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- Tasks: Build and deploy data solutions that drive value for clients in the energy sector.
- Company: Hypercube Consulting, a fast-growing data and AI specialist.
- Benefits: Competitive salary, performance bonuses, flexible working, and health benefits.
- Other info: Diverse and inclusive workplace with opportunities for personal brand development.
- Why this job: Join a mission-driven team tackling net-zero challenges with innovative data solutions.
- Qualifications: Experience in data engineering, Python, SQL, and cloud technologies.
The predicted salary is between 60000 - 80000 £ 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: £60,000 - £80,000 Base + Performance Related Bonus + Benefits
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 Consulting is 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.
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 real-time 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
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 tools such as Tableau / Power BI
- 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.
- 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
- 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.
Senior Data Engineer in England employer: Hypercube Consulting
Contact Detail:
Hypercube Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, whether it's through GitHub or a personal website. This gives us a tangible way to see what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. We want to see how you think on your feet, so be ready to discuss your past experiences and how they relate to our needs.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, we value diverse backgrounds and experiences. Just hit that apply button and let’s chat about how you can fit into our team!
We think you need these skills to ace Senior Data Engineer in England
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your technical skills and experience. We want to see how you can contribute to our data solutions, so don’t hold back on showcasing your expertise in Python, SQL, or any cloud technologies you've worked with.
Tailor Your Application: Take a moment to tailor your application to the role. Mention specific projects or experiences that align with the responsibilities of a Senior Data Engineer. This shows us that you understand what we’re looking for and how you fit into our team.
Be Clear and Concise: We appreciate clear communication, so keep your application straightforward. Use bullet points where possible and avoid jargon unless it’s relevant. This helps us quickly grasp your qualifications and makes your application stand out.
Apply Through Our Website: Don’t forget to apply through our careers page! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about who we are and what we do.
How to prepare for a job interview at Hypercube Consulting
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and cloud platforms. Brush up on your knowledge of data warehousing and analytics tools, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Highlight your experience with Agile methodologies and how you've contributed to successful project deliveries in previous roles.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll need to demonstrate your ability to communicate effectively with both technical and non-technical stakeholders, so think about how you can make your past experiences relatable.
✨Be Ready for Collaboration Questions
Expect questions about teamwork and collaboration, especially since this role involves working with multi-disciplinary teams. Prepare examples that showcase your ability to work alongside software engineers, data scientists, and other professionals to achieve common goals.