What we offer Passion, a sense of responsibility, mutual appreciation, and respect as corner stones of our corporate culture An exciting job with the premier manufacturer of recycled plastic pallets and large containers Dedication and joy in our day-to-day work Responsibility and space for creative ideas Secure long-term employment Individual, international development opportunities with interesting career prospects Attractive compensation package Modern technical equipment We embrace Diversity and Inclusion and are committed to providing equal opportunities to all of our applicants as well as our employees – regardless of race, gender, age, religion and beliefs, sexual orientation and gender identity, disability, cultural, ethnic or national origins.
Bihl+Wiedemann GmbH sucht in Berlin eine/n Technical Sales Manager (m/w/d) - Großraum Berlin (ID-Nummer: 13697078)
To meet the ambitious growth targets of the specialized nutrition business in EMEAI, ADM WILD is seeking for an experienced “Technical Business Manager (gn)” who will take a crucial role in leading and driving technical business activities. Positionsbeschreibung With your passion for (Sport) Nutrition and your commercial mindset you develop, execute and implement all specialized nutrition projects in the EMEAI region You lead and support the development of powder blends in the EMEAI region, working closely with other units and other cross-category teams As technical customer contact and proactive technical business driver you provide guidance, support and technical management of all accounts and projects for this category You build-up, lead, coach, and train a team of scientists and technicians.
Who you are 5+ years of professional experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE), with a significant focus on cloud infrastructure Fluency in scripting languages (e.g., Python, Go, Bash) for system automation, tooling development, and operational tasks Deep expertise in managing and scaling production workloads within a major public cloud provider (e.g., AWS, Azure, or GCP), including strong familiarity with core services like Compute, Networking, Identity & Access Management (IAM), and Managed Database Proven mastery of Infrastructure-as-Code (IaC) using AWS CloudFormation and/or Terraform in complex, multi-account environments Demonstrated experience designing, implementing, and maintaining robust CI/CD pipelines Solid knowledge of monitoring and logging solutions Excellent communication and documentation skills, with the ability to articulate complex technical issues to technical stakeholders Benefits Hybrid working Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
What you will do You can take a business problem, translate it into a technical problem, and work with the team to ensure it is properly designed, planned, and delivered. Help envision and work hand-in-hand with other colleagues to develop a scalable software architecture for our API written in PHP.
You have good communication and presentation skills, you can explain technical terms in non-technical language Fluent English skills (spoken & written) Nice to have: Certificates: Trainings from SANS / GIAC, OffSec OSIR, HackTheBox / TryHackMe incident response challenges Knowledge of Laravel / PHP.
Strong communicator: You can communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g. Product, Design). Team player: You actively share knowledge, inspire other team members, and aim to fulfill team goals.
What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least seven years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Benefits Hybrid working Täglich frisches Obst Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Flexible Arbeitszeiten Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
As a fashion and technology company, we work together towards our goal of making the shopping experience more inspiring and personal for our customers. We are currently looking for a skilled & passionate Technical Business Analyst (m/f/d) to join our Commerce Finance Tech Circle Cluster at ABOUT YOU! Our ABOUT YOU Commerce Finance Tech Circle Cluster is responsible for connecting to the ABOUT YOU Commerce ERP solution to ensure the regulatory compliance of our commerce business.
Strong Communicator: Ability to communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g., Product, Design). Team Player: Actively shares knowledge, mentors other team members, and is focused on achieving collective team goals.
JavaScript Python redis PostgreSQL What you will do Design and deploy innovative features for the Seller Center to enhance the online retail experience Collaborate with product managers, UI/UX designers, and fellow engineers to brainstorm and create effective solutions Utilize the SCAYLE platform to manage product and order information efficiently Enhance application performance through strategic SQL Query optimizations Engage in code reviews to uphold high standards of code quality and foster ongoing improvement Offer technical support, and troubleshooting issues to ensure consistent service for users Explore AI-supported features to streamline workflow processes Who you are Minimum of 5 years experience as a Fullstack Engineer Experience with Django 5.
TypeScript) Solid know how in working with SQL or No-SQL databases You write well-structured, efficient and maintainable code and actively keep the quality of the code base in check You have excellent analytical and problem-solving skills You are used to working in an English-speaking and agile environment You raise the bar of the software you work on You enjoy investigating the ‘why’ behind specific search outcomes and translating those findings into actionable technical enhancements Nice to have Experience with Elasticsearch or OpenSearch Experience building Data Models using dbt Experience in working with a MPP data warehouse (e.g.
TypeScript) Solid know how in working with SQL or No-SQL databases You write well-structured, efficient and maintainable code and actively keep the quality of the code base in check You have excellent analytical and problem-solving skills You are used to working in an English-speaking and agile environment You raise the bar of the software you work on You enjoy investigating the ‘why’ behind specific search outcomes and translating those findings into actionable technical enhancements Nice to have Experience with Elasticsearch or OpenSearch Experience building Data Models using dbt Experience in working with a MPP data warehouse (e.g.
What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least two years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis.
Strong communicator: You can communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g. Product, Design). Team player: You actively share knowledge, inspire other team members, and aim to fulfill team goals.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g.
You ensure that customers see the most relevant products in the right order – balancing customer needs, business goals, and technical feasibility. We work with over 1 million real-time API calls per hour and a huge amount of data to deliver highly performant and intelligent sorting mechanisms to millions of users.
Monitor Regulatory Landscape and Business Impact Continuously monitor and assess legislative and regulatory developments and evaluate their impact and opportunities for CHEPLAPHARM. Lead, Develop and Empower the Team Provide strong technical leadership, foster professional development and ensure continuous growth and engagement of your team. Manage External Service Providers Effectively manage external service providers acting on behalf of CHEPLAPHARM, ensuring quality, compliance and performance.
Mentor and coach Frontend Developers, QA Engineers, helping them grow their technical skills, understand system architecture, and advance their careers. Act as the key technical partner to the Teamlead Product to align engineering effort with business goals, product vision, and user experience requirements to share a joint vision between product and tech.
Mentor and coach Frontend Developers, QA Engineers, helping them grow their technical skills, understand system architecture, and advance their careers. Act as the key technical partner to the Teamlead Product to align engineering effort with business goals, product vision, and user experience requirements to share a joint vision between product and tech.
Ensure quality through unit testing, code reviews, and close collaboration with your team. What You Bring A degree in Computer Science or a comparable technical field. Solid experience in frontend development – especially with TypeScript and Vue.js. Ideally, familiarity with Docker, Kubernetes, Linux/Windows, and GitLab.