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- Aufgaben: Design and build OpenSC’s data platform, develop data pipelines, and support data security.
- Arbeitgeber: Join OpenSC, co-founded by WWF and The Boston Consulting Group, driving transparency in food systems.
- Mitarbeitervorteile: Work on impactful projects with a focus on sustainability and ethical production.
- Warum dieser Job: Be part of a mission to tackle the climate crisis while enhancing your data engineering skills.
- Gewünschte Qualifikationen: 4+ years of experience, strong Python and SQL skills, and familiarity with cloud services.
- Andere Informationen: Collaborate with a diverse team and contribute to meaningful change in global supply chains.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Transforming global food systems is key to tackling the climate crisis and protecting people and the planet. We believe a new and different type of transparency is needed to drive that change.
That is why we built OpenSC – co-founded by WWF and The Boston Consulting Group
Our platform uses data directly from the source of our customer’s supply chains and analyses it to create direct actionable insights about sustainable & ethical production.
Automated – Continuous – Granular – Immutable
This new type of transparency enables our customers to know, influence, and prove the sustainability of their supply chains.
Tasks
- Further design and build OpenSC’s data platform across all data domains: collection, storage, transformation and analyses
- Develop high-quality data pipelines that transform structured, semi-structured, and unstructured data from various sources into a standardized data model
- Expand OpenSC’s data model to accommodate a growing number of use cases
- Assume responsibility for the business interpretation of data and actively contribute to data science and analytics projects
- Adhere to software engineering best practices regarding version control, testing, code reviews, deployment etc.
- Provide support and guidance on data security and cloud infrastructure topics, ensuring a secure and efficient handling of data
- Communicate effectively with technical and non-technical stakeholders
- Contribute elevating the team through knowledge sharing on data engineering best practices
Requirements
- 4+ years of relevant industry experience building production-level data products
- Proven solid foundation of core data concepts (e.g. integration, modeling, security, lineage, governance etc.)
- Excellent Python skills and advanced competencies with main data ecosystem libraries
- Advanced knowledge of SQL and relational databases (e.g. PostgreSQL, dbt)
- Knowledge of Cypher and graph databases (e.g. Neo4j, Kuzu, etc.)
- Experience with data pipeline orchestration tools (e.g. Dagster, Airflow, etc.)
- Experience working with cloud infrastructure and services (ideally on AWS)
- Experience working with different data modeling patterns and ability to abstract complex real-life information into a standardized data model description
- Demonstrated familiarity with Version control (Git), Containerization (Docker, Kubernetes), CI/CD (e.g. CircleCi, Github Actions), IaC (Terraform)
- Strong interpersonal skills and ability to work in a multidisciplinary and multicultural team
#J-18808-Ljbffr
Data Engineer Arbeitgeber: OpenSC
Kontaktperson:
OpenSC HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer
✨Tip Number 1
Familiarize yourself with the specific data tools and technologies mentioned in the job description, such as PostgreSQL, Neo4j, and AWS. Having hands-on experience or projects showcasing these skills can set you apart during the interview process.
✨Tip Number 2
Highlight your experience with data pipeline orchestration tools like Dagster or Airflow. Be prepared to discuss specific projects where you implemented these tools to solve real-world problems, demonstrating your practical knowledge.
✨Tip Number 3
Showcase your ability to communicate complex data concepts to both technical and non-technical stakeholders. Prepare examples of how you've successfully bridged the gap between different teams in past roles.
✨Tip Number 4
Engage with the community around data engineering best practices. Join forums, attend webinars, or participate in local meetups to network with professionals in the field. This can provide valuable insights and connections that may help you during the application process.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position. Understand the key responsibilities and required skills, especially around data pipelines, cloud infrastructure, and programming languages like Python and SQL.
Tailor Your CV: Customize your CV to highlight relevant experience that aligns with the job requirements. Focus on your experience with data modeling, pipeline orchestration tools, and any projects that demonstrate your ability to work with cloud services.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your passion for sustainability and ethical production. Mention how your background can contribute to OpenSC's mission of transforming food systems.
Highlight Soft Skills: In your application, emphasize your interpersonal skills and ability to communicate effectively with both technical and non-technical stakeholders. This is crucial for a role that involves collaboration in a multidisciplinary team.
Wie du dich auf ein Vorstellungsgespräch bei OpenSC vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and data pipeline orchestration tools. Highlight specific projects where you've built data products or transformed data, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Since the role involves business interpretation of data, familiarize yourself with how data impacts decision-making in supply chains. Be ready to discuss how your work can contribute to sustainability and ethical production.
✨Communicate Clearly
You’ll need to interact with both technical and non-technical stakeholders. Practice explaining complex data concepts in simple terms, ensuring that everyone understands your insights and recommendations.
✨Emphasize Collaboration
This position requires working in a multidisciplinary and multicultural team. Share examples of how you've successfully collaborated with diverse teams in the past, showcasing your interpersonal skills and adaptability.
