Staff Engineer with a Focus on Data & AI

Role Overview The Quality Group GmbH is looking for a Staff Engineer with a focus on Data and AI. This remote position is based in Germany. The role centers on developing solutions in artificial intelligence and data analytics that support and improve company operations. What You Will Do Work with a team of engineers and specialists to design and build applications using advanced data and AI technologies. Implement and refine systems that strengthen analytics and automation across the business. Collaborate across teams to ensure new tools and processes align with company goals. Location Remote within Germany.

Cosuno is bringing digital transformation to the construction industry, focusing on modernizing procurement and subcontractor allocation. As a ConTech scale-up in Europe, the company reports strong growth and has ambitious plans for the future. The Chief of Staff (Commercial Focus) works fully remote and partners closely with the founding team and Chief Revenue Officer. This position is designed for someone who can act as a builder and trusted advisor, tackling complex growth challenges and leading strategic projects from concept through implementation. The role supports executive leadership as a key right hand, with a focus on driving commercial scaling. What you will do Strategic execution: Lead and deliver go-to-market projects across Enterprise Sales, Revenue Operations, and Customer Success. Commercial excellence: Spot inefficiencies in commercial funnels, develop data-driven solutions, and help scale revenue through pricing, exploring new market segments, and improving sales cycles. Cross-functional leadership: Connect commercial teams with Product and Tech, reduce silos, and align efforts to achieve company OKRs. Executive support: Handle operational tasks for the founding team and CRO, prepare for board meetings, and make preliminary C-level decisions as needed. Requirements Analytical mindset: Comfortable moving between high-level strategy and hands-on data analysis or operational work. Relevant experience: 2-3+ years in a leading strategy consultancy or a high-impact strategic role within a fast-growing B2B SaaS company. Commercial acumen: Familiar with B2B software metrics such as ARR, CAC, LTV, and Churn. Experience with GTM strategy, sales excellence, or pricing projects is a plus. Data-driven decision making: Skilled in financial and commercial modeling, able to turn complex challenges into clear, actionable recommendations.

Role overview Jobgether seeks a Staff Engineer specializing in Data Platform to strengthen and evolve data infrastructure in Germany. This role influences how data moves and is managed throughout the company, ensuring data-driven decision-making is possible at every level. What you will do Design, build, and enhance scalable data solutions that align with business requirements Partner with teams across the organization to provide dependable and efficient data services Evaluate and introduce new technologies to advance the data platform Tune existing systems for better performance and reliability Collaboration This position works closely with cross-functional teams to keep the data ecosystem effective and in line with company objectives.

About the RoleAs a Staff AI Engineer at bluefishai, you'll take on a pivotal role as a technical leader for our cutting-edge LLM-powered products, which are at the forefront of marketing and advertising technologies. You will be responsible for making essential architectural decisions, establishing quality benchmarks, and spearheading multi-team initiatives that yield measurable results.Your responsibilities will include leading the vision and execution of our data platform and LLM-integrated products. You will oversee significant architectural decisions concerning data pipelines, model integration, deployment, and evaluations, transforming high-level business and product requirements into reliable, scalable data solutions that deliver impactful outcomes for our Fortune 500 clients. This role encompasses both data backend and machine learning engineering, ensuring the reliability and cost-effectiveness of our pipelines while enhancing the performance of LLM-enabled features. Furthermore, you will elevate data literacy across the department through effective collaboration and craftsmanship.You will be accountable for the health, cost, and growth of key data products and platforms, partnering closely with full-stack engineers, product managers, design teams, and DevOps to produce outcomes that our customers can confidently rely on.This position offers an exciting opportunity to influence the future of AI-driven technologies and make significant contributions to tangible applications.While this role is associated with our Berlin location, we offer flexibility for remote work within Germany.

Join the innovative team at emnify as a Staff Data Engineer (m/f/d) in Berlin, where you will play a critical role in enhancing our data infrastructure and driving data-driven decisions. You will collaborate with cross-functional teams to design and implement scalable data solutions, ensuring the integrity and accessibility of our data resources. If you are passionate about data engineering and want to make a significant impact in a dynamic company, apply now!

At Intercom, we are revolutionizing customer service with our innovative AI solutions, dedicated to helping businesses enhance their customer interactions.Our AI agent, Fin, stands as the most advanced customer service AI solution available, enabling businesses to offer unparalleled, round-the-clock support that significantly improves customer experiences. By integrating Fin with our Helpdesk, we deliver a comprehensive solution known as the Intercom Customer Service Suite, which is designed to handle complex inquiries that require a human touch.Established in 2011 and trusted by nearly 30,000 businesses worldwide, Intercom is committed to raising the bar for customer service. We are driven by our core values, which inspire us to push boundaries, innovate with urgency, and continuously provide exceptional value to our clients.What’s the Opportunity?We are seeking experienced Staff Product Engineers to join our AI Group, tasked with developing Intercom’s AI-driven products. In this role, you will collaborate closely with our ML Scientists and product teams to gain an in-depth understanding of our products, customers, and the machine learning technology stack we utilize.Our team is dedicated to defining new machine learning features, exploring suitable algorithms and technologies, and swiftly delivering initial prototypes to our customers.As a product-focused unit, we work in collaboration with the Product and Design teams to ensure we deliver the best possible AI-enhanced product experiences. Our engineers are instrumental in facilitating rapid production, often transitioning to beta releases within weeks following successful offline tests.We are passionate about leveraging machine learning technologies, and our projects range from classic supervised models to cutting-edge unsupervised clustering algorithms, and innovative applications of transformer neural networks. We rigorously test and measure the genuine impact of each model we deploy on our customers.If you are an accomplished product engineer with a strong analytical mindset and hands-on experience with machine learning systems, we would love to connect with you!

About Parloa Parloa builds technology to make customer conversations smoother and more meaningful for both clients and the businesses that serve them. Using agentic AI, the team supports a new kind of customer experience, one where support is a real dialogue, not just a transaction. Parloa already powers over one billion interactions for brands like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI, helping them operate at scale. Role Overview: Staff Data Engineer – Internal Platform This Staff Data Engineer role focuses on shaping and running the internal data infrastructure behind Parloa’s AI transformation. Today, essential business data sits in many disconnected tools, making access difficult. The main challenge: build a unified, self-service data layer so AI agents and teams can access the business context they need. This position works closely with the AI Transformation Team and stakeholders across Parloa to define KPIs and dashboards for tracking AI adoption and its impact. Key Responsibilities Data Platform Infrastructure: Oversee all aspects of the internal Databricks workspace, including configuration, compute management, access controls, and cost tracking. Ingestion Pipelines: Build and maintain Airbyte pipelines to automate scheduled data extraction from systems like Salesforce, Gong, HRIS, finance tools, and others. Data Modeling & Transformation: Design architecture to convert raw data into clean, reliable, analysis-ready datasets. AI Data Enablement: Partner with the AI Transformation Team to deliver accurate, well-formatted data for AI agents and LLM workflows. AI Adoption Measurement: Develop KPIs and dashboards to track AI usage, proficiency, and business impact across the company. Data Governance & Compliance: Manage data classification, access policies, GDPR/DPA compliance, and pipeline monitoring. What We’re Looking For Hands-on experience designing data layers for AI or LLM-based applications and agentic workflows. Strong skills in Python, SQL, ETL/ELT tools, and MLOps. Solid grasp of dimensional modeling and modern data warehouse technologies. Location This position is based in Parloa’s Berlin office.

D ONE is an elite consultancy firm specializing in data, artificial intelligence, and transformation initiatives.We empower organizations to translate their ambitions into tangible impact by aligning strategic goals, establishing robust data foundations, delivering scalable high-impact solutions, and fostering trust through governance and a people-centric approach. Operating from Zurich, Munich, and Athens, we leverage our extensive expertise across the entire data value chain to support clients throughout Europe. Our methodology is pragmatic, focused on people, and designed to create lasting value.In this position, you will guide our clients through the conception, planning, and execution of data and AI solutions. Based in our Munich office, you will collaborate with your project team to deliver the high quality and reliability for which we are renowned.Your Responsibilities:Assessing client requirements and designing customized data solutions.Engaging in multiple project areas, including cloud engineering, infrastructure, data engineering, data science, and generative AI applications.Communicating findings and insights to stakeholders and management.Occasionally traveling to Switzerland and other international locations to meet clients and collaborate with our headquarters team in Zurich.What You Bring:A university degree in Computer Science or a related field.A minimum of 5 years of relevant work experience.Extensive hands-on experience with contemporary data engineering tools and platforms (e.g., Azure Data Factory, Databricks, Synapse, dbt, Palantir Foundry), along with proficiency in SQL, Python, and Spark.Experience in designing and implementing generative AI solutions, such as retrieval-augmented generation (RAG) systems, copilots, intelligent search, and workflow automation.A strong grasp of data modeling and data warehousing principles.A pragmatic and results-driven mindset.Excellent communication skills in English.What We Offer:A straightforward and low-distraction environment that allows for a focus on what truly matters.An international team of skilled professionals from diverse backgrounds, who are ambitious, enjoy challenges, and value a positive work atmosphere.Growth opportunities through our D ONE Academy, including mentoring programs, knowledge-sharing sessions, expert groups, and tailored training in soft skills and leadership.Regular team-building events and social gatherings.To Succeed in This Role, You Should:Be committed to understanding your clients' needs.Deliver exceptional results that provide high business value in an easily understandable format.Possess the intellectual agility needed to facilitate smooth collaboration.Value innovative and collaborative teamwork.

Tietoevry is looking for a (Senior) Data & AI Engineer to help turn complex data into practical insights for clients. This position is based in Regensburg and centers on building solutions that support business decision-making. Role overview This role focuses on applying AI technologies to real-world data challenges. The engineer will design and implement data-driven tools and systems, with the goal of helping clients reach their objectives more effectively. What you will do Develop and refine AI-based solutions using client data Translate data into clear, actionable insights Support clients as they work toward their business goals Location This position is located in Regensburg.

Mindrift is looking for a Freelance Python Data Scraping Engineer to join its remote team, supporting projects from Stuttgart, Baden-Württemberg, Germany. This part-time, freelance position centers on the Tendem project, where engineers contribute as "AI Pilots" to streamline and improve data workflows. Role overview This role focuses on extracting, processing, and validating data from complex and dynamic web sources. The engineer collaborates with Tendem Agents, applying analytical skills and domain expertise to ensure data is accurate and relevant. Work is fully remote and designed for professionals with a strong background in web scraping and data processing. What you will do Lead data extraction projects on complex websites, delivering structured datasets that meet quality standards. Use internal tools such as Apify and OpenRouter, along with custom workflows, to collect, verify, and process data according to project needs. Develop and refine scraping methods for dynamic and interactive sites, including those with JavaScript-rendered content or frequent changes. Maintain high data quality through validation checks, consistency controls, formatting compliance, and systematic verification. Optimize large-scale scraping using batching or parallel processing, and build resilience against minor site structure changes. Requirements Minimum 3 years of hands-on experience in data engineering, web scraping, and automation. Compensation Contributors can earn up to $32 per hour, depending on project complexity, performance, and expertise. Actual rates may vary between projects. How to apply Submit an application through the provided link. Qualified candidates are matched with projects that suit their technical strengths and can set their own schedules. Work includes programming, automation, and refining AI outputs, supporting the practical use of AI in real-world scenarios.

At Intercom, we are revolutionizing customer service through innovative AI solutions designed to enhance business interactions. Our flagship AI agent, Fin, represents the pinnacle of customer service technology, enabling organizations to provide seamless and effective support 24/7. By integrating Fin with our Helpdesk, we offer a comprehensive Customer Service Suite that empowers businesses to tackle complex queries with ease, ensuring a superior customer experience.Established in 2011, Intercom has gained the trust of nearly 30,000 businesses worldwide, setting a new benchmark for customer service excellence. We are committed to pushing boundaries, delivering swift and impactful solutions, and continuously adding value for our clients.Berlin's dynamic blend of technical expertise and creative innovation attracts us, making it an ideal location for our operations. This vibrant city, closely connected to our R&D hubs in Dublin and London, is a magnet for top talent eager to contribute to ambitious projects.This year, we aim to expand our Berlin team by hiring 100 professionals across engineering, AI, data science, product, and design. This is an exciting opportunity to join us as we establish a strong R&D presence in the region, helping shape the future of customer service.What’s the Opportunity?As a Staff Engineer, you will take on a leadership role within the engineering team, significantly contributing to our organization. You will develop both back-end and front-end systems, collaborating closely with designers, product managers, researchers, and data analysts. Your responsibilities will include mentoring fellow engineers and working alongside the Engineering Manager to refine team development and technical strategy.Your ResponsibilitiesAs a seasoned engineer, your contributions will include:Enhancing our technical architecture to accommodate the scaling demands of our diverse clientele.Prioritizing agility alongside scalability and availability, supporting continuous deployment and incremental feature releases.Engaging in all phases of software development, contributing to high-impact projects that improve our service delivery.

At Statista, we are dedicated to providing verified and actionable data, positioning ourselves as the premier global business data platform. Our mission is to empower individuals and organizations worldwide to make informed, data-driven decisions through our suite of reliable data and innovative analytics tools.Founded in Hamburg in 2007, Statista has rapidly expanded to become a global leader, with offices in key cities including London, New York, Berlin, and Tokyo. Our ongoing growth not only highlights our success but also continually opens up new avenues for career development and advancement for our talented team members.We celebrate diversity and inclusivity, welcoming team members from all backgrounds. Your unique story contributes to our collective success—let’s continue to write it together!Are you prepared to take the next step in your career with us?

Join our dynamic Platform tribe at SumUp, where your expertise will help us create an innovative self-service, AI-Ready Data Platform. Our Data Platform team plays a crucial role in supporting our ambitious ventures into Data, AI, and real-time analytics. We are committed to building robust and scalable infrastructure that empowers our global data community.Your ResponsibilitiesDesign and sustain an exceptional data infrastructure that underpins vital processes.Enhance platform self-service capabilities by developing features for ETL and orchestration.Streamline processes to maximize compute resource efficiency and minimize costs.Implement automation solutions to ensure our infrastructure's availability around the clock.Participate in the design and rollout of new services within our platform ecosystem.

Join our dynamic team at frisbii as a Data & AI Engineer, where your skills in Data and AI Engineering will make a significant impact. This hands-on position is vital for advancing our data engineering capabilities and shaping our AI automation roadmap through cutting-edge technologies such as Snowflake, DBT, and AWS Bedrock Agentcore.In this role, you will collaborate with a talented group of engineers, product managers, designers, and other stakeholders. Your mission will be to apply robust engineering principles, produce high-quality code, and develop trustworthy solutions that effectively address real business challenges on a large scale.

Tietoevry is hiring a (Senior) Data & AI Engineer in Berlin. This position centers on designing and building data solutions that use artificial intelligence to solve real business problems. Role overview As part of Tieto Tech Consulting, this engineer will collaborate with experienced colleagues to create data-driven systems. The work involves turning complex data into practical insights and supporting business decisions through analytics. What you will do Design and implement data solutions that incorporate AI methods Work closely with industry experts to deliver projects Help transform data into insights that support business goals Requirements Experience in data engineering and artificial intelligence Ability to develop solutions that turn data into actionable information Interest in advanced analytics and its business applications

Please submit your CV in English and specify your English proficiency level. Mindrift, in partnership with toloka-ai, offers project-based freelance work for experienced data scientists. This role centers on testing, evaluating, and enhancing AI systems for leading technology companies. All assignments are project-based, not permanent employment. Key Responsibilities Design original data science challenges that reflect analytical work from sectors like telecom, finance, government, e-commerce, and healthcare. Create tasks requiring advanced Python programming, using libraries such as Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn. Develop problems that require significant computational effort, making manual solutions impractical. Formulate scenarios involving complex data processing, statistical analysis, feature engineering, predictive modeling, and extracting business insights. Ensure each challenge is deterministic and reproducible, using fixed random seeds when needed. Base tasks on real business needs, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Build end-to-end challenges covering the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include scenarios that require scalable computational methods for large datasets. Validate solutions in Python using standard data science libraries and statistical techniques. Write clear documentation for each problem, providing business context and verified solutions. Requirements Minimum 5 years of hands-on data science experience with measurable business outcomes. Portfolio of completed projects or publications showing real-world problem-solving. Advanced Python programming skills for data science (pandas, numpy, scipy, scikit-learn, statsmodels). Expertise in statistical analysis and machine learning, with strong knowledge of algorithms and methodologies. Proficient SQL skills for data analysis and manipulation. Familiarity with GenAI technologies, including LLMs, RAG, prompt engineering, and vector databases. Understanding of MLOps and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Strong written English skills at C1 level or higher. How to Get Started Apply Complete qualification(s) Join a project Finish assigned tasks Receive compensation Location: Remote , Stuttgart, Baden-Württemberg, Germany

Please submit your CV in English and indicate your English proficiency level. Mindrift connects experienced specialists with project-based AI work for technology companies. Assignments focus on testing, evaluating, and improving AI systems. This freelance, project-based position does not offer permanent employment. Role overview As a Freelance AI Evaluation Engineer, the primary focus is building a dataset to assess AI coding agents using real-world developer tasks. The work involves designing detailed tasks and evaluation methods in realistic simulated environments. Main responsibilities Create virtual companies from high-level plans, including codebases, infrastructure, and realistic context such as conversations, documentation, and tickets that reflect authentic development history. Develop and refine tasks for different stages of the virtual company. This includes writing prompts, setting evaluation criteria, and ensuring tasks are solvable and assessments are fair. Design assignments for isolated environments that mimic a developer's workstation, using a Linux machine with development tools (terminal, CLI), MCP servers (repository, task tracker, messenger, documentation), and a real web application codebase. Build tests that accept all valid solutions and reject incorrect ones, aiming for balanced strictness. Work with an AI agent to confirm that tests detect real issues, do not overlook errors, and validate correct solutions. Review code generated by agents, analyze why solutions succeed or fail, and invent edge cases and adversarial scenarios. Incorporate feedback from expert QA reviewers to improve your work and meet quality standards. Scope clarifications This position does not include data labeling. This position does not cover prompt engineering. Writing code from scratch is not required. The AI agent handles most coding; your focus is on guidance and evaluation. Much of the work involves collaborating directly with AI systems, as designing challenges for advanced models requires hands-on interaction with those models.

PPRO simplifies access to local payment methods worldwide. By working with partners like Ant Group, PayPal, and Stripe, the company helps businesses reach new markets and connect with more customers. The goal: make it easy for anyone to pay how they want, wherever they are. PPRO’s team includes colleagues from over 50 nationalities, spread across more than 10 countries. The company culture values action, openness, customer focus, ambition, and teamwork. Role Overview The Lead Data Engineer joins the Data & Analytics team in Munich. This team supports business, technology, and operations, aiming to build a self-service data platform that enables fast, informed decisions across the company. The mission: develop a modern, scalable data infrastructure that serves as a single source of truth for PPRO’s growth and operational needs. What You Will Do Lead technical efforts within the Data & Analytics team Design and build frameworks for data pipelines and infrastructure Enable teams to publish and access data efficiently Help shape a self-service data contributor platform About the Team The Data & Analytics group acts as a key partner to multiple business areas. The team’s work supports PPRO’s mission to deliver reliable products and services to partners and customers worldwide.

At Statista, we define ourselves by our commitment to delivering accurate data and insights. As the world’s leading business data platform, we provide reliable and user-friendly data analytics products and services that empower individuals and organizations worldwide to make informed decisions.Founded in Hamburg in 2007, we have rapidly expanded to become a global entity with offices in prominent cities including London, New York, Berlin, and Tokyo. Our ongoing growth showcases our success and continuously creates new career and development opportunities for our employees.We celebrate and value our diverse culture. Your individuality is welcomed here, irrespective of your background, appearance, or preferences in data visualization. Your unique journey matters – continue to write it with us.Are you prepared to embark on this journey with us?Your MissionAs the Team Lead, you will foster, guide, and develop a high-performing team of Data and AI Engineers, focused on creating the next generation of automation and AI solutions for our organization. You will define the team's direction, cultivate a culture of excellence and collaboration, and ensure the delivery of dependable, scalable AI systems critical to our business.Your TasksLead, mentor, and nurture a team of Data and AI Engineers, establishing clear objectives, conducting effective one-on-ones, and aiding in their professional development.Provide technical leadership and direction by reviewing code, shaping architectural decisions, and ensuring high engineering standards throughout the team.Oversee the comprehensive delivery of advanced Data and AI-driven solutions, managing priorities, timelines, and resources effectively.Design, implement, and manage scalable cloud infrastructure for AI services and APIs, ensuring reliability, performance, and cost-effectiveness.Identify and prioritize automation opportunities with stakeholders, guiding your team to implement solutions that enhance workflows across the company.Serve as the primary liaison for your domain, collaborating with product, data, and business leaders to align your team’s focus on high-impact projects.Promote modern AI and automation practices within the team, encouraging experimentation, learning, and the integration of cutting-edge tools.