Checking job availability...
Original
Simplified
We are looking for a data engineer with technical abilities in data modelling, transformation and visualisation with proficient skills on data processing technologies and methods. Ideally people will possess experience in event-driven architecture and analytics modelling
Main Responsibilities
Create data pipelines that combine internal and external data, across several APIs and databases (relational and non-relational) preparing and refining data for analysis.
Main Responsibilities
Create data pipelines that combine internal and external data, across several APIs and databases (relational and non-relational) preparing and refining data for analysis.
- Ensure accuracy and integrity of data at all times. This includes testing and validating data pipelines
- Data Analysis, Visualisation and Dashboards: Creating clear, compelling, and accurate visualisations and dashboards that make complex data easily understandable
- Database Architecture and Optimisation: Developing database structures that are both efficient and scalable,
- Engaging with business stakeholders to assess their requirements, suggest outcomes, and translate business objectives into effective data visualisation solutions
- Python and SQL or related coding experience
- Proficiency with Git and CI/CD & DevOps tools
- Experience with scripting languages (Bash, shell scripting),
- Proficiency on ETL processes and data modelling
- Proficiency in visualisation tools such as Tableau and Power BI
- Skilled with relational databases (SQL Server, Oracle or PostgreSQL)
- Strong communication skills, written and verbal
- Effective problem-solving and critical-thinking abilities to tackle data-related challenges
- Able to multitask, switch focus and prioritise tasks
- Can take ownership of any issues that come up and facilitates their resolution quickly using their own initiative
- Commodities industry experience
- Experience with Docker and containers desirable
- Broad experience with cloud computing (e.g. Microsoft Azure or AWS) beneficial
- Experience of working in the commodities market or prior knowledge of a trading environment
We are looking for a data engineer with technical abilities in data modelling, transformation and visualisation with proficient skills on data processing technologies and methods. Ideally people will possess experience in event-driven architecture and analytics modelling
Main Responsibilities
Create data pipelines that combine internal and external data, across several APIs and databases (relational and non-relational) preparing and refining data for analysis.
Main Responsibilities
Create data pipelines that combine internal and external data, across several APIs and databases (relational and non-relational) preparing and refining data for analysis.
- Ensure accuracy and integrity of data at all times. This includes testing and validating data pipelines
- Data Analysis, Visualisation and Dashboards: Creating clear, compelling, and accurate visualisations and dashboards that make complex data easily understandable
- Database Architecture and Optimisation: Developing database structures that are both efficient and scalable,
- Engaging with business stakeholders to assess their requirements, suggest outcomes, and translate business objectives into effective data visualisation solutions
- Python and SQL or related coding experience
- Proficiency with Git and CI/CD & DevOps tools
- Experience with scripting languages (Bash, shell scripting),
- Proficiency on ETL processes and data modelling
- Proficiency in visualisation tools such as Tableau and Power BI
- Skilled with relational databases (SQL Server, Oracle or PostgreSQL)
- Strong communication skills, written and verbal
- Effective problem-solving and critical-thinking abilities to tackle data-related challenges
- Able to multitask, switch focus and prioritise tasks
- Can take ownership of any issues that come up and facilitates their resolution quickly using their own initiative
- Commodities industry experience
- Experience with Docker and containers desirable
- Broad experience with cloud computing (e.g. Microsoft Azure or AWS) beneficial
- Experience of working in the commodities market or prior knowledge of a trading environment