Templeton & Partners - Innovative & Inclusive Hiring Solutions
Data Engineer
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Join a major global energy and commodities organisation as a Senior Data Engineer
Helping to build the data foundations and analytics products that improve decision-making across crude, products, and supply-and-demand trading.
You will work on a strategic cloud-based data and analytics programme focused on turning complex market, refinery, maintenance, and capacity data into timely, actionable insights for trading and business stakeholders.
The role
As a Senior Data Engineer, you will design, build, and improve end-to-end data solutions. You will act as a technical subject-matter expert, translate data strategy into deliverable IT solutions, and help embed data-driven ways of working across both technology and business teams.
Key responsibilities include:
- Design and develop scalable data pipelines, integrations, and cloud-based data platforms.
- Build robust ELT processes for ingesting, transforming, validating, and serving data.
- Create and maintain logical and physical data models to support analytics and reporting.
- Develop solutions that replace manual, spreadsheet-based processes with reliable data products and modern visualisation capabilities.
- Work closely with data analysts, business stakeholders, product teams, and technical delivery teams to turn requirements into practical solutions.
- Improve data quality, lineage, documentation, governance, and operational resilience.
- Support incident, problem, and change-management processes for data products and platforms.
- Present technical designs, findings, and delivery updates to senior stakeholders.
- Mentor junior engineers and contribute to engineering communities of practice and centres of excellence.
- Drive efficient delivery across pilots and future initiatives, balancing pace, quality, cost, and business value.
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Required experience
- Strong senior-level experience in data engineering, data integration, and cloud data platforms.
- Expert-level knowledge of ELT design and implementation.
- Expert-level data-modelling experience.
- Strong exposure to one or more major cloud ecosystems, particularly AWS, Azure, and/or SAP environments.
- Hands-on experience with data ingestion, transformation, orchestration, and processing tools.
- Strong SQL skills and experience working with large-scale data sets.
- Familiarity with CI/CD, version control, automated testing, and code-quality practices.
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Relevant technologies
Experience with several of the following is highly desirable:
- Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, Azure Stream Analytics
- AWS Glue, Amazon Kinesis, Amazon Redshift
- Apache Airflow
- GitHub, GitHub Actions, Azure DevOps
- SonarQube and PyTest
- Power BI and modern data-visualisation tools
Desirable experience
- Experience leading technical workstreams or supporting a Scrum delivery team.
- Exposure to project management or Agile delivery.
- Experience with planning, budgeting, or performance-management platforms.
- Experience collaborating with external technology partners and vendors.
- Documentation-as-code experience, including MkDocs.
- Background in commodities, energy, supply chain, market analytics, refinery operations, or trading environments.
This is an opportunity for a technically strong Data Engineer to influence architecture, mentor others, and deliver data products with direct commercial impact.
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