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Data Engineer

Salary undisclosed

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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.

  • 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


Requirements

  • 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)


Person Specification:

  • 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


Beneficial Requirements:

  • 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.

  • 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


Requirements

  • 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)


Person Specification:

  • 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


Beneficial Requirements:

  • 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