Senior Data Engineer

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

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting, Professional Services, and Services for Renewable Energy

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