About the role
Role Summary
Aubay is seeking a Principal Data Engineer to join a leading energy client’s team who will conceptualize and design data foundations and end-to-end solutions, including data platforms, to maximize value from data. The role promotes a data-driven culture across IT teams and wider business stakeholders, acting as a subject matter expert and thought partner in defining the vision and data strategy for robust, future-ready IT solutions.
Ensure you read the information regarding this opportunity thoroughly before making an application.
Required skills and experience
- Strong proficiency with cloud platforms: AWS, Azure, SAP
- Expertise in ELT development and automation with scalable pipeline design
- Mastery of data modeling techniques
- Skilled in data ingestion, integration, and transformation using modern tools (Data Factory, Databricks, SQL DB, Synapse, Glue, Airflow, Kinesis, Redshift)
- Hands-on experience with DevOps tooling: GitHub Actions, Azure DevOps, SonarQube, PyTest
- Proven ability to coordinate incident, problem, and change management processes
- Strong communication skills with both technical and non-technical stakeholders
- Demonstrated experience in technical documentation and maintaining high-quality solution documentation
Desired skills and experience
- Experience in project management or leading Agile/Scrum teams
- Experience with financial or operational planning tools (e.g., SAP BPC)
- Familiarity with external partner ecosystems and cross-functional delivery models
- Ability to mentor and guide junior engineers
- Experience contributing to enterprise-scale data transformation projects
- Knowledge of trading, supply, or energy domain data models
- Experience with MKDocs documentation
Role Responsibilities
- Design and deliver scalable, cloud-based data engineering solutions
- Lead efforts to modernize data platforms, including migration of legacy systems to cloud infrastructure
- Manage data ingestion, integration, and transformation workflows while ensuring xwzovoh high standards of data quality, governance, and performance
- Collaborate with IT and business stakeholders to translate strategic goals into actionable data architecture and solutions
- Act as a subject matter expert, mentoring junior engineers and providing technical guidance
- Coordinate incident, problem, and change management processes, ensuring minimal disruption and timely resolution
- Present technical findings, reports, and recommendations to stakeholders
- Drive implementation efficiency across pilots and enterprise projects to maximize value delivery
- Contribute to community-building initiatives such as Centres of Excellence (CoE) and Communities of Practice (CoP)
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