Data Engineer (m-f-d)

Level: Manager
Location: Bonn, Germany
Deadline: 08 December 2022
work for us

The Mission

FSC works to take care of our forests and those who rely on them: by protecting plant and animal species, Indigenous Peoples’ rights, forest workers’ safety, and much more. We achieve this through FSC certification, ensuring forests around the world are responsibly managed. For more information on FSC, visit our website at

To effectively meet the challenge of protecting the world’s forests, we are committed to ensuring we have the world’s most skilled people working with us. This commitment extends to everyone that works in FSC around the world: from those that lead the design of policies and standards, to those that roll out those same policies and standards on the ground, and to those that provide us with backbone to do our work.

We are looking for an engaged Data Engineer who brings solid expertise and a passion for FSC’s mission, to work with us in a multinational environment.


The Scope:

The Data Engineer will make data accessible to internal and external FSC stakeholders in a way that encourages and embeds data use in all - big and small, everyday - actions and decisions.


Main Roles and Responsibilities:

  • To maintain and enhance the quality and usage of data in FSC by:
    • Establishing processes for ETL for data from various structured and unstructured data sources into a data store that is suitable for business analytics and decision making.
    • Designing stable, reliable and effective databases.
    • Optimizing and maintaining legacy systems (such as Salesforce, MySQL).
    • Modifying and testing databases according to needs and requests.
    • Solving database usage issues and malfunctions.
    • Liaising with developers to improve applications and establish best practices.
    • Gathering user requirements and identifying new features and enhancements.
    • Supporting development of technical documentation and end-user training resources.
    • Research, recommend and implement new database products, services and protocols to meet data and information needs for various FSC user groups/stakeholders.
  • To establish and manage processes and structures ensuring high quality of data, data standardization, and consistency across various platforms and reports, including but not limited to:
    • Review of FSC information and data sources with a view to understand, re-design, re-model and re-deploy the database structure where necessary to adapt best practices in data management.
    • Data standardization across FSC business units.
    • Practical and user-friendly workflows and protocols that facilitate information capture, design, collection, quality, storage, and reporting on data consistently across FSC departments.
    • Compliance of data assets and data processing with relevant legislation.
    • Coordination and facilitation of the rigorous clean-up and information integrity processes while delivering data products.
    • Development, modernization and improvement of information schemas and their maintenance.
    • Compatibility of FSC Information Models with the ISEAL Core Metadata Standard.


  • To manage projects related to data gathering, standardization, and management, including but not limited to:
    • Online reporting for FSC evaluations (forest management and chain of custody).
    • Enhance the certificate management processes.
    • To ensure the data stores perform with high efficiency, reliability, and the single source of truth.
  • To establish, implement and manage consistent processes for data sharing with internal and external stakeholders, in cooperation with Legal Department.
  • Additional Tasks as assigned by the formal supervisor.



Qualification, Experience and Skills:

  • Education and Training:
    • A bachelor’s degree in engineering, computer science, data science or any other relevant and related field is a must.
    • A Certification in data management is desired.
  • Working Experience, Style and Skills:
    • More than 4 years’ relevant experience in data modelling, creating data pipelines, data integration, data warehousing and Business intelligence.
    • Proven work experience in database design and development.
    • In-depth understanding of data management concepts and practices (e.g. metadata, permissions, recovery, security, privacy, quality, and monitoring) and data integration (ETL/ELT) procedures.
    • Functional knowledge of software development and user interface web applications
    • Experience in manipulating data sets and building analytical models to derive high quality business intelligence insights.
    • Experience in managing data projects and modernizing organizational data assets and data infrastructure.
    • Strong problem-solving skills and a strong focus on end-user experience.
    • Knowledge of GDPR and its impact on organizational information and data management practices.
    • Excellent estimation and management of delivery timelines.
    • Ability to perform well while handling competing priorities and requests.
    • Solution oriented attitude to work.
    • A strong sense of diligence and service.
    • Strong analytical skills and attention to detail.
  • Languages:
    • Fluency in English (spoken and written).
    • Spanish and/or French is a plus.
  • Computing Skills: Good knowledge of and hands-on expertise with:
    • Data and web service integration
    • Computer programming languages (preferably Python, SQL, etc.) and manipulating large data sets.
    • On-premise and cloud-based solutions (preferably Azure and AWS)
    • PowerBI, Tableau or other advanced information and data analytics tools.
    • Either Spark, Hadoop, Postgres, Cassandra, or similar platforms.
    • Microsoft Office 365 products.
  • Communication Skills:
    • Proven excellent presentation skills.
    • Proven excellent teamwork and collaboration skills, fostering deep stakeholder engagement.
    • Proven excellent verbal and written communication skills.
    • Ability to establish and maintain positive interpersonal relations.
    • Ability to communicate complex technical tech concepts to business users.
  • Additional valuable skills:
    • Knowledge of certification systems such as in forestry and environmental sciences.
    • Statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
    • Working knowledge of the ISEAL Core Metadata Set / Standard.
    • Open Knowledge and Interoperability repositories, e.g., Dspace, Fedora.
    • MS Dynamics.
    • Salesforce.


Terms and Conditions:

  • Location: Bonn, Germany
  • Working Hours: Full time - 40 hours per week
  • Duration of Employment: Temporary contract - 2 years (extension possible).
  • Starting Date: 01 JANUARY 2023


How to Apply:

Please apply by sending an email to, with your CV in the attachment. 

Please do not send any photos of yourself.

The deadline for applications is 08 December 2022.

Due to high number of applications received, only candidates shortlisted for an interview will be further contacted and will receive notice of the outcome of the selection process. 

For FSC, inclusiveness and diversity are important values. As such, we welcome and encourage applications from all backgrounds and are entirely committed to consider all qualified applicants regardless of race, gender, sexual orientation, religion, ethnicity, age and disability.  

Please be informed, that by applying for this position you automatically accept our Data Protection Information on processing your personal data.

We are looking forward to your application!