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- Tasks: Lead the design and deployment of data applications on Azure Databricks for improved data accessibility.
- Company: Ceres is a pioneer in clean energy, focusing on green hydrogen and innovative power solutions.
- Benefits: Enjoy hybrid working, life insurance, health care cash plan, 28 days leave, and family-friendly policies.
- Why this job: Join a passionate team driving innovation in clean energy and make a real impact on the environment.
- Qualifications: Bachelor's degree in STEM; experience in data product development; skills in Python, SQL, and cloud environments.
- Other info: Opportunity to mentor junior engineers and work in a dynamic, collaborative Agile environment.
The predicted salary is between 48000 - 72000 £ per year.
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, we've built powerful partnerships with major multinational companies like Bosch, Doosan, Shell, and Weichai. Our solid oxide platform is transforming energy systems, delivering high-efficiency green hydrogen to decarbonise some of the most emissions-heavy 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 what’s 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 does advanced multi-domain computational modelling, specialist 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 company’s 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 data-driven 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 cross-functional teams including data scientists, analysts, and software engineers to deliver high-value 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 non-technical 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:
- A bachelor's 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 high-quality data solutions.
- Advanced degrees (e.g., Master’s 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 optimization.
- Knowledge of cloud environments like Microsoft Azure, AWS or Google Cloud Platform.
- Experience with cloud-native data tools (e.g. Databricks, AWS Glue, Google BigQuery).
- 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 cross-functional 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., stand-ups, retrospectives).
- Strong ability to analyze complex problems and design effective solutions.
- Detail-oriented mindset for troubleshooting and debugging.
- Fast learner of new domain knowledge, with awareness of fuel cell technology a plus.
- Excellent interpersonal skills to work effectively with cross-functional teams.
- Ability to articulate complex technical concepts to non-technical stakeholders.
- Ability to mentor junior engineers and guide technical decisions.
- Experience in managing or leading small teams is a plus.
In return we offer a fantastic working environment with hybrid / flexible working and a comprehensive benefits package. This includes Life Insurance, Health Care Cash Plan, 28 Days Annual Leave, Share save Scheme and Pension along with enhanced Maternity, Paternity & Adoption pay and Shared Parental Leave as part of our family friendly policy.
Senior Data Product Engineer employer: Ceres
Contact Detail:
Ceres Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Product Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Azure Databricks and cloud-native data tools. Having hands-on experience or projects showcasing your skills in these areas can set you apart during discussions.
✨Tip Number 2
Network with professionals in the clean energy sector, especially those involved in data product development. Attend industry events or webinars to connect with potential colleagues and learn more about the challenges they face, which can help you tailor your approach.
✨Tip Number 3
Prepare to discuss your experience with Agile methodologies and how you've applied them in previous roles. Being able to articulate your understanding of Agile principles will demonstrate your readiness to work in a cross-functional team environment.
✨Tip Number 4
Showcase your ability to bridge the gap between technical and non-technical stakeholders. Think of examples where you've successfully communicated complex concepts to diverse audiences, as this skill is crucial for the role.
We think you need these skills to ace Senior Data Product Engineer
Some tips for your application 🫡
Understand the Company: Before applying, take some time to understand Ceres and its mission in clean energy innovation. Familiarise yourself with their projects, partnerships, and the technologies they use, especially in data product development.
Tailor Your CV: Make sure your CV highlights relevant experience in data product development, programming languages like Python and SQL, and familiarity with cloud environments. Emphasise any experience you have with Azure Databricks or similar tools.
Craft a Compelling Cover Letter: In your cover letter, express your passion for clean energy and innovation. Discuss how your skills align with the role's requirements and how you can contribute to the Data Product Team at Ceres.
Showcase Your Problem-Solving Skills: In your application, provide examples of complex problems you've solved in previous roles. Highlight your ability to work in Agile teams and your experience with DevOps practices, as these are crucial for the position.
How to prepare for a job interview at Ceres
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with programming languages like Python and SQL, as well as your familiarity with cloud environments such as Azure. Highlight specific projects where you've developed data products or solutions, demonstrating your technical skills and problem-solving abilities.
✨Understand the Business Context
Research Ceres and its role in clean energy innovation. Be ready to explain how your skills can contribute to their mission of decarbonising industries. Understanding the business requirements will help you translate them into effective data product specifications during the interview.
✨Emphasise Collaboration Skills
Since the role involves working closely with cross-functional teams, share examples of how you've successfully collaborated with data scientists, analysts, and software engineers in the past. Highlight your ability to act as a liaison between technical and non-technical stakeholders.
✨Demonstrate Agile Methodology Knowledge
Familiarity with Agile methodologies is crucial for this position. Be prepared to discuss your experience working within Agile workflows, including any specific ceremonies you've participated in, such as stand-ups or retrospectives. This will show your adaptability and understanding of modern project management practices.
