Hybrid Data Pipeline Engineer Data Pipeline Engineer

Location: Berlin, Germany

Job Purpose and Background

Are you passionate about securing the planet's future by preventing catastrophic climate change? Do you want to apply your considerable creativity, energy, and digital expertise at the cutting edge of corporate climate action in one of the world’s fastest-growing sustainability initiatives?

The Science Based Targets initiative (SBTi) has an exciting opportunity for a Data Engineer. Joining the growing digital function within SBTi’s global operations team, you will collaborate closely with other teams to ensure that the SBTi technology infrastructure is well supported and service excellence is at the core of the organization.

About you

You have strong conceptualization skills and enjoy building efficient, scalable, and robust data systems. You are highly structured and approach work in a strategic way to build and link products comprehensively. You are comfortable working with external consultants and specialists and seek to find effective ways to partner to ensure your work is fully realized. You have a deep satisfaction with what you create and are motivated by delivering the right solution to meet the needs of the business. English is the working language at SBTi and the ability to communicate at a business fluent level is needed.

About the Science-Based Targets initiative

The Science Based Targets Initiative (SBTi) is a global body enabling businesses and financial institutions to set ambitious emissions reduction targets in line with the latest climate science. It is focused on accelerating companies worldwide to halve emissions before 2030 and achieve net-zero emissions before 2050.

The initiative is a collaboration between CDP, the United Nations Global Compact, the World Resources Institute (WRI) the World Wide Fund for Nature (WWF), and one of the We Mean Business Coalition commitments. The SBTi defines and promotes best practices in science-based target setting, offers resources and guidance to reduce barriers to adoption, and independently assesses and approves organizations’ targets. www.sciencebasedtargets.org @sciencetargets.

Key Responsibilities

• Own data architecture and work with the Data & Technology and Target Operations team to develop best-in-class data management structures;
• Build and maintain integrations between enterprise systems (CRM, ERP, custom-built applications) and support collaboration between organizational dataflows;
• Seek ways to optimize and automate current processes where data flows are present;
• With the support of the Data & Technology team, develop data governance and best practices for the use of data to ensure teams are aware of and compliant with data security policies and follow best practices for maintaining high-quality data;
• Work within project teams as a data expert and contribute to project success by ensuring data is being handled and used in the best way possible;

Essential skills and experience

• Experience with modern data architecture, and can build API connections using tools such as Python, SQL, JS, and equivalent;
• Experience building relational databases using web services in cloud environments such as Google, AWS, and equivalent;
• Experience drafting highly readable data models and diagrams and writing documentation that non-technical people can easily understand;
• Experience working with data integrations with large enterprise systems such as ERPs or CRMs;
• Ability to work remotely and flexibly in a global environment with limited direct supervision;

What we offer

• Competitive NGO salary;
• Working in one of the most successful and fastest-growing initiatives driving climate action;
• Exciting and challenging tasks in a dynamic, international, innovative, and motivated team;
• Training and development;
• Attractive holiday package;

The SBTi is an equal opportunity employer - committed to building an inclusive workplace and diverse staff, where all can thrive. We welcome and strongly encourage applications from candidates of all identities and backgrounds. We do not discriminate based on race, color, religion, gender or gender identity, sexual orientation, national origin, disability, or age.