Data Engineer

Wearehypercube; Glasgow; Hybrid; GBP 40,000 - 60,000; Full time

Benefits offered by this job

Remote/hybrid options

Performance-Related Bonus

Enhanced Pension

Private Health Insurance

Training & Events Budget

Job summary

Hypercube Consulting is seeking a Data Engineer in the UK with strong AWS, Azure or GCP skills to build end-to-end data solutions for clients in the energy sector. You will work on data pipelines, data lakes, and analytics using modern tools across multiple cloud stacks.

The role welcomes flexible working arrangements including part-time or condensed hours. Experience in energy sector projects is highly beneficial but not essential, and visa sponsorship is not available.

Qualifications

• Hands-on experience with data pipelines and cloud tech.
• Ability to design scalable data platforms and perform testing.

Responsibilities

• Understand and translate end-user requirements into data solution designs and delivery plans.
• Develop, test, deploy, and maintain automated data platforms and pipelines.
• Analyse data quality issues and resolve them.
• Produce clear communications and documentation for colleagues.
• Collaborate with business development to shape and win new projects.

Skills

Python

SQL

Cloud architecture

Data Lakes/Lakehouses

Databricks

CI/CD

Testing

Tools

Docker

Kubernetes

Apache Airflow

Job description

Compensation

£40,000 - £60,000 Base + Performance Related Bonus + Benefits

TL;DR

• Role: Data engineer role
• Location: UK‑based, fast growing data and AI consultancy specialising in the energy sector
• Cloud: Strong AWS, Azure or GCP (multi‑cloud desirable, certs a plus)
• Consultancy / Energy Experience: Highly beneficial, not essential
• 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 Adam Sroka - Beyond Data | Substack

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 (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:

• 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

• Performance-Related Bonus
• Enhanced Pension
• Enhanced Maternity/Paternity
• Private Health Insurance
• Health Cash Plan
• Peer Cash Award Scheme
• Cycle-to-Work Scheme
• Flexible Working (remote/hybrid options)
• Events & Community involvement
• EV Leasing Scheme
• Training & Events Budget
• Mentorship Programmes

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.