Senior Analytics Engineer in Glasgow

This range is provided by Hypercube Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay rangeDirect message the job poster from Hypercube Consulting

CEO at Hypercube – AI for the Energy SectorCompensation

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

TL;DR

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

Consultancy / Energy Experience: Highly beneficial, not essential

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

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

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.

Key Responsibilities

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

Technical Skills & Experience (core)

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.

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

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

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.

Seniority levelMid‐Senior level

Employment typeFull‐time

Job functionInformation Technology

IndustriesIT Services and IT Consulting and Services for Renewable Energy

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