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Data Engineer
2 months ago
We are seeking a highly skilled Data Engineer to join our team at Hypercube Consulting, a leading data and AI consulting company for the energy sector. As a Data Engineer, you will play a key role in helping our customers deliver more value from their data.
Key Responsibilities- Work with our expert data and analytics consultants to understand and define components of the data landscape and how it relates to the data strategy.
- Translate end-user requirements into designs and delivery plans for effective data and analytics solutions.
- Leverage open source and cloud platform technologies to deliver robust solutions.
- Design, develop, execute, and maintain data platform, analytics, AI, and machine learning tools for our customers.
- Discover, analyze, and present findings to customers and stakeholders.
- Build, maintain, and support data platform, machine learning, and AI solutions using the latest best practices in Data Engineering, MLOps, and ML Engineering.
- Produce high-quality communications, documentation, and presentations of solutions for colleagues and customers.
- Subject-matter expert and evangelist for data/machine learning engineering.
- Contribute to Hypercube's blog and other outreach efforts.
- Work with the business development team to shape and win new projects.
- Help grow both our internal knowledge and skill sets as we scale.
We are looking for candidates with hands-on experience in the following areas:
- Python
- SQL
- Spark/Databricks
- Data Lakes and associated storage technologies
- Cloud platforms (AWS, Azure, GCP)
Additional experience with the following would be beneficial but not essential:
- Apache Airflow/Prefect/Azure Data Factory
- Containers and related services (AKS, Container Registry)
- Kubernetes
- Docker
- CI/CD
- Testing
- Ability to act as a driving force in 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 difficult business questions and designs of data solutions into action.
- Analysis/requirements gathering, solution design, and implementation of data science solutions.
- Experience in collaborating in multidisciplinary teams, including software engineers, DevOps, and infrastructure teams, data scientists, etc.
- Experience in deploying and maintaining a machine learning system and data pipelines in a production cloud environment.
- Exceptional communication skills, both written and verbal – able to translate complex technical subjects into easily understood presentations and written documentation for mixed technical audiences.
As a Data Engineer at Hypercube Consulting, you will have the opportunity to work with a talented team of data and analytics experts, helping our customers deliver more value from their data. You will have direct access to our existing team of experienced data and analytics leaders and their wider network. You will also be helped to grow your own brand as you contribute to the outward-facing aspects of this business.
Benefits- Pension
- 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 programs
- And more to come (we're exploring some cool stuff, watch this space)