Senior Data Engineer

Compensation
£60,000 - £80,000 Base + Performance Related Bonus + Benefits

TL;DR
Role:

Senior level data engineer role
Location:

UK‑based, fast growing data and AI consultancy specialising in the energy sector
Cloud:

Strong AWS, Azure or GCP (multi‑cloud desirable, certs a plus)
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. Learn more about how we think on our founder’s blog at

https://aesroka.susbtack.com

Role purpose
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
Requirements Gathering -

Understand and translate end-user requirements into designs and delivery plans for effective data solutions
Data Platforms and 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 and Outreach -

Working with the business development team to shape and win new projects. Contribution to Hypercube’s blog and other outreach efforts

Technical Skills and Experience
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.

Core

- Ideally, you will have hands-on experience with the following in a previous role:
Python
SQL
Cloud platform architecture (AWS, Azure, GCP)
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
Streaming technologies (Kafka, Kinesis, Flink, etc.)
Containers and related services (Docker, Kubernetes, container Registries, etc)
CI/CD and other DevOps practices such as IaC
Testing

Nice to have

- Additional experience with the following would be beneficial but not essential:
Data modelling approaches (Kimball, Imnon)
Orchestration tools - Apache Airflow, Prefect or cloud-native tools
Backend software development (Java, APIs, Scalability, Logging and Monitoring etc.)
MLFlow and other MLOps / Machine Learning Engineering processes to support advanced analytical use cases
LLMs and Agentic AI
BI tools such as Tableau / Power BI

Other desirable skills and experience
Strong stakeholder management
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
Data modelling experience
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

Benefits
Performance-Related Bonus
Enhanced Pension
Enhanced Maternity/Paternity
Private Health Insurance
Health Cash Plan
Peer Cash Award Scheme
Cycle-to-Work Scheme
Flexible Working (remote/hybrid options)
Events & Community involvement
EV Leasing Scheme
Training & Events Budget
Mentorship Programmes

Diversity and 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.