Senior Data Engineer

Compensation

• £60,000 – £80,000 Base 

• Performance Related Bonus

• Benefits

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.

To get a better understanding of how we think and some of the ways we work, check out our founder’s blog here:

Adam Sroka’s Blog

Role Purpose

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 real-time event streaming to big data analytics using modern tools across a range of technology stacks.

What you’ll do

• 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

Technical skills & experience

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 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
• Streaming technologies (Kafka, Kinesis, Flink, etc.)
• 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:

• 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
• 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
• 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

• Enhanced pension
• Performance related bonus
• Enhanced maternity/paternity
• Peer cash award scheme
• Cycle to work scheme
• Flexible remote/hybrid  working
• Events and community participation
• Private health insurance
• Health cash plan
• EV leasing scheme
• Training and 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.

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.

N.B. We are currently not able to sponsor visas.