Data Engineer
Compensation
-
£40,000 – £60,000 Base
-
Performance Related Bonus
-
Benefits
Who We Are
Hypercube Consulting is the leading technology partner for the energy sector. We’re building a world-class team of data experts with deep domain knowledge in all things energy.
To get a better understanding of how we think and some of the ways we work, check out our founder’s blog here:
Role Purpose
As a 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. 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 – with the opportunity to develop production-grade solutions using the most current technology.
Key Responsibilities
Requirements Gathering – Understand and translate end-user requirements into designs and delivery plans for effective data solutions
Data Platforms & Pipelines – Develop, test, deploy, 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
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
We understand that this list is extensive – please apply if you fit some or only part of it we’re flexible and are mostly looking for bright people that can adapt as the role grows. 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
- Cloud platform architecture (AWS, Azure, GCP)
- Data Lakes/Lakehouses and analytical tools (Databricks, Azure Fabric/OneLake, AWS Lake Formation, Spark, Athena, etc.)
- CI/CD and other DevOps practices such as IaC
- Testing
Additional experience with the following would be beneficial but not essential:
- Data Warehousing (Snowflake, Redshift, Synapse, BigQuery, etc.)
- Relational, NoSQL, graph and vector databases
- Streaming technologies (Kafka, Kinesis, Flink, etc.)
- Containers and related services (Docker, Kubernetes, container Registries, etc)
- 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
- 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
- Pension
- Performance related bonus
- Enhanced Maternity/Paternity
- Cycle to work scheme
- Flexible working
- Events and community
- Private health insurance
- Health cash plan
- EV leasing scheme
- Training and events budget
- Mentorship programmes
- Peer Cash Award Scheme
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.
N.B. We are currently not able to sponsor visas.
