Data Engineer
Listed on 2025-12-01
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IT/Tech
Data Engineer, Cloud Computing
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:
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 ResponsibilitiesRequirements 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 & ExperienceWe 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
- Data Lakes/Lake houses and analytical tools (Databricks, Azure Fabric/One Lake, AWS Lake Formation, Spark, Athena, etc.)
- CI/CD and other Dev Ops practices such as IaC
- Testing
Additional experience with the following would be beneficial but not essential:
- Data Warehousing (Snowflake, Redshift, Synapse, Big Query, etc.)
- Relational, No
SQL, graph and vector databases - Containers and related services (Docker, Kubernetes, container Registries, etc.)
- 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
- Building projects or sharing knowledge in public – whether that be contributing to open source, blogging, You Tube, 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, Dev Ops 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.
- Pension
- Performance related bonus
- Enhanced Maternity/Paternity
- Cycle to work scheme
- Events and community
- Private health insurance
- Health cash plan
- EV leasing scheme
- Training and events budget
Hypercube aims to mirror the diversity of wider society. We welcome applications from all backgrounds and guarantee…
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