Senior Analytics Engineer

• Cloud: Strong AWS, Azure or GCP (multi-cloud desirable, certs a plus)
• 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, * Requirements Gathering - Understand and translate end-user requirements into designs and delivery plans for effective data solutions
• Data Modelling - Model, build and test robust, fit-for-purpose data assets
• Data Pipelines - Design, develop, execute, and maintain highly automated data platforms, pipelines and applications using modern cloud technologies
• Data Governance - Ensure strong data governance involving discoverability, security, and data quality
• BI - Produce high quality, compelling visualisations to tell our client's stories
• Communicate Effectively - Produce high-quality communications, documentation, and presentations of solutions for colleagues
• Practice Building - Subject matter expert and evangelist for analytics engineering. 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

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:

• Cloud platform environments (AWS, Azure, GCP)
• SQL and Python
• Data modelling approaches for complex, business critical workloads
• Building data pipelines in both Data Warehousing (Snowflake, Redshift, Synapse, BigQuery, etc.) and Data Lakes/Lakehouses architectures (Databricks, Azure Fabric/OneLake, AWS Lake Formation, Spark, Athena, etc.)
• Working with ETL tools such as Fivetran, Hevo or Matillion in production environments
• BI tools such as Tableau / Power BI
• Testing

Additional experience with the following would be beneficial but not essential:

• Orchestration tools - Apache Airflow, Prefect or cloud-native tools
• Relational, NoSQL, graph and vector databases
• CI/CD and other DevOps practices such as IaC

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.

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

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 As a senior analytics 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 using modern tools across a range of technology stacks.