Senior Data Engineer
Indexed description
The successful candidate will work closely with business, architecture, and AI teams to create scalable, trusted, and reusable data foundations that accelerate decision-making and business value.
Accountabilities:
Data Engineering & Platform Delivery
- Design, build, and optimize scalable data pipelines, integrations, and lakehouse solutions that support large and complex datasets.
- Develop and deploy production-ready data solutions using modern cloud and data engineering technologies.
- Drive performance optimization, automation, and continuous improvement across data platforms.
- Build and support data interfaces across enterprise applications, platforms, and external partners.
- Ensure data quality, lineage, governance, and compliance requirements are embedded within solutions.
- Maintain reliable and secure data flows through proactive monitoring, troubleshooting, and issue resolution.
- Partner with business stakeholders, product owners, architects, and delivery teams to translate business requirements into scalable data solutions.
- Contribute to solution design, estimation, backlog prioritization, and Agile delivery activities.
- Promote engineering best practices, standards, and reusable capabilities across teams.
- Enable AI, advanced analytics, and data-driven decision-making by delivering trusted, high-quality data foundations.
- Collaborate with data scientists and architects to develop scalable, AI-ready datasets and platform capabilities.
- Identify opportunities to enhance platform scalability, interoperability, automation, and digital innovation across the business.
- Significant experience in Data Engineering and Data Integration roles.
- Extensive experience delivering enterprise-grade data platforms and integration solutions.
- Proven experience delivering enterprise-grade data platforms and pipelines in cloud environments.
- Expert in Azure, Azure Data Factory (ADF), data pipelines, Azure Data Lake Storage (ADLS), Databricks, PySpark, Python, and Kafka, with working knowledge of databases including Cosmos DB and MongoDB.
- Proficiency in data modelling.
- Experience implementing performance optimization techniques using PySpark and SQL.
- Experience working with source control technologies (e.g., GitHub, Azure DevOps) and with build and release pipelines.
- Hands-on experience delivering digital solutions such as enterprise data platforms, and rolling out and setting up Master Data Management, Data Catalogue, and analytics solutions to support business decision-making.
- Experience working in Agile teams, applying best patterns and practices with an eye for quality and standards.
- Experience with Microsoft Power Platform, specifically Power Automate.
- Databricks Certified Associate / Professional Data Engineer.
- Experience with LNG business stakeholders and data products.
- Experience supporting AI, machine learning, or Generative AI solutions in production environments.
- Progress as a person as we work on the energy transition together.
- Continuously grow the transferable skills you need to get ahead.
- Work at the forefront of technology, trends, and practices.
- Collaborate with experienced colleagues with unique expertise.
- Achieve your balance in a values-led culture that encourages you to be the best version of yourself.
- Benefit from flexible working hours, and the possibility of remote/mobile working.
- Perform at your best with a competitive starting salary and annual performance related salary increase – our pay and benefits packages are considered to be among the best in the world.
- Take advantage of paid parental leave, including for non-birthing parents.
- Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.
- Grow as you progress through diverse career opportunities in national and
- international teams.
- Gain access to a wide range of training and development programmes.
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