Data Engineers
OECD
Full-time
On-site
Paris Île-de-France France
Company Description
The OECD is a global economic forum working with 36 member countries and more than 100 emerging and developing economies to make better policies for better lives. Our mission is to promote policies that will improve the economic and social well-being of people around the world. The Organisation provides a unique forum in which governments work together to share experiences on what drives economic, social and environmental change, seeking solutions to common problems.
The International Energy Agency (IEA) is an intergovernmental organisation committed to advancing security of energy supply, economic growth and environmental sustainability through energy policy co-operation. The IEA operates as an autonomous body within the framework of the Organisation for Economic Co-operation and Development. Both the OECD and the IEA seek opportunities to work with an increasing number of non-members of growing importance to the world economy.
IEA’s Information Systems Unit (ISU) provides the IT infrastructure, systems, and applications that support the IEA’s core substantive work, including the management of energy statistics databases and related applications. The IEA is seeking to crate a talent pool for Data Engineer positions potentially upcoming in the next 12 months. Data Engineers will work on the ongoing modernization of the IEA’s data architecture. This role will allow for candidates to work on a high-performance, scalable, and cost-effective centralized data platform—grounded in data warehouse principles and modern engineering practices—to deliver reliable, high-quality data to energy analysts and economists for in-depth market research and analysis.
Successful candidates will be given and opportunity to be considered for potential upcoming positions which may start as early as January 2026. Data Engineers will work under the supervision of the Lead Data Solution Architect and the Head of the Information Systems Unit.
Job Description
Main Responsibilities
Work with ISU and other teams to analyse, develop, test and deploy optimised, data and business intelligence solutions to help manage our growing data infrastructure.
Collaborate with engineers and data analysts to build and maintain Python-based backend services that support data processing and AI applications.
Contribute to the development of internal tools such as chatbots, semantic search engines, or dataset assistants using modern AI frameworks.
Assist in the implementation and improvement of data pipelines, APIs, and vector search systems under senior guidance.
Participate in projects that integrate language models (LLMs) like GPT or LLaMA into secure applications that respect confidentiality and data sovereignty.
Help containerize applications using Docker and support deployment in our hybrid (cloud + on-prem) environment.
Support testing, code reviews, and documentation of key software components.
Learn about our data warehouse ecosystem and contribute to projects that improve data access, validation, or reporting.
Work with senior engineers to identify innovative uses of AI and build small prototypes that can evolve into production tools..
Example Projects You’ll Contribute To
Secure AI Assistant for Reports: Help build tools that allow IEA staff to ask questions and retrieve insights from internal reports, using retrieval-augmented generation (RAG) and LLMs.
Data Validation Pipelines: Support the creation of automated checks that align datasets with the narratives of official publications.
Open-Source LLM Experiments: Assist in experimenting with self-hosted models like Mistral or LLaMA and deploy them on-prem using tools like vLLM and LangChain.
Internal Python Libraries: Contribute to shared Python codebases that make our data processing more consistent and reusable.
Maintaining the IEA Data Warehouse: Participate in the upkeep and improvement of our SQL Server–based data warehouse, helping to ensure data integrity, optimize queries, and support analytics and reporting pipelines used across the agency.
In addition to leading key projects, you’ll have space to innovate—partnering with analysts and engineers to frame and deliver AI-driven solutions with real impact.
Qualifications
Ideal Candidate Profile
Academic Background
Undergraduate degree or higher in Computer Science, Statistics, Economics, Mathematics, Management Information Systems, Data Management, or a related field.
Professional Background
3+ years of experience in data engineering, infrastructure, or software development.
Very good programming skills in Python, with a good grasp of software engineering principles.
Skilled in agile delivery, version control, testing, and CI/CD.
Interest in learning how to work with tools like Docker, Git, Milvus, Azure, or Hugging Face Transformers.
Experience building data-driven applications or APIs, with awareness of usability and long-term maintainability.
Familiarity with developing user-facing tools in Dash.
Strong grasp of ETL design, data pipelines (e.g., Dagster), and SQL-based data warehousing.
Experience with Linux systems, virtualization (e.g., Hyper-V, VMware), and general server management.
Strong knowledge of SQL and data modeling is a plus.
Strong desire to work in a mission-driven environment and grow your technical skills with real mentorship.
Demonstrated self-motivation and ability to work independently as well as to work collaboratively and effectively in small technical/engineering teams
Core Competencies
OECD staff are expected to demonstrate behaviours aligned to six core competencies which will be assessed as part of this hiring processes: Vision and Strategy (Level 1); Enable People (Level 1); Ethics and Integrity (Level 2); Collaboration and Horizontality (Level 2); Achieve Results (Level 2); Innovate and Embrace Change (Level 2).
There are three possible levels for each competency. The level for each competency is determined according to the specific needs of each job role and its associated grade.
To learn more about the definitions for each competency for levels 1-3, please refer to OECD Core Competencies
Languages
Excellent knowledge of written and spoken English; working knowledge of French would be an advantage.
Additional Information
Closing Date
This vacancy should be filled by the beginning of 2026, and applications should reach us no later than midnight August 17, 2025 (Paris time).
Contract Duration
This is a generic recruitment to identify a talent pool for potential future upcoming positions.
IEA offers a fixed-term contracts initially for 24 months, with the possibility of renewal.
What the OECD offers
Depending on level of experience, monthly salary starts at 5,185.99 EUR, plus allowances based on eligibility, exempt of French income tax.
Click here to consult the Staff Regulations applicable to officials of the OECD. Please note that from 1 July 2025, all Official appointments will be made under the OECD’s new contractual modalities.
Click here to learn more about what we offer and why the OECD is a great place to work.
Click here to browse our People Management Guidebook and learn more about all aspects relating to people at the OECD, our workplace environment and many other policies supporting staff in their daily life.
Please note that the appointment may be made at one grade lower in the specified job family, based on the qualifications and professional experience of the selected applicant.
This vacancy may be used to create a pool of candidates for comparable positions, both for open-ended and fixed-term functions.
Selection Process
For retained candidates, written tests/video-recorded interviews are foreseen in October 2025 and panel interviews are planned for November 2025.
The OECD is an equal opportunity employer and welcomes the applications of all qualified candidates who are nationals of OECD member countries, irrespective of their racial or ethnic origin, opinions or beliefs, gender, sexual orientation, health or disabilities.
The OECD promotes an optimal use of resources in order to improve its efficiency and effectiveness. Staff members are encouraged to actively contribute to this goal.
The OECD is a global economic forum working with 36 member countries and more than 100 emerging and developing economies to make better policies for better lives. Our mission is to promote policies that will improve the economic and social well-being of people around the world. The Organisation provides a unique forum in which governments work together to share experiences on what drives economic, social and environmental change, seeking solutions to common problems.
The International Energy Agency (IEA) is an intergovernmental organisation committed to advancing security of energy supply, economic growth and environmental sustainability through energy policy co-operation. The IEA operates as an autonomous body within the framework of the Organisation for Economic Co-operation and Development. Both the OECD and the IEA seek opportunities to work with an increasing number of non-members of growing importance to the world economy.
IEA’s Information Systems Unit (ISU) provides the IT infrastructure, systems, and applications that support the IEA’s core substantive work, including the management of energy statistics databases and related applications. The IEA is seeking to crate a talent pool for Data Engineer positions potentially upcoming in the next 12 months. Data Engineers will work on the ongoing modernization of the IEA’s data architecture. This role will allow for candidates to work on a high-performance, scalable, and cost-effective centralized data platform—grounded in data warehouse principles and modern engineering practices—to deliver reliable, high-quality data to energy analysts and economists for in-depth market research and analysis.
Successful candidates will be given and opportunity to be considered for potential upcoming positions which may start as early as January 2026. Data Engineers will work under the supervision of the Lead Data Solution Architect and the Head of the Information Systems Unit.
Job Description
Main Responsibilities
Work with ISU and other teams to analyse, develop, test and deploy optimised, data and business intelligence solutions to help manage our growing data infrastructure.
Collaborate with engineers and data analysts to build and maintain Python-based backend services that support data processing and AI applications.
Contribute to the development of internal tools such as chatbots, semantic search engines, or dataset assistants using modern AI frameworks.
Assist in the implementation and improvement of data pipelines, APIs, and vector search systems under senior guidance.
Participate in projects that integrate language models (LLMs) like GPT or LLaMA into secure applications that respect confidentiality and data sovereignty.
Help containerize applications using Docker and support deployment in our hybrid (cloud + on-prem) environment.
Support testing, code reviews, and documentation of key software components.
Learn about our data warehouse ecosystem and contribute to projects that improve data access, validation, or reporting.
Work with senior engineers to identify innovative uses of AI and build small prototypes that can evolve into production tools..
Example Projects You’ll Contribute To
Secure AI Assistant for Reports: Help build tools that allow IEA staff to ask questions and retrieve insights from internal reports, using retrieval-augmented generation (RAG) and LLMs.
Data Validation Pipelines: Support the creation of automated checks that align datasets with the narratives of official publications.
Open-Source LLM Experiments: Assist in experimenting with self-hosted models like Mistral or LLaMA and deploy them on-prem using tools like vLLM and LangChain.
Internal Python Libraries: Contribute to shared Python codebases that make our data processing more consistent and reusable.
Maintaining the IEA Data Warehouse: Participate in the upkeep and improvement of our SQL Server–based data warehouse, helping to ensure data integrity, optimize queries, and support analytics and reporting pipelines used across the agency.
In addition to leading key projects, you’ll have space to innovate—partnering with analysts and engineers to frame and deliver AI-driven solutions with real impact.
Qualifications
Ideal Candidate Profile
Academic Background
Undergraduate degree or higher in Computer Science, Statistics, Economics, Mathematics, Management Information Systems, Data Management, or a related field.
Professional Background
3+ years of experience in data engineering, infrastructure, or software development.
Very good programming skills in Python, with a good grasp of software engineering principles.
Skilled in agile delivery, version control, testing, and CI/CD.
Interest in learning how to work with tools like Docker, Git, Milvus, Azure, or Hugging Face Transformers.
Experience building data-driven applications or APIs, with awareness of usability and long-term maintainability.
Familiarity with developing user-facing tools in Dash.
Strong grasp of ETL design, data pipelines (e.g., Dagster), and SQL-based data warehousing.
Experience with Linux systems, virtualization (e.g., Hyper-V, VMware), and general server management.
Strong knowledge of SQL and data modeling is a plus.
Strong desire to work in a mission-driven environment and grow your technical skills with real mentorship.
Demonstrated self-motivation and ability to work independently as well as to work collaboratively and effectively in small technical/engineering teams
Core Competencies
OECD staff are expected to demonstrate behaviours aligned to six core competencies which will be assessed as part of this hiring processes: Vision and Strategy (Level 1); Enable People (Level 1); Ethics and Integrity (Level 2); Collaboration and Horizontality (Level 2); Achieve Results (Level 2); Innovate and Embrace Change (Level 2).
There are three possible levels for each competency. The level for each competency is determined according to the specific needs of each job role and its associated grade.
To learn more about the definitions for each competency for levels 1-3, please refer to OECD Core Competencies
Languages
Excellent knowledge of written and spoken English; working knowledge of French would be an advantage.
Additional Information
Closing Date
This vacancy should be filled by the beginning of 2026, and applications should reach us no later than midnight August 17, 2025 (Paris time).
Contract Duration
This is a generic recruitment to identify a talent pool for potential future upcoming positions.
IEA offers a fixed-term contracts initially for 24 months, with the possibility of renewal.
What the OECD offers
Depending on level of experience, monthly salary starts at 5,185.99 EUR, plus allowances based on eligibility, exempt of French income tax.
Click here to consult the Staff Regulations applicable to officials of the OECD. Please note that from 1 July 2025, all Official appointments will be made under the OECD’s new contractual modalities.
Click here to learn more about what we offer and why the OECD is a great place to work.
Click here to browse our People Management Guidebook and learn more about all aspects relating to people at the OECD, our workplace environment and many other policies supporting staff in their daily life.
Please note that the appointment may be made at one grade lower in the specified job family, based on the qualifications and professional experience of the selected applicant.
This vacancy may be used to create a pool of candidates for comparable positions, both for open-ended and fixed-term functions.
Selection Process
For retained candidates, written tests/video-recorded interviews are foreseen in October 2025 and panel interviews are planned for November 2025.
The OECD is an equal opportunity employer and welcomes the applications of all qualified candidates who are nationals of OECD member countries, irrespective of their racial or ethnic origin, opinions or beliefs, gender, sexual orientation, health or disabilities.
The OECD promotes an optimal use of resources in order to improve its efficiency and effectiveness. Staff members are encouraged to actively contribute to this goal.