Business Intelligence Data Engineer

Join Kpler as a Business Intelligence Data Engineer, where you will play a crucial role in transforming data into actionable insights. You will work with cutting-edge technologies to develop and maintain our data pipelines, ensuring data quality and accessibility across the organization.

Waymo is a pioneering company in autonomous driving technology, striving to become the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save thousands of lives lost to traffic accidents. The Waymo Driver not only powers our fully autonomous ride-hail service but is also adaptable to various vehicle platforms and applications. With over ten million rider-only trips completed, our technology has driven autonomously over 100 million miles on public roads and simulated tens of billions of miles across more than 15 U.S. states.Waymo's Data Science team plays a crucial role in our efforts to create safe and reliable autonomous driving technology. We leverage data analysis and statistical expertise to evaluate and enhance the Waymo Driver's performance, focusing on reliability, driving quality, and safety. As a Business Intelligence Analyst, you will be instrumental in building the data infrastructure that supports reporting and analytics for vital areas within the Waymo Data Science team.

Telemedi is a pioneering medtech company that merges the expertise of developers and healthcare professionals to create advanced digital solutions for the medical field. We design and implement cutting-edge technologies that revolutionize the way healthcare services are delivered, ensuring that both patients and doctors have easy, quick, and efficient access to medical care.Your RoleAs a Business Intelligence Analyst, you will play a crucial role in analyzing complex datasets to support our telemedicine operations. You will collaborate closely with various departments, providing actionable insights, optimizing processes, and contributing to the overall growth of the company. This position requires strong analytical skills, excellent data visualization capabilities, and experience with essential BI tools and techniques.Key ResponsibilitiesData Analysis and Reporting:Analyze large and complex datasets to generate valuable insights.Develop and maintain reports, dashboards, and visualizations using Power BI, Google Sheets, and other tools.Conduct KPI analysis to monitor business performance and identify areas for improvement.Perform cohort analysis and customer profiling to understand patient behaviors and trends.Data Infrastructure and Management:Oversee data warehouse migration projects to ensure seamless transitions with minimal disruptions.Supervise the implementation of data warehouses, ensuring data integrity and security.Implement best practices in data management to maintain high data quality standards.API Integrations and Data Management:Work with API integrations to ensure smooth data flow between systems.Manage and optimize data storage solutions, including BigQuery and MySQL.Cross-Department Collaboration:Collaborate with various teams, including marketing, operations, and IT, to support their data needs.Communicate insights and recommendations to stakeholders at all levels of the organization.

JetBrains is hiring a Business Intelligence Analyst to join the Data Office. This position centers on gathering and analyzing data to guide strategic decisions and support teams in multiple countries. The work directly influences product improvements and helps shape how JetBrains delivers value to its customers. What you will do Use data to inform and support business strategy Provide insights that help refine operations Collaborate with teams across several international offices Contribute to ongoing product enhancement efforts Locations Belgrade, Serbia Limassol, Cyprus Madrid, Spain Paphos, Cyprus Prague, Czech Republic Warsaw, Poland Yerevan, Armenia

Creatoriq is hiring a Senior Data Analyst for the Strategic Intelligence team in Warsaw. This position plays a key role in guiding business decisions through careful analysis and creative problem-solving. Role overview The Senior Data Analyst focuses on interpreting large and complex datasets, providing insights that influence company strategy. The work centers on transforming raw data into clear, actionable recommendations for the business. What you will do Analyze and interpret data to support strategic business decisions Develop solutions to address business challenges using data-driven approaches Present findings in a way that is clear and useful for stakeholders Requirements Strong analytical mindset Experience with data manipulation Ability to turn complex datasets into actionable insights

Join our innovative Threat Intelligence team at Nordsec as a Senior Data Scientist. In this pivotal role, you will analyze complex data sets to enhance our cybersecurity measures and protect our clients from emerging threats. You will leverage advanced analytical techniques and machine learning algorithms to derive insights that inform strategic decisions.

Join Our Inclusive CommunityAt Netcompany, we value community and strive to create an open and welcoming workplace built on collaboration and trust. Our culture is rooted in mutual support and respect for all individuals, regardless of their backgrounds, identities, or experiences. We cultivate equal opportunities for personal development and well-being.As an international company with a diverse workforce, you will have the chance to learn and collaborate with colleagues from various cultures. Our shared environment encourages engagement across departments and projects, complemented by a range of social and professional events that help you build a robust network early in your career.We are seeking a motivated and skilled Associate Data Consultant to develop and deliver data warehouses and business intelligence solutions.In this role based in our Warsaw office, you will collaborate with colleagues from Poland, Denmark, Norway, and the UK on exciting data projects. From day one, you will add value to our projects, taking responsibility for your deliverables and demonstrating your drive to tackle the steep learning curve. You will not be alone in this journey; you will work alongside some of the industry's top consultants who prioritize knowledge sharing, feedback, and professional growth.

Join the forefront of online security with the world's leading VPN provider.If you are an inquisitive problem-solver eager to innovate, become a part of the team spearheading Threat Protection Pro, the NordLynx protocol, and the fastest VPN available—empowering users with enhanced privacy, security, and control over their data.Your contribution? Enabling millions to reclaim their online security, privacy, and data.Our Threat Intelligence team is committed to delivering precise and timely insights regarding potential threats to our products. Our diverse team of experts spans various disciplines, including Data Science, Malware Research, Development, and Privacy, all working towards a unified objective through the application of data feeds, heuristics, algorithms, and machine learning.Key ResponsibilitiesDesign and implement solutions to complex problems while conducting research, debugging, and data analysis across various sources;Create scalable, reliable code and document your contributions and explorations;Research, develop, and deploy data science solutions to production;Develop custom machine learning metrics to monitor model performance;Analyze validation/testing outcomes, provide explanations, and refine model designs accordingly;Collaborate with team members to plan deliverables;Perform code reviews to ensure quality;Maintain open communication regarding project progress;Mentor colleagues and share knowledge within the team;Propose enhancements to existing solutions.Core QualificationsDemonstrated experience in data science and/or mathematical modeling;Strong understanding of statistical methods (e.g., Monte Carlo, hypothesis testing, bootstrap, Bayesian inference);Extensive knowledge and practical experience with machine learning algorithms: linear regression, random forest, gradient boosted trees, neural networks, k-means, etc.;Proficiency in Python and hands-on experience with the PyData stack (e.g., Pandas, NumPy, etc.);

Join the forefront of digital security with the world’s leading VPN provider!At Nordsec, we are seeking a passionate and innovative Staff Software Engineer to be a pivotal member of our Threat Protection Pro team. You will be instrumental in developing the NordLynx protocol and contributing to our mission of delivering the fastest VPN experience globally—empowering users to reclaim their online privacy, security, and control.Your contributions will significantly impact: Enabling millions to enhance their online security and safeguard their personal data.

At Samba TV, we are at the forefront of transforming the global viewing landscape through our innovative data and technology. Our mission is to enhance the viewing experience for audiences worldwide. With our unique data capabilities, we empower media companies to connect with viewers for their latest shows and movies, while providing advertisers with tools to engage audiences and evaluate their reach across various devices. Our rich narrative is shaped by a diverse array of cultural insights derived from our extensive global data reach and AI-driven analytics.We are looking for a talented Data Engineer to join our data platform team. This team is essential in developing and maintaining the robust data platform that serves our entire organization, facilitating everything from data ingestion to advanced analytics and reporting. You will work with valuable viewership data and contextual datasets, as well as scalable applications that support data-driven decision-making. Our hybrid work model allows you to collaborate primarily using AWS, Databricks, BigQuery, and Snowflake technologies. The successful candidate will possess significant expertise in cloud-based data engineering, distributed data processing, and data governance, ensuring our analytics, reporting, and machine learning initiatives are well-supported.

Join our dynamic team at inetum2 as a Data Engineer, where you will play a pivotal role in designing, building, and optimizing our data infrastructure. We are seeking a forward-thinking individual with a passion for data and technology.

As a Business Development Manager at Inetum, you will tap into your creativity and innovative thinking to drive international sales within the Data & AI sectors. This role allows for the implementation of your unique ideas while adhering to project schedules. We value independence and experience, especially in international sales, all within a supportive and non-corporate atmosphere.Your key responsibilities will include:Marketing and selling our IT services in international markets, primarily targeting the UK, Germany, and Nordic regions.Enhancing the company's international sales capabilities, focusing on acquiring new clients and collaborating with Business Partners.Crafting and delivering compelling proposals to potential clients.Negotiating contracts and agreements for our IT services.Conducting analyses of customer and market needs, defining requirements, and generating innovative ideas to boost sales.Developing and executing sales strategies tailored for foreign markets.Generating and converting leads, including those from our Marketing and Lead Generation Team, into satisfied clients.Establishing long-term partnerships with clients and business partners.

Role overview Sigma Software Group is hiring a Senior Data Engineer in Warsaw to focus on integrations and the data platform. This position involves designing and building solutions that connect data across the company’s platforms. Collaboration with teams throughout the organization is central to keeping data moving reliably and strengthening the overall data architecture. What you will do Design and implement data integration solutions for various platforms Work closely with cross-functional teams to keep data flowing seamlessly Optimize and maintain data pipelines for performance and reliability Monitor data quality and drive improvements where needed Apply best practices in data management Support the ongoing development of the company’s data architecture Impact This role plays a key part in enabling data-driven decision making at Sigma Software Group. By ensuring reliable, high-quality data is available when needed, the Senior Data Engineer helps establish data as a strategic asset for the organization.

About The Dot CollectiveWe are a forward-thinking consultancy operating across the UK and EU, driven by engineering excellence and a commitment to empowering individuals to create meaningful impacts.Our projects leverage the latest technology stacks and we adopt agile scrum methodologies to ensure efficiency and effectiveness in our deliverables.About YouAre you enthusiastic about the power of data and its potential to transform businesses? Do you thrive on making significant contributions in a short time frame? If so, you may find your perfect role with us.

QED AI is an innovative technology firm dedicated to enhancing public health and food security in Sub-Saharan Africa. By developing cutting-edge digital infrastructure and leveraging AI, we operate at the critical intersection of humanitarian aid and scientific research. Our initiatives include monitoring diseases such as HIV, malaria, and tuberculosis, as well as conducting nutrient analyses for crops and soils across various African nations. Our funding sources include prestigious philanthropic and governmental organizations such as the Global Fund, Gates Foundation, and the CDC.We are seeking a mid/senior Data Platform Engineer (Backend) to join our dynamic team in Warsaw. Ideal candidates will possess the following:Proven experience in designing and maintaining data pipelines utilizing ETL and/or ELT methodologies, with a critical eye on trade-offs rather than adhering to a single pattern.Solid understanding of data pipeline reliability, including concepts of idempotency, backfills, and the management of late or corrected data.Ability to structure data systems into distinct layers (e.g., raw, cleaned, curated) and articulate their varying functions and guarantees.Experience with making informed decisions between batch, micro-batch, and streaming methods based on latency, accuracy, and operational complexity.Strong foundation in software engineering principles, version control, writing clean code and tests, robust design, and a grasp of basic data structures and algorithms.Ability to conceptualize logical software architectures and communicate clearly, both verbally and in writing.Eagerness to engage with a diverse range of problems and technologies.Willingness to participate in regular design sessions, code reviews, and collaborate effectively within teams.Experience with UNIX-based or OSX-Darwin development environments.Working proficiency (≥C1) in English, both spoken and written (minimum typing speed of 45 words per minute).Interest in collaborating with individuals from different cultural backgrounds.Demonstrated emotional resilience and social intelligence.A genuine passion for your work and a generally optimistic outlook, while recognizing the value of constructive skepticism.Additional skills that are advantageous but not mandatory include:Understanding of analytical data modeling concepts, including hierarchical and dimensional modeling.

Join one of Poland's foremost telemedicine platforms as an AI Data Engineer, where you will be the architect of our analytics layer. Your role involves designing and implementing intelligent workflows that transform raw operational data into dynamic, self-validating reports. You will analyze business processes to determine which tasks can be automated using AI, then build and maintain these solutions. You'll be the driving force behind initiatives aimed at streamlining reporting, ensuring it aligns with AI capabilities, and shaping the future of our analytics.

Role overview CreatorIQ seeks a Senior Data Engineer in Warsaw with a focus on reporting. This role collaborates with teams across the company to strengthen data architecture and reporting systems. The work directly supports data-driven decisions at every level of the organization. What you will do Design and build data pipelines that power reporting and analytics Maintain and improve data quality throughout multiple systems Optimize the performance of reporting tools to ensure timely and accurate insights Impact Efficient analytics and reliable data are central to CreatorIQ’s business. The Senior Data Engineer’s contributions shape how teams access information and make decisions, directly influencing business outcomes.

Role Overview Miratech is hiring a Senior Data Engineer in Warsaw. This position focuses on designing and building data architectures and pipelines to support the company’s data initiatives. The Senior Data Engineer works closely with teams across the business to maintain data quality and improve accessibility, helping drive informed decisions throughout the organization.

Join our dynamic team as a Junior Data Engineer, where you will play a critical role in enhancing modern, real-time data processing capabilities. You will assist in transitioning existing data and ML workflows from batch processing to scalable streaming solutions. This position involves hands-on engineering, close collaboration with Data Scientists, and operational oversight for production data pipelines.Technology EnvironmentUtilization of advanced real-time data streaming technologies for ML model inference.Experience with distributed data processing frameworks that enable scalable, low-latency pipelines.Work with containerized workloads orchestrated in cloud-native environments.Employ monitoring and observability tools to ensure the reliability and performance of data pipelines.Engage with a Python-based ecosystem that supports ML model integration and lifecycle management.Key ResponsibilitiesTransform batch inference workflows into efficient streaming pipelines.Establish streaming semantics to replace batch windows, including micro-batching, windowing, and state management.Design Kafka topic structures, partitioning strategies, and consumer group patterns tailored for prediction workloads.Implement strategies for checkpointing, backpressure handling, and delivery guarantees.Package and version ML model artifacts for streaming jobs to facilitate safe rollouts and rollbacks.Optimize performance for throughput and latency through effective batching strategies and resource allocation.Deploy and manage streaming jobs with comprehensive monitoring and alerting.Integrate streaming outputs into downstream ETL/BI systems seamlessly.Collaborate with Data Scientists on CI/CD for streaming models while monitoring model performance and drift.Team & CollaborationEngage in a distributed delivery model closely coordinated with the central AI/BI team in Germany.Experience daily collaboration through MS Teams, Jira, and Confluence.Utilize Agile methodologies (Scrum/Kanban) within cross-functional squads.

Join Our Team as a CDP Data Engineer!At Software Mind, we are dedicated to crafting innovative analytical solutions for digital services. Our mission is to create a state-of-the-art data ecosystem utilizing a diverse array of technologies, particularly within the AWS cloud environment.We are seeking a talented individual to become an integral part of our team, focusing on the implementation of a Customer Data Platform (CDP). This role encompasses everything from installation and configuration to development, integration with our analytical and Data Governance tools, and ongoing maintenance.Your Contributions Will Include:Establishing and maintaining the CDP environment, including collectors, enrichers, and loaders.Integrating event data from multiple sources.Configuring and developing the CDP, including schema repositories.Building and sustaining data pipelines on AWS.Creating analytical models and integrating them with the data catalog.Collaborating on the development and implementation of user identification mechanisms (ID stitching, cross-device, cross-site, consent logic).Documenting processes and working closely with teams in Data Engineering, Data Management, Data Governance, IT, Privacy, and Analytics.