Project details
Recommended projects
New
Senior Data Architect (m/f/d)
We are currently looking for a senior data architect (m/f/d) with experience in international industrial data platform and cloud projects for one of our top customers.
Objectives
- Achieve high customer satisfaction through reliable delivery, clear communication, and measurable outcomes.
- Serve as the link among business, product, engineering, security, compliance, legal, and operations; facilitate informed trade-offs.
- Establish and evolve long-term architecture with a balance of security, privacy, performance, cost, resilience, and interoperability.
- Enable data-driven decision-making by optimizing data systems for structure, integration, and compliance. Responsibilities
- Design and implement data models for efficient storage, retrieval, and analysis at enterprise and application levels.
- Organize data at macro level (domains, canonical models, sharing policies) and micro level (logical/physical models); provide golden-source logical models and business rules for data quality.
- Identify and document requirements decisive for long-term architecture; develop and document technology, structure, and implementation decisions based on best practices.
- Verify day-to-day compliance with architectural decisions; establish quality assurance measures (design reviews, automated checks, guardrails).
- Monitor data quality and integrity; ensure compliance with GDPR and security standards; explain decisions and strategies; coach teams.
Key tasks and activities
- Architecture design and stewardship: own end-to-end architecture considering scalability, performance, reliability, and cost; shape and steer the data landscape beyond implementation.
- Data modeling: create conceptual, logical, and physical models; apply Data Vault 2.0, dimensional modeling (Kimball star schemas), and 3NF as appropriate.
- Technology selection: evaluate and select data technologies, ETL/ELT tools, and cloud services within the existing IT landscape; develop concepts and technology proposals.
- Governance and quality: define standards for data quality, metadata, lineage, and access; embed guardrails in data pipelines; ensure GDPR compliance.
- Stakeholder management: act as the technical link between data engineers, data scientists, and business stakeholders; evaluate and communicate architectures and trade-offs.
- Documentation: produce durable architecture documentation, including data flow diagrams, interface descriptions, domain maps, and decision logs.
New
Data Engineer (m/f/d)
A company is looking for an experienced Data Engineer to carry out a migration from Snowflake to ClickHouse. The focus is on using Apache Spark for data processing and on managing and optimizing Kubernetes environments. The goal is to build and operate a powerful and scalable data platform.
- Executing the migration from Snowflake to ClickHouse
- Developing and optimizing data pipelines with Apache Spark
- Managing and optimizing Kubernetes clusters
- Ensuring the performance and scalability of the data platform
- Implementing solutions in Python
- Optional: Working with Snowplow for data analytics
Fullstack Data Platform Developer & Architect (m/f/d)
We are the agentic data management platform for production and logistics, where AI Agents powered by a domain specific semantic layer clean, prepare and format data, so that ad-hoc business requests that usually take weeks are answered in seconds, enabling fast data-driven decision making.
To further shape and scale this product, we are looking for a (senior) freelance Data & Semantic Layer Architect with a strong focus on conceptual and architectural work (not hands-on implementation in this first phase), who will:
- design the overall product and solution architecture (semantic layer, data platform, knowledge base, multi-agent workflows, APIs)
- define a feature list and solution roadmap for the first product versions
- specify an MVP / prototype for the validation phase (scope, tech stack, integrations, risks)
- create a high-level effort estimate and team setup (roles, skills, build-vs-buy)
- design the core semantic layer (domains, KPIs, metrics logic, data catalog, business rules).
AI Consultant for Vibe Coding (m/w/d)
An AI Lab is looking for a AI Trainer for Vibe Coding. This role involves producing accurate, well-reasoned outputs across diverse domains, leveraging automation and AI tools. The position requires expertise in coding and optimizing Python scripts, handling large datasets, improving AI-generated content, and formatting and troubleshooting technical workflows.
This is a remote part-time role that can be flexibly tailored to your availability – from just a few hours per week to full-time.
Key responsibilities:
- Conduct advanced web research and data mining using multiple tools to locate and extract information from official sources. Use LLMs and advanced prompts to refine search strategies and validate data accuracy by cross-referencing authoritative sources.
- Perform web scraping and data extraction by navigating complex website structures and multi-level pages (regions → companies → detailed pages). Handle dynamic content, archived pages, and various HTML formats, and organize extracted data into clean, well-formatted CSV files.
- Write and optimize Python scripts for data processing and analysis using libraries such as pandas, BeautifulSoup, Selenium, and matplotlib. Transform raw data into structured formats (CSV, JSON, tables) and create visualizations when required.
- Carry out data processing and quality assurance by cleaning, validating, and structuring datasets. - - Ensure data integrity across multiple sources, apply formatting specifications, and run verification steps to maintain high output quality.
- Apply strong problem-solving and task execution skills to break down complex workflows, troubleshoot technical issues independently, and adapt quickly between different domains and task types with minimal supervision.
- Produce clear documentation and high-quality outputs that follow exact requirements for file formats, naming conventions, and data structure. Maintain reproducible workflows and well-organized code.
Fullstack Engineer (m/f/d)
- Product and web development in a data-driven environment
- Contribute to software architecture for new data products
- Collaboration in interdisciplinary teams (including data scientists and business developers)
Freelance Electrical Engineer with Python Experience (m/w/d)
Generative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills.
Although every project is unique, you might typically:
- Content Creation & Refinement: Create and refine content to ensure accuracy and relevance across a variety of topics in Physics, while also developing references and examples of tasks.
- Experts Acquisition: Assess the qualification tests of experts, ensuring their competency.
- Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines.
- Auditing Work: Review and evaluate tasks completed by other experts, ensuring they align with project guidelines. Provide constructive feedback, verify expertise-related information, and edit content as necessary to improve quality.
New
MCP & Tools Python Developer (m/w/d)
We’re on the hunt for hands-on Python engineers for a new project focused on developing Model Context Protocol (MCP) servers and internal tools for running and evaluating agent behavior. You’ll implement base methods for agent action verification, integrate with internal and client infrastructures, and help fill tooling gaps across the team.
What you’ll be doing:
- Developing and maintaining MCP-compatible evaluation servers
- Implementing logic to check agent actions against scenario definitions
- Creating or extending tools that writers and QAs use to test agents
- Working closely with infrastructure engineers to ensure compatibility
- Occasionally helping with test writing or debug sessions when needed
Although we’re only looking for experts for this current project, contributors with consistent high-quality submissions may receive an invitation for ongoing collaboration across future projects.
Adobe Experience Cloud Consultant (m/f/d)
The Digital Analytics department uses Adobe Experience Cloud to deliver personalized user experiences. The goal is to increase conversion rates and improve the customer experience through targeted personalization and testing. The technical implementation is handled independently by specialized consultants.
- A key part of the role is maintaining the existing implementation within the Adobe Experience Platform. This includes monitoring data and troubleshooting source connectors.
- As part of preparing new features for use in the Adobe Experience Platform, requirements and data are first translated into Adobe's Experience Data Model. This involves creating Entity-Relationship Diagrams (ERDs) and adding context to relevant data.
- Based on this, the necessary schemas are set up in the platform and data sets are prepared for further use.
- Other tasks include designing and setting up new activation channels as well as additional data sources.
- In addition, new business-relevant use cases are developed across different phases of the customer journey to drive business value.
- Creating segments and performing error analysis using targeted SQL queries.
- Advising on all newly introduced processing activities, ensuring compliance with applicable data protection regulations, managing internal approval processes, and documenting legal and technical specifics.
AI Consultants - Data Science (m/w/d)
We are seeking experienced data scientists to create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis and actionable business insights.
What You'll Do
- Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare) Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
- Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
- Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility
- Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency
- Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)
- Incorporate big data processing scenarios requiring scalable computational approaches
- Verify solutions using Python with standard data science libraries and statistical methods
- Document problem statements clearly with realistic business contexts and provide verified correct answers
CRM Manager (m/w/d)
To strengthen data-driven cross & upsell as well as retention campaigns, Customer Interaction runs a platform where campaign processes including a profiler are developed, orchestrated and monitored. For this, support is needed in the following areas:
Analysis & Consulting
- Business and technical analysis of existing campaign processes
- Consulting on data flows, selections and profiling strategies
PL/SQL Development
- Implementation and optimization of data selection, transformation and aggregation flows in Oracle PL/SQL
- Mapping of specified business logic for customer segmentation
Testing & Quality Assurance
- Planning and execution of unit, integration and regression tests
- Documentation of test cases and results
Operations & Monitoring
- Monitoring of running jobs and workflows (performance, error handling)
- Tuning of SQL queries and batch processes
Communication Outputs
- Integration and provisioning of delivery channels email, SMS, outbound call and mail
- Implementation of data-driven personalization and targeting
Chemist with Python Experience (m/w/d)
GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Chemistry, you’ll have the opportunity to collaborate on these projects.
Although every project is unique, you might typically:
- Generate prompts that challenge AI.
- Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers.
- Correct the model’s responses based on your domain-specific knowledge.
AI Consultant - Machine Learning (m/w/d)
For an AI lab we are looking for Machine learning experts to train an AI model (Large Language Model - LLM). GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically:
- Design original computational STEM problems that simulate real scientific workflows
- Create problems that require Python programming to solve
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
- Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
- Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn)
- Document problem statements clearly and provide verified correct answers
Freelance Mechanical Engineer with Python Experience (m/f/d)
For an AI lab we are looking for Mechanical Engineer with python experience to train an AI model (Large Language Model - LLM).
GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills.
If you join you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically:
- Content Creation & Refinement: Create and refine content to ensure accuracy and relevance across a variety of topics in Mechanical Engineering, while also developing references and examples of tasks.
- Experts Acquisition: Assess the qualification tests of experts, ensuring their competency.
- Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines.
- Auditing Work: Review and evaluate tasks completed by other experts, ensuring they align with project guidelines. Provide constructive feedback, verify expertise-related information, and edit content as necessary to improve quality.
AI Evaluation Consultant (m/w/d)
We are seeking an analytical and technically-minded professional to:
- Evaluate AI outputs and processes
- Ensure quality, accuracy, and reliability
- Identify logical errors, risks, and structural inconsistencies
- Provide actionable insights and recommendations to the team
Ideal candidates:
- Consultants, auditors, analysts, data researchers, or business/technical analysts with strong reasoning skills
- Professionals curious about AI, process improvement, and quality evaluation
- Problem-solvers who enjoy analyzing complex systems, logic, and scenarios
Key Responsibilities:
- Lead evaluation of AI outputs and related processes
- Review tasks against expected/ideal scenarios; identify gaps and risks
- Provide structured, actionable recommendations to engineers, domain experts, and managers
- Maintain and improve evaluation guidelines, checklists, SOPs
- Suggest new approaches, tools, and processes to enhance AI evaluation
Physicist with Python Experience (m/w/d)
For an AI lab we are looking for phycists with python experience to train an AI model (Large Language Model - LLM).
GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a phycist, you’ll have the opportunity to collaborate on these projects.
Although every project is unique, you might typically:
- Design original computational physic problems that simulate real research workflows.
- Create problems requiring Python programming to solve (using numpy, scipy, sympy).
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).
- Develop problems requiring non-trivial reasoning chains.
- Base problems on real research challenges or practical applications from physical practice.
- Verify solutions using Python with standard libraries.
- Document problem statements clearly and provide verified correct answers.
Freelance Civil Engineer with Python Experience (m/f/d)
A company is looking for a freelance Civil engineering experts to evaluate AI models. The goal of the project is to assess the performance, accuracy, and reliability of AI models applied in civil engineering contexts. The role involves working closely with the development team to ensure the models meet industry standards and provide actionable insights.
Key responsibilities:
- Evaluate AI models for civil engineering applications.
- Analyze model outputs and provide feedback for improvement.
- Collaborate with the development team to ensure alignment with industry standards.
- Document findings and recommendations for model optimization.
- Conduct tests to validate model performance and reliability.
Biologist with Python Experience (m/w/d)
GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Biology, you’ll have the opportunity to collaborate on these projects.
Although every project is unique, you might typically:
- Generate prompts that challenge AI.
- Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers.
- Correct the model’s responses based on your domain-specific knowledge.
Freelance Statistics Expert with Python Experience (m/f/d)
For an AI lab we are looking for Statistics Expert with python experience to train an AI model (Large Language Model - LLM).
GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills.
If you join you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically:
- Generate prompts that challenge AI.
- Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers.
- Correct the model’s responses based on your domain-specific knowledge.
Freelance Cybersecurity Consultant for AI Red Teaming
For an AI lab we are looking for cybersecurity consultants to train an AI model (Large Language Model - LLM).
You help AI to make sense of the world. As consultant, you may be invited to take part in online projects to train the model in your domain of expertise.
This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities
- Evaluate and red team AI models and agents and machine learning systems for vulnerabilities and safety risks.
- Create offline reproducible & auto-evaluable test cases to test safety & capability of AI agents.
- Develop and implement automation scripts, custom tools, environments and test harnesses.
- Lead or contribute to security research initiatives, especially in AI safety, creating and implementing realistic and challenging attack scenarios for the model.
- Advise on cybersecurity best practices and policy implications.
Mathematician with Python Experience (m/w/d)
For an AI lab we are looking for mathematicians with python experience to train an AI model (Large Language Model - LLM).
As consultant, you may be invited to take part in online projects to train the model in your domain of expertise.
This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities.
Although every project is unique, you might typically:
- Design original computational mathematics problems that simulate real mathematical research workflows.
- Create problems requiring Python programming to solve (using numpy, scipy, sympy).
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).
- Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis.
- Base problems on real research challenges or practical applications from mathematical practice.
- Verify solutions using Python with standard mathematical libraries.
- Document problem statements clearly and provide verified correct answers.
Support in:
- Number Theory: Prime factorization, Diophantine equations, modular arithmetic, cryptographic computations.
- Combinatorics: Enumerations, partitions, generating functions, combinatorial optimization.
- Graph Theory: Network analysis, path finding, graph coloring, spanning trees.
- Numerical Analysis: Root finding, numerical integration, differential equations, matrix computations.
- Discrete Mathematics: Recurrence relations, algorithmic complexity, discrete optimization.
- Algebra: Polynomial computations, group theory calculations, matrix decompositions.
Senior Web Developer (m/f/d)
- You develop modern, high-performance web frontends with React, TypeScript, HTML, and CSS
- You implement responsive designs with a focus on accessibility and performance
- You plan and execute unit and integration tests (for example with Playwright)
- Troubleshooting in development, testing, or live environments
IT Project Manager ServiceNow (Senior)
- A company in the energy and energy services sector is looking for an experienced IT project manager for a ServiceNow project.
- The goal of the project is to lead and successfully implement an enterprise ServiceNow project focusing on ITSM and Customer Service Management (CSM).
- The role includes planning, controlling, and ensuring a stable project flow in close collaboration with internal and external stakeholders.
- Operational & strategic service management of the ServiceNow platform
- Process ownership for ITSM and CSM (B2B & B2C)
- Process design, governance & continuous optimization
- Managing external providers and vendors
- Monitoring, KPI analysis & deriving improvements
- Ensuring stable platform operations
Freelance Automotive Engineer (with Python) - Quality Assurance / AI Trainer
Generative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills.
Although every project is unique, you might typically:
- Content Creation & Refinement: Create and refine content to ensure accuracy and relevance across a variety of topics in Physics, while also developing references and examples of tasks.
- Experts Acquisition: Assess the qualification tests of experts, ensuring their competency.
- Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines.
- Auditing Work: Review and evaluate tasks completed by other experts, ensuring they align with project guidelines. Provide constructive feedback, verify expertise-related information, and edit content as necessary to improve quality.
New
AI Agent Evaluation Analyst (m/w/d)
We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll have to balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.
You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you’ve ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit.
What you’ll be doing:
- Reviewing evaluation tasks and scenarios for logic, completeness, and realism.
- Identifying inconsistencies, missing assumptions, or unclear decision points.
- Helping define clear expected behaviors (gold standards) for AI agents.
- Annotating cause-effect relationships, reasoning paths, and plausible alternatives.
- Thinking through complex systems and policies as a human would to ensure agents are tested properly.
- Working closely with QA, writers, or developers to suggest refinements or edge case coverage.
Freelance Java Developer (all genders)
For an AI lab, we’re looking for a Java Developer to train an AI model (large language model - LLM).
You’ll help AI make sense of the world. As a consultant, you may be invited to join online projects to train the model in your area of expertise.
This flexible role suits both experts seeking part-time work (minimum a few hours per week) and those interested in full-time opportunities.
- Code generation and code review
- Prompt evaluation and complex data annotation
- Training and evaluation of large language models
- Benchmarking and agent-based code execution in sandboxed environments
- Working across multiple programming languages
- Adapting guidelines for new domains and use cases
- Following project-specific rubrics and requirements
- Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects
Project Manager/Account Manager (Senior to Director) (m/f/d)
A company is looking for experienced project managers and account managers who can execute international campaigns on a hands-on basis. The role requires close collaboration with various markets and stakeholders to ensure campaigns are run effectively and on schedule.
The position is ideal for candidates with extensive agency experience, especially in executing traditional campaigns. Experience at renowned agencies like Media Monks or similar is an advantage.
Main responsibilities:
- Planning, executing, and monitoring international campaigns
- Close collaboration with international markets and stakeholders
- Ensuring adherence to timelines and budgets
- Coordinating teams and resources
- Reporting and analyzing campaign results
Business Analyst – SAP S/4HANA Output Management (f/m/d)
- A company is looking for an experienced business analyst to support the transformation from SAP ECC to S/4HANA Utilities.
- The project aims to analyze, document, and optimize output and archiving processes, as well as create functional designs and specifications.
- The analyst will work closely with product owners, IT, and business units to align on feasibility, effort, and prioritization of requirements.
New
Interim Chief Transformation Officer (m/f/d)
A Private Equity–backed German B2B SaaS company is seeking an experienced Interim Chief Transformation Officer (CTO / CTrO) to lead the merger and integration of two B2B SaaS companies, each with approximately 50–100 employees. The companies operate from locations in the Rhine-Ruhr area, Munich, and Hamburg. The objective of this mandate is to design and execute a holistic post-merger transformation, covering strategic direction, product portfolio, target operating model, and scalable processes to enable sustainable and efficient growth.
Mandate Objective End-to-end ownership of the post-merger transformation, with a strong focus on value creation, operational excellence, and scalability.
Key Responsibilities
- Design and execute a comprehensive transformation and post-merger integration (PMI) strategy, including robust business cases
- Identify, assess, and prioritize value creation and optimization opportunities across organization, processes, governance, and technology
- Streamline and consolidate the product portfolio, including active steering of product and customer migrations
- Harmonize and further develop product, sales, and go-to-market organizations (e.g. role models, interfaces, incentives, governance)
- Define and implement the future target operating model (organizational structure, decision frameworks, responsibilities)
- Act as a key sparring partner to the Private Equity investor, management teams, and other senior stakeholders
- Lead, align, and motivate cross-functional teams through a complex change and integration journey
- Establish clear governance, KPIs, and reporting structure
New
Quality Compliance Auditor (GCP/GCLP/GVP) (M/W/D)
A company is looking for an experienced Quality Compliance Auditor who will be responsible for ensuring compliance with GCP, GCLP and GVP standards. The project aims to conduct internal and external audits, prepare and support regulatory inspections, and identify compliance gaps and derive corrective actions.
The role includes planning and conducting audits, assisting with regulatory inspections and ensuring compliance with ICH guidelines as well as EMA/FDA regulations.
- Conducting internal and external audits (GCP, GCLP, GVP)
- Preparing and supporting regulatory inspections (e.g. MHRA, FDA, EMA)
- Identifying compliance gaps and deriving corrective actions
New
Senior Regulatory Compliance Expert (FDA Inspection Preparation) (m/f/d)
A company is looking for a Senior Regulatory Compliance Expert to support its team in getting ready for FDA inspections. The role includes conducting mock inspections, providing strategic advice on inspection readiness, and assisting with pre-approval and routine inspections. The ideal candidate has extensive expertise in compliance with legal requirements, especially FDA standards, and plays a key role in ensuring the company meets global compliance demands.
- Conduct mock inspections according to FDA standards
- Provide strategic advice on inspection readiness
- Support pre-approval and routine inspections
Product Manager POS / Checkout Systems (m/f/d)
A company is looking for an experienced product manager, ideally with a background in the hospitality sector. The goal of this project is to develop innovative product solutions and optimize existing processes to enhance the customer experience and strengthen the company’s market position.
The product manager will play a key role in defining and executing product strategies and will work closely with internal teams and external stakeholders. Travel expenses will not be covered, so the candidate should preferably be based in Berlin or willing to cover costs themselves.
- Lead and oversee the entire project lifecycle in Cloud POS
- Develop and implement project plans, schedules, and budgets
- Coordinate between different teams and stakeholders
- Ensure compliance with project goals and requirements
- Identify and manage risks and issues
- Report to management and other relevant parties
Frontend developer to HR platform with Angular experience
Reach out to us if you are interested in working with us on the project.
Sign up to get access to more exciting projects that match your skills and preferences!
Senior Data Architect (m/f/d)
New
Industries
Information Technology (IT)
Manufacturing
Areas
Business Intelligence
Information Technology (IT)
Project info
- Period01.02.2026 - 01.05.2026
- Daily rate900 - 1100€
- Language
- English(Advanced)
- English
- Remote100%
Description
We are currently looking for a senior data architect (m/f/d) with experience in international industrial data platform and cloud projects for one of our top customers.
Objectives
- Achieve high customer satisfaction through reliable delivery, clear communication, and measurable outcomes.
- Serve as the link among business, product, engineering, security, compliance, legal, and operations; facilitate informed trade-offs.
- Establish and evolve long-term architecture with a balance of security, privacy, performance, cost, resilience, and interoperability.
- Enable data-driven decision-making by optimizing data systems for structure, integration, and compliance. Responsibilities
- Design and implement data models for efficient storage, retrieval, and analysis at enterprise and application levels.
- Organize data at macro level (domains, canonical models, sharing policies) and micro level (logical/physical models); provide golden-source logical models and business rules for data quality.
- Identify and document requirements decisive for long-term architecture; develop and document technology, structure, and implementation decisions based on best practices.
- Verify day-to-day compliance with architectural decisions; establish quality assurance measures (design reviews, automated checks, guardrails).
- Monitor data quality and integrity; ensure compliance with GDPR and security standards; explain decisions and strategies; coach teams.
Key tasks and activities
- Architecture design and stewardship: own end-to-end architecture considering scalability, performance, reliability, and cost; shape and steer the data landscape beyond implementation.
- Data modeling: create conceptual, logical, and physical models; apply Data Vault 2.0, dimensional modeling (Kimball star schemas), and 3NF as appropriate.
- Technology selection: evaluate and select data technologies, ETL/ELT tools, and cloud services within the existing IT landscape; develop concepts and technology proposals.
- Governance and quality: define standards for data quality, metadata, lineage, and access; embed guardrails in data pipelines; ensure GDPR compliance.
- Stakeholder management: act as the technical link between data engineers, data scientists, and business stakeholders; evaluate and communicate architectures and trade-offs.
- Documentation: produce durable architecture documentation, including data flow diagrams, interface descriptions, domain maps, and decision logs.
Requirements
Required skills (technologies, methodologies, tech-stack etc.) including level of experience (e.g., number of years)
- 5+ years in data architecture or senior data engineering; degree in computer science, data management, or related field (or equivalent experience).
- Proven experience in database design, data modeling, and data integration; strong SQL; familiarity with NoSQL and data warehousing; cloud expertise (AWS, Azure, or Google Cloud).
- Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and modern data frameworks (Spark, Kafka, Hadoop); proficiency with modeling and diagramming tools (Enterprise Architect, ER / Studio, Visio / Lucidchart).
Hard skills:
- deep modeling competence
- relational and NoSQL databases
- ELT/ETL
- distributed computing
- programming (Python, SQL; Java as needed)
- security-by-design (privacy, access control, encryption, line-age, auditability).