Senior Data Engineer
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Role details
Tech stack
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Job description
- 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, * 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
Requirements
- Consultancy / Energy Experience - Highly beneficial, not essential, 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.
Benefits & conditions
£60,000 - £80,000 Base + Performance Related Bonus + Benefits, * 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
About the company
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
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.
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