiveness across pilots and future projects.
- Contributes to community building initiatives like CoE, CoP.
Requirements
- Technology expert with a constant pursuit of knowledge enhancement and inherent curiosity.
- Deep data focus with expertise in the technology domain.
- Skilled communicator capable of speaking to both technical developers and business managers.
- Respected and trusted by leaders and staff.
- Experience in project management, running a scrum team (Optional).
- Experience working with BPC, Planning (Optional).
- Exposure to working with external technical ecosystems (Optional).
- MKDocs documentation (Optional).
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
Location
- London
Work Type
- Contract
- Onsite (4-5 days per week)
Experience Level
- Senior
About the Company
- 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.
- 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.