Data Architect
2 weeks ago
Be a Key Player in Digital Transformation
Newton Europe is a leading management consultancy that empowers clients to achieve tangible benefits through process optimisation and cost reduction. As a Data Engineer, you will be part of a highly skilled team that delivers impressive results in data science and analytics, systems change, technology, and data architecture.
The Digital practice at Newton Europe is rapidly growing and is fully embedded into our core consulting teams. You will be working on large-scale data infrastructures, designing, developing, and maintaining them to deliver exceptional results for our clients. Your expertise in SQL, NoSQL databases, data modeling, and ETL pipeline design will be invaluable in this role.
You will be leading the gathering, manipulation, and analysis of data on major transformation programmes. Your ability to get under the skin of client data and processes will help you identify areas where value can be added. You will create new opportunities to deliver value to clients through data and digital, implementing data-driven actionable insights that drive change across an organisation.
You will build pipelines that are suitable for Data Scientists and analysts working in a Python environment. Your effective relationships with stakeholders in the client organisation will help you influence and coach them to implement a data-driven capability within their organisation.
Requirements
- 5 years plus experience in designing, developing, delivering, and maintaining large-scale data infrastructures
- SQL Master - extensive knowledge and experience with SQL queries
- Extensive data modeling experience, especially with low-quality data – knowledge of common methods like third normal form and star schema
- Strong shell scripting abilities
- Proficiency in using Cloud services for data engineering, storage, and analytics
- Expert Python developer with a working knowledge of data science
- Proficient with software engineering best practices (monitoring, testing, documentation)
- Experience in Real-time data ingestion (e.g. Kafka)
- Able to troubleshoot data issues in dashboarding tools (Power BI) and suggest solutions