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- Tasks: As a Senior Data Engineer, you'll build and deploy data solutions for clients in the energy sector.
- Company: Hypercube Consulting is a fast-growing AI specialist focused on transforming the energy industry with data.
- Benefits: Enjoy flexible working options, performance bonuses, private health insurance, and a supportive community.
- Why this job: Join us to tackle net-zero challenges while developing your personal brand and thought leadership.
- Qualifications: Experience with Python, SQL, and cloud technologies is ideal; diverse backgrounds are encouraged to apply.
- Other info: We value diversity and offer adjustments for applicants needing flexible hours or interview tweaks.
The predicted salary is between 51000 - 68000 £ per year.
This range is provided by Hypercube Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Hypercube Consulting
CEO at Hypercube – AI for the Energy Sector
Compensation
£60,000 – £80,000 Base + Performance Related Bonus + Benefits
TL;DR
- Location – Bristol UK, on-site requirement three days per week
- Consultancy / Energy Experience – Highly beneficial, not essential
- Visa Sponsorship – Not available – you must already have the right to work in the UK
- Flexibility – We welcome part‑time, condensed hours, job‑shares and other arrangements – if you’re unsure, apply and let’s talk
- Diversity & Inclusion – We want a broad mix of people and perspectives
Who We Are
Hypercube Consultingis a rapidly scaling data‑and‑AI specialist focused on the energy sector. We pair deep domain know‑how with modern technology to help utilities, renewables and low‑carbon innovators unlock value from data. Learn more about how we think on our founder’s blog at https://aesroka.susbtack.com
As a senior data engineer, you will truly understand a client’s requirements to build, test and deploy data solutions that help customers deliver more value from their data. This will be a senior role in the technical delivery teams and will guide and support the ongoing data strategy and roadmap goals of our customers. You\’ll get stuck into the end-to-end data workflow – everything from realtime event streaming to big data analytics using modern tools across a range of technology stacks.
Key Responsibilities
- Agile & Scrum Project Delivery – working with project managers, engineers, and other stakeholders to shape, estimate, and deliver using Agile delivery methodologies
- Requirements Gathering – Understand and translate end-user requirements into designs and delivery plans for effective data solutions
- Data Platforms & Pipelines – Design, develop, execute, and maintain highly automated data platforms, pipelines and applications using modern cloud technologies
- Data Quality – Analyse and resolve data quality issues
- Communicate Effectively – Produce high-quality communications, documentation, and presentations of solutions for colleagues
- Practice Building – Subject matter expert and evangelist for cloud data technologies. Helping to grow both our internal knowledge and skillsets as we scale.
- Commercial, Pre‑Sales & Outreach – Working with the business development team to shape and win new projects. Contribution to Hypercube’s blog and other outreach efforts
Technical Skills & Experience (core)
We understand that this list is extensive – please apply if you fit some or only part of it. We want to see the broadest range of possible candidates from a diverse mix of backgrounds. Technical skills are only part of the equation.
Ideally, you will have hands-on experience with the following in a previous role:
- Python
- SQL
- Data Warehousing (Snowflake, Redshift, Synapse, BigQuery, etc.)
- Data Lakes/Lakehouses and analytical tools (Databricks, Azure Fabric/OneLake, AWS Lake Formation, Spark, Athena, etc.)
- Relational, NoSQL, graph and vector databases
- Containers and related services (Docker, Kubernetes, container Registries, etc)
- CI/CD and other DevOps practices such as IaC
- Testing
Additional experience with the following would be beneficial but not essential:
- Orchestration tools – Apache Airflow, Prefect or cloud-native tools
- Backend software development (Java, APIs, Scalability, Logging and Monitoring etc.)
- LLMs and Agentic AI
- BI tools such as Tableau / Power BI
Other desirable skills and experience
- Ability to act as a senior mentor and leadership figure for a growing data and analytics consultancy
- Building projects or sharing knowledge in public – whether that be contributing to open source, blogging, YouTube, content creation, speaking at events, or similar.
- Experience translating designs of data solutions into action
- Analysis/requirements gathering, solution design, and implementation of data platform and cloud technologies
- Experience in collaborating in multi-disciplinary teams, including software engineers, DevOps and infrastructure teams, AI/ML engineers, data scientists etc.
- Experience in implementing integrations of data platforms to various types of external and on-premises systems
- Exceptional communication skills, both written and verbal – able to translate complex technical subject matter into easily understood presentations and written documentation for mixed technical audiences.
What’s in It for You?
- High Impact – Solve difficult problems for leading energy players tackling net‑zero challenges
- Flexible Working – Remote/hybrid, part‑time or condensed options – we measure outcomes, not chair‑time
- Personal Brand – We sponsor conferences, blog posts and OSS work – your thought‑leadership is encouraged
- Start‑Up Energy, Consultancy Rigour – Best of both worlds – fast decisions, minimal bureaucracy, clear processes
- Performance-Related Bonus
- Enhanced Pension
- Enhanced Maternity/Paternity
- Private Health Insurance
- Health Cash Plan
- Cycle-to-Work Scheme
- Flexible Working (remote/hybrid options)
- Events & Community involvement
- EV Leasing Scheme
- Training & Events Budget
Diversity & Inclusion
Hypercube aims to mirror the diversity of wider society. We welcome applications from all backgrounds and guarantee that hiring decisions are based on merit and potential alone. If you need adjustments – flexible hours, interview tweaks, or anything else – just tell us.
Ready to Apply?
Even if you tick only some of the boxes, we’d still love to hear from you. Apply via our careers page or reach out to the talent team on LinkedIn. Let’s accelerate the energy transition together – one intelligent model at a time.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
IT Services and IT Consulting, Professional Services, and Services for Renewable Energy
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Senior Data Engineer employer: Hypercube Consulting
Contact Detail:
Hypercube Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the energy sector and its challenges. Understanding the specific needs of utilities and low-carbon innovators will help you tailor your discussions and demonstrate your value during interviews.
✨Tip Number 2
Network with professionals in the data engineering and energy sectors. Attend relevant meetups or webinars to connect with potential colleagues and learn about industry trends, which can give you an edge in conversations.
✨Tip Number 3
Showcase your hands-on experience with modern cloud technologies and data platforms. Be prepared to discuss specific projects where you've successfully implemented these tools, as this will highlight your practical skills.
✨Tip Number 4
Prepare to discuss Agile methodologies and your experience working in cross-functional teams. Highlighting your ability to collaborate effectively with project managers and engineers will demonstrate your fit for the role.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Engineer role. Focus on your hands-on experience with Python, SQL, and data platforms like Snowflake or BigQuery.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the energy sector and how your background in data engineering can contribute to Hypercube Consulting's mission. Mention specific projects or achievements that demonstrate your expertise.
Showcase Communication Skills: Since exceptional communication is key for this role, include examples of how you've effectively communicated complex technical concepts to non-technical audiences in your application.
Highlight Collaborative Experience: Emphasise your experience working in multi-disciplinary teams. Provide examples of how you've collaborated with software engineers, DevOps, and data scientists to deliver successful projects.
How to prepare for a job interview at Hypercube Consulting
✨Understand the Company and Its Values
Before your interview, take some time to research Hypercube Consulting. Understand their mission in the energy sector and how they leverage data and AI. This will help you align your answers with their values and demonstrate your genuine interest in the company.
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with relevant technologies such as Python, SQL, and cloud data platforms. Highlight specific projects where you've successfully implemented data solutions, as this will showcase your expertise and problem-solving abilities.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world challenges. Prepare examples of how you've gathered requirements, designed data solutions, or resolved data quality issues in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Demonstrate Effective Communication Skills
As a senior data engineer, you'll need to communicate complex technical concepts clearly. Practice explaining your past projects and technical decisions in a way that's accessible to non-technical stakeholders. This will show your ability to bridge the gap between technical and non-technical teams.
