Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 2 hours ago

Data Engineer

Hypercube Consulting4 open roles

Where
Glasgow, United Kingdom
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData EngineerHypercube Consulting · Glasgow, United Kingdom

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Hypercube Consulting's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market. Hypercube Consulting postings stay open a median of 6 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: first seen 2 hours ago

Hypercube Consulting median: 6 days open

The posting

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
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Hypercube Consulting's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Hypercube Consulting's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Hypercube Consulting's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.