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You will be updated with latest job alerts via emailWho we are:
Ceres is leading the way in clean energy innovation pioneering advancements in electrolysis for green hydrogen production and fuel cells for future power solutions. With our dynamic licensing model weve built powerful partnerships with major multinational companies like Bosch Doosan Shell and Weichai and our solid oxide platform is transforming energy systems delivering highefficiency green hydrogen to decarbonise some of the most emissionsheavy industries including steelmaking and future fuels.
At Ceres we foster a workplace driven by passion and purpose. We support our team to think ambitiously collaborate creatively and confront complex challenges directly. Innovation is at the core of who we are and we strive to push the boundaries of whats possible with technology.
Purpose of the role:
This role sits within the department of Modelling and Digitalisation consisting of highly skilled and dedicated modelling and simulation engineers data scientists and data engineers. The department specialises in advanced multidomain computational modelling data analysis and creates bespoke data products and cloud data platform solutions to support all core areas of the business with a focus on accelerating the companys product and technology development.
The purpose of this role is to enable and support the Data Product Team to design and deploy data applications built on our Azure Databricks platform to improve data accessibility robustness and connectivity enabling data analytics and data driven decisions to be made across the business.
Key Accountabilities:
Take ownership of data products throughout their entire lifecycle from ideation and design to deployment maintenance and eventual deprecation to support datadriven decision making and analytics.
Act as the primary point of contact for the assigned data product addressing both technical and business needs.
Work closely with crossfunctional teams including data scientists analysts and software engineers to deliver highvalue data products.
Collaborate with stakeholders to understand business requirements and translate them into data product specifications.
Ensure data products meet performance scalability and reliability standards
Act as a liaison between technical and nontechnical stakeholders to align on product objectives and deliverables.
Monitor the performance and reliability of data products in production environments.
Monitor and address data quality issues proactively.
Provide technical guidance and mentoring to team members as needed.
Knowledge and skills required for the role:
Bachelors degree in computer science data science engineering or a related STEM field
Several years of experience in data product development or related fields with a proven track record of delivering highquality data solutions
Advanced degrees (e.g. Masters or Ph.D.) in relevant fields are a plus but not mandatory
Expertise in programming languages such as Python and SQL
Familiarity with scripting for automation and process optimisation
Knowledge of cloud environments like Microsoft Azure AWS or Google Cloud Platform
Experience with cloudnative data tools (e.g. Databricks AWS Glue Google Big Query)
Experience in supporting BI tools like Tableau Power BI or Looker
Ability to interpret data for actionable insights and collaborate with analysts
Ability to work in crossfunctional Agile teams collaborating closely with data engineers product managers and other stakeholders
Strong understanding of Agile methodologies (e.g. Scrum Kanban) and their application in data product engineering projects
Knowledge of DevOps practices including infrastructure as code continuous integration/continuous delivery (CI/CD) and containerization (e.g. Docker Kubernetes)
Experience working within Agile workflows and familiarity with Agile principles ceremonies (e.g. standups retrospectives)
Fast learner of new domain knowledge with awareness of fuel cell technology a plus
Excellent interpersonal skills to work effectively with crossfunctional teams
Ability to mentor junior engineers and guide technical decisions
Full Time