Data Engineer
Job details
Job Description: Are you looking for a career in tech that truly helps make the world a better place? Bp is moving through the biggest transition in its 100+ year history with the goal of becoming one of the world's largest renewable energy providers and achieving net zero carbon emissions by 2050! To make this transition, we are looking for a Data Engineer to deploy our integrated capability and standards in service of our net zero and safety ambitions. We will be collaborating to deliver competitive customer-focused energy solutions. We will be originating, scaling and commercialising innovative ideas and crafting ground-breaking new businesses. Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world! What You Will Do
- Assist in the design, implementation and maintenance of reliable and scalable data infrastructure and products on Microsoft Azure cloud environments
- Assist in design, development, and delivery of large-scale data ingestion, data processing, and data transformation projects on the Azure cloud
- Work with Digital Technology teams and customers to deploy, lead, and apply best practices for cloud products
- Adhere to and advocate for software & data engineering best practices (e.g. technical design and review, unit testing, monitoring, alerting, source control, code review & documentation)
- Adhere to privacy and compliance requirements; develop, maintain and improve CI / CD pipeline
- Be part of a cross-disciplinary team working closely with other data engineers, software engineers, data scientists, data managers and business partners in a Scrum/Agile setup.
- At least 3 to 6 years of relevant experience as a Data Engineer.
- Strong experience and knowledge in Data Structures & Algorithms .
- Hands-on experience with Databricks and using Spark for data processing (batch and/or real-time)
- Strong experience in Python, Scala, SQL
- Cloud platforms: Azure (ideally) or AWS
- Data modeling with relational or data-warehouse systems.
- Competitive salary package including annual bonus program.
- Excellent work-life balance & flexible working arrangements (hybrid 60/40 in-office).
- Ongoing career opportunities in a global organisation.
- Career development and mentoring programs.
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