1KOMMA5° At 1KOMMA5°, we pursue a clear vision: Living on wind and sunlight forever for free. To make this a reality, we are building the energy system of the future with Heartbeat AI. Want to be part of it?We bring together regional craftsmanship and scalable software: We don't think of solar, batteries, heat pumps, and e-mobility as isolated components, but control them as an intelligent, integrated overall system in our virtual power plant. Directly connected to the electricity market – in real time, fully automated. This way, energy is used when it is available from renewables and particularly cost-effective. By 2030, our goal is to transition 1.5 million households to renewable energies. Over 3,000 people are working towards this every day, at more than 80 locations worldwide, from Finland to Australia. Want to take responsibility and build solutions that truly matter? Apply now and help us shape the energy world of tomorrow. Learn about our Product & Tech team! Deine Position At 1KOMMA5, we are committed to Data-Driven Decision-Making. Your mission is to be the catalyst for this process, working closely with all organizational domains to design and build a robust and scalable data model in our Data Warehouse. By ensuring data integrity, accessibility, and quality, you will empower decision-makers at every level to draw verified insights, transforming guesswork into strategic, quantifiable action across our entire product and operational ecosystem. In your mission, you will be supported by the Data & Analytics Platform Teams. They design and build the foundation of how data flows through our company. Together you will identify bottlenecks in our technical capabilities and support building the right data product for our internal stakeholders. Key responsibilities include but are not limited to: - Design and develop data models across different domains (e.g. Sales, Logistics, Operations or Energy Services) in collaboration with the respective Domain. - Collaborate closely with cross-functional teams to understand data needs. - Mentor and upskill the domains to be able to continue owning their data products independently. - Close collaboration with Data & Analytics Platform to ensure a coherent Data Platform for our stakeholders. Technologies you will work with include: - SQLMesh - Looker - SQL - Google Cloud Platform (BigQuery, CloudRun, Pub/Sub, Dataform, etc.) - Data Catalogue - DataHub - Cursor - Terraform / Terramate - GitHub Actions - Python Dein Profil - Proven experience (3+ years) in an analytics role, preferably within a fast-paced tech company or similar environment - You are a SQL Expert with a strong preference for BigQuery. You basically know every part of BigQuery, how to store and query data efficiently at scale - Strong understanding of data concepts specifically about data modelling for analytical purposes - Strong experience in at least 2 different domains (e.g. Sales, CRM, Energy, Ops, Product or others) - You are experienced in at least one BI tool (preferably Looker). Getting and presenting insights from Data using Dashboards is native to you - Strong understanding of difficulties arising from fast paced environments - Strong Experience with data governance, especially around implementing and managing data catalogs, IAM, ensuring metadata management and efficient data discovery - Independent working style - You are confident working independently, unblock yourself or find partners to pave the way forward - Basic understanding of data ingestion and software engineering in general, preferably rudimentary python skills - Very good knowledge of spoken and written english, german is a plus Bonus points for: - Having worked in a scale up environment at a company of similar size - Interest in the climate tech industry Be part of a dynamic team dedicated to reshaping the energy landscape. If you're passionate about leveraging data to drive innovation in renewable energy solutions, join us in our quest to make a sustainable difference. Benefits - You are part of an international, dynamic, and highly motivated team of people who have proven to make things happen - With your work, you accelerate the "energy transition" and hence have a direct impact on our climate - Work with and learn from other super-smart colleagues - You move in flat hierarchies and have direct contact with the managing directors as well as short decision-making paths - You will enjoy the best chances of entering full-time in one of Europe’s most thriving scaleups - You work remotely (Germany-wide), with offices in Hamburg, Berlin or Munich - Create a healthy balance alongside your work and enjoy all the benefits of the EGYM Wellpass - Benefits and discounts are yours with Futurebens - Whether city bike or e-bike - be flexible with our job bike leasing and do something good for the environment at the same time

Clinical Data Coordinator - Homebased - PHL ICON plc is a world-leading healthcare intelligence and clinical research organization. We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development We are currently seeking a Clinical Data Coordinator to join our diverse and dynamic team. As a Clinical Data Coordinator at ICON, you will be responsible for overseeing the collection, management, and quality of clinical data to ensure compliance with regulatory requirements and project timelines. Your expertise will be vital in supporting the successful execution of clinical trials through effective data management practices. What You Will Be Doing: - Coordinating data collection activities, ensuring accuracy and completeness of clinical trial data. - Managing data entry processes and performing quality control checks to maintain data integrity. - Collaborating with cross-functional teams, including clinical operations and data management, to address data-related issues and enhance project efficiency. - Assisting in the development and implementation of data management plans and standard operating procedures. - Staying current with industry trends and best practices in clinical data management to drive continuous improvement initiatives. Your Profile: - Bachelor's degree in life sciences, data management, or a related field; advanced degree preferred. - Proven experience in clinical data coordination or management within the clinical research industry. - Strong analytical skills and attention to detail, with a focus on data accuracy and quality. - Excellent communication and interpersonal skills, facilitating effective collaboration with diverse teams and stakeholders. - Proficiency in data management systems and clinical trial management software. - A commitment to maintaining high standards of quality and compliance in all data-related activities. - Must be amenable to work homebased, midshift schedule (3pm-12mn PHT) What ICON can offer you: Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: - Various annual leave entitlements - A range of health insurance offerings to suit you and your family’s needs. - Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. - Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family’s well-being. - Life assurance - Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We’re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here. Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here to apply

Are you ready to take the next step in your Data Engineering career and build modern data solutions with an experienced team? At Advian, you’ll work on AWS-based data platforms, pipelines and analytics solutions as part of a skilled customer team — gaining hands-on experience with modern technologies while growing into a versatile data professional. ADVIAN Advian turns data into real value by tackling tough challenges with expertise and methods you won’t find elsewhere. Our core strengths are Edge AI, GeoAI, and the intelligent use of data. We work across industries with technically demanding and innovative projects, often solving problems where standard solutions don’t exist. Our flat and self-directed organizational culture gives you the autonomy to drive impact while benefiting from support among highly skilled colleagues. THE ROLE As a data engineer, you will work as part of a larger customer team. You will get to design and implement data platforms, databases and pipelines in the AWS environment. Depending on your skills, you can also participate in the implementation of reporting and analytics solutions. WHAT WE ARE LOOKING FOR We would be a great match if you have: - At least 1–2 years of practical experience implementing data solutions in AWS - Finnish and English (both at a professional working level) It is considered a plus if you have: - Experience with Snowflake - Understanding of Data Vault modeling - Experience with Agile Data Engine - Knowledge of Tableau WHY ADVIAN Who better to tell than the co-Advians themselves? Many describe Advian as a place where freedom, trust and self-direction enable meaningful work. In this role, you’ll have the opportunity to grow your expertise while contributing to real customer projects together with experienced colleagues. - Flexible working hours and location - A low-hierarchy and self-directed culture - A supportive team of highly skilled professionals - Opportunities to grow your expertise in modern data technologies - Challenging and meaningful customer projects Read more about Advian and our people on our website. PRACTICAL DETAILS - Permanent and full-time position (part-time work also possible) - Location: Espoo or remotely from anywhere in Finland ARE YOU INTERESTED? Share your goals in your application and send it through our career portal no later than 14.4.2026.  Apply quickly, as we review applications continuously and may fill the position before the deadline! If you have any questions, feel free to contact our HR Specialist Anniina Tuomela (anniina.tuomela@advian.fi) Only goals and dreams as limits!

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves  While each project involves unique tasks, contributors may:  - 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 What we look for This opportunity is a good fit for Data Science specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - 5+ years of hands-on data science experience with proven business impact - Portfolio of completed projects and publications showcasing real-world problem-solving - Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) - Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications - Expert with SQL and database operations for data manipulation and analysis - Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases) - Understanding of MLOps practices and model deployment workflows - Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) - Strong written English (C1+). How it works  Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations  For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.  Compensation On this project, contributors can earn up to $58 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.