Data Engineer
4 days ago
Data is at the heart of solving complex problems and critical challenges. A unique position has arisen due to access to vast amounts of data, world-leading domain specialists, and a diverse range of clients with unique challenges.
The Data Intelligence Practice helps clients organise, analyse, and visualise their data to create actionable insights from static and real-time sources using industry-leading tools and techniques. Our client's markets are Aerospace, Defence, Security, Government & Infrastructure (Energy, Water, Transport).
We are looking for a passionate Senior Data Engineer who will use data to solve real-world problems, and you will have the satisfaction of seeing the direct results of your work.
Key Responsibilities:
- Create and maintain optimal data architectures and pipelines.
- Assemble large, complex data sets that meet functional and non-functional business requirements.
- Discover opportunities to acquire new data from other systems.
- Develop and improve data set processes for data modelling, mining, and production.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
- Recommend and implement ways to improve data reliability, efficiency, and quality.
- Work with Data Scientists and Machine Learning Engineers to build analytics tools that utilise the data pipeline to provide actionable insights into asset management, operational efficiency, and other key business performance metrics.
- Collaborate with stakeholders including the Product owner, data science, and design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data scientist team members that assist them in building and optimising the products that help business achieving their goals.
£50k-£85k
Requirements:
- Degree or equivalent in a relevant subject e.g. Computer Science, Information Systems, or related Technical Discipline.
- Deep knowledge of SQL, Azure/AWS/GCP Cloud based data pipelines, architectures, and data sets.
- Experience working with big data tools such as Hadoop, Spark is required.
- Experience working with large data sets, data pipeline and workflow management tools, Azure cloud services, and stream-processing system.
- Experience working in an agile environment or organisations with an agile culture.
- A professional attitude and an ability to think outside of the box to solve complex challenges.
- Background in programming in Python, Scala, C, C++, or Java would be beneficial.
- Good written and verbal communication skills along with strong desire to work in cross-functional teams.
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