368 English-speaking jobs in Berlin

Teach fundamental computer science algorithms in Berlin. Design courses, conduct practical sessions, and support dual students. Requires a Computer Science degree and relevant work experience. English language skills at C1 level are needed.

As a Workday Data Lead, you will guide clients on Workday data migration, leveraging your expertise to ensure successful implementation. You will lead workshops, manage teams, and collaborate with clients and Accenture colleagues to deliver robust solutions.

The European Training Foundation (ETF) seeks Labour Market and Employment Analysis experts for project-based assignments across Europe. Applicants must have a Master's degree or higher and relevant professional experience.

Senior Electrical Engineer needed for a 6-month (potential extension) freelance contract with a German technology company. Design, review, and support PCB layouts and electronic circuits. Hands-on experience with electrical systems, automation, and testing required. Onsite presence in Berlin is essential.

Do Well Do Good seeks Founding Partners to launch and grow their own consulting offices. Partners will build client pipelines, deliver projects, and achieve €500K revenue in Year 1. Ideal candidates have 4+ years in strategy consulting or sales/entrepreneurship with expertise in energy, mobility, circular economy, construction, or decarbonization.

Develop data-driven, AI-enhanced web applications using SvelteKit, TypeScript, Python, or Go. Design scalable web applications, backend services, and database schemas. Collaborate in an agile team to improve processes and build user-friendly solutions.

Senior Software Developer will build and ship end-to-end features, own product parts, and improve system performance. Requires experience building production-ready web applications, strong TypeScript, React, and Node.js skills, and the ability to own features from idea to production.

Gain practical experience in technology, data, and innovation at Deutsche Bank's Berlin Technology Centre. Interns will work on agile projects, learn programming languages, and design innovative solutions.

Lead R&D projects for optical sub-assemblies, including planning, scheduling, budgeting, and risk management. Coordinate cross-functional teams and define technical requirements. Ensure robust, manufacturable solutions in line with quality standards.

Lead a strategic product area within Visable's B2B marketplace ecosystem. Define product vision, strategy, and roadmap, leveraging data and customer insights to drive measurable outcomes. Collaborate with cross-functional teams across Europe and China.

Project Manager will own end-to-end delivery of medium to large transformation projects, ensuring alignment with business strategy and measurable benefits realization. Responsibilities include business implementation and handover, governance and reporting, planning and financial control, risk and issue management, and supplier and partner management.

Senior Site Reliability Engineer will design, implement, and maintain cloud-based infrastructure for database solutions. Responsibilities include providing technical leadership, collaborating with product teams, mentoring team members, and driving incident management.

Senior Cloud Security Engineer needed to develop and implement cloud data security strategy. Responsibilities include deploying DLP/DSPM solutions, implementing data classification schemes, designing and maintaining cloud-native security solutions, and performing threat modeling sessions.

Senior Data Scientist will build production-ready machine learning applications for financial crime prevention and credit risk assessment. Responsibilities include data exploration, applying machine learning techniques, and collaborating with engineers and product managers.

Senior Data Analyst to lead, mentor, and coach other analysts in the Grow & Engage domain. Develop clear and measurable targets based on initiatives' scope. Drive end-to-end high complexity analysis on a strategic level. Support Product experimentation & testing initiatives; design test plans, execute robust analysis, and deliver actionable insights. Help build the right analytics foundations so product and business teams can interact with data and extract insights. Contribute to a data-driven culture through team training and workshops. 4+ years of relevant experience, ideally within the Product or Analytics field. Advanced causal inference & incremental impact measurement. Proven ability to design, execute, and evaluate experiments (A/B, multivariate) as well as observational analyses. Highly proficient in SQL and Python/R for data analysis, experimentation analysis, and modeling. Experience with modern BI tools (Tableau, Metabase, Looker, Superset, etc.) and strong capability to communicate insights clearly to senior stakeholders. Confident communicator with the ability to challenge assumptions, align cross-functional teams, and drive data-informed decisions.

Senior Motion Graphics Designer will develop and deliver world-class creative executions globally. Responsibilities include translating design concepts into 2D and 3D motion work, producing sophisticated motion graphic sequences, and developing and integrating 3D assets. Requires a 4-year degree in a related field, 6+ years of experience, and proficiency in Adobe Creative Suite, Figma, and 3D software. Fluency in English is required.

Manages the Configuration Management Database (CMDB), ensuring data accuracy and compliance with regulations like DORA. Defines and implements CI lifecycle processes, classifications, and relationships. Collaborates with ITSM teams and stakeholders to ensure CMDB effectiveness and support operational resilience.

The Manager of Financial Control and Reconciliation ensures data integrity across the N26 Group. This role designs and oversees reconciliation frameworks between the Core Banking System, ERP, and external reporting tools, leading the transition to automated controls.

Steering & Planning Manager to drive operational excellence and scalability. Collaborate with Product, Tech, and Operations teams to analyze processes, implement improvements, and manage projects. Lead continuous improvement and automation initiatives to streamline workflows and reduce costs.

Design, implement, and maintain cloud-based infrastructure solutions that enhance the reliability, security, and scalability of the AI Platform. Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborate with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency.