Senior Data Engineer

Compensation £60,000 - £80,000 Base + Performance Related Bonus + Benefits TL;DR Senior data engineer role No visa sponsorship available currently Fast growing technology consultancy specialising in the energy sector, based in the UK Must have AWS or Azure cloud experience Certifications in either AWS or Azure desirable No direct line management requirement (unless desired) Experience working in consultancy is a bonus Experience working in Energy is a bonus Diversity and Inclusion are extremely important to us - will consider job shares, part-time, and flexible arrangements to bring in the best people - please reach out if you want to discuss Please apply if you fit some but not all of the asks in this role, we're very open and will consider everyone on potential as well as experience Role purpose Work with our expert data and analytics consultants to 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.

Day-to-day work will involve project delivery and collaborating with stakeholders across our internal and customer teams.
Capturing requirements and working with the other consultants to turn them into production-grade solutions.

You will act as a champion and subject matter expert for data engineering and Azure cloud platform ways of working across the business, helping to cross-skill and upskill others.

You will also be heavily involved in the outreach and knowledge sharing that Hypercube does.
We strongly believe that giving back to the community is an important part of our purpose and the best way to learn.
We will help you grow your brand through speaking, blogging, or other outreach methods should you prefer.

Finally, you'll be in the driving seat to help shape and win new projects, whether that be through presales demos, meeting with prospective customers, or shaping longer-term relationships.

To get a better understanding of how we think and some of the ways we work, check out our founder's blog here: Accountabilities Work with developers, managers, and business stakeholders to understand and define components of the data landscape and how it relates to the data strategy Understand and translate end-user requirements into designs and delivery plans for effective data solutions Leverage automated ETL and reporting using cloud platform technologies Design, develop, execute, and maintain highly automated data pipelines using cloud technologies Analyse and resolve data quality issues Build, maintain, and support data workstreams and the necessary infrastructure as part of a data and analytics delivery team Produce high-quality communications, documentation, and presentations of solutions for colleagues Subject matter expert and evangelist for cloud data technologies Contribution to Hypercube's blog and other outreach efforts Working with the business development team to shape and win new projects Helping to grow both our internal knowledge and skillsets as we scale.
Technical skills 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 extensive hands-on experience with the following:
Data Architecture Spark Kafka Databricks SQL Python Delta Orchestration - Apache Airflow / Prefect / Azure Data Factory / Glue Storage and modelling - Data Lake, Data Warehouse, Lakehouse Additional experience with the following would be beneficial but not essential:
CI/CD Terraform Containers and related services (AKS, Container Registry, Kubernetes) Docker 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.
Strong stakeholder management Experience translating designs of Azure data solutions into action Data modelling experience Analysis/requirements gathering, solution design, and implementation of data platform and Azure technologies Experience in collaborating in multi-disciplinary teams, including software engineers, DevOps and infrastructure teams, data scientists etc.
Experience in implementing integrations of the Azure data platform to various types of external and on-premises systems Experience with migrating large, complex on-premises data warehouses to Azure 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?
Hypercube is a young, growing data and analytics consultancy that aims to bring in the best possible talent to solve the most interesting challenges for our customers.
We're willing to do what it takes to secure the best possible people.
We want to build a world-class team.

You'll be one of the earliest hires for our organisation and, therefore, will have a huge impact on the culture and how it is shaped.
You'll have the chance to influence decisions in a fast-paced start-up and grow with the organisation.

You'll have direct access to our existing team of experienced data and analytics leaders and their wider network.

You'll also be helped to grow your own brand as you contribute to the outward-facing aspects of this business.

Benefits Pension Maternity / Paternity - significantly enhanced Performance related bonus Cycle to work scheme Flexible working Events and community Private health insurance Health cash plan EV leasing scheme (soon!)
Training and events budget Mentorship programmes IMPORTANT!!
Hypercube is committed to creating a diverse and inclusive employee environment which is as representative as possible of our society.
All qualified applicants will receive consideration for employment without regard to age, disability, gender reassignment, marriage and civil partnership, pregnancy/maternity, race, nationality, religion or belief, gender, and sexual orientation.

Finally, we would consider part-time, condensed hours, job-share, and other flexible arrangements to secure the absolute best people.
If in doubt, please ask, and we'll see how to make it work.