Staff Data Platform Engineer

Join inetum2 as a Data Scientist, where you will leverage your analytical expertise to drive data-driven decision-making and contribute to innovative projects. Collaborate with cross-functional teams to extract insights from complex datasets and develop predictive models that can enhance business outcomes.

Role overview Brillio is looking for a Senior Data Scientist to join the team in Bucharest, Romania. This role focuses on using data analytics and machine learning to support business goals and improve outcomes. What you will do Work with cross-functional teams to develop predictive models and algorithms Apply advanced analytics to solve business problems and inform strategy Support decision-making and help improve operational efficiency through data-driven insights Location This position is based in Bucharest, Romania.

About BrillioFounded in 2014, Brillio stands at the forefront of digital transformation. We harness the power of cutting-edge technologies including Cloud, AI, Mobile, and IoT to empower leading companies globally, enabling them to fully leverage digital advancements. With a diverse workforce of over 6,000 professionals across 15 locations in 6 countries – the USA, Canada, Mexico, the UK, Romania, and India – we have been recognized consistently by the Great Place To Work® institute across these nations for our strong foundational values and commitment to an employee-centric culture.Brillio RomaniaOur Bucharest office is part of a vibrant and rapidly growing team of over 250 dedicated colleagues across the country. Brillio Romania is committed to delivering exceptional client satisfaction and maintaining a fast-paced growth trajectory. We prioritize creating a positive work environment where our employees can excel and cultivate long-lasting careers, fostering a sense of stability and commitment that benefits both our team and our esteemed clients.Join Us and Accelerate Your Career at Brillio!Role OverviewWe are looking for highly skilled AI Acceleration Engineers who will lead the adoption and industrialization of AI tools (such as GitHub Copilot, prompt engineering, and agent workflows) across various engineering teams. This role embodies a unique blend of hands-on AI capability development and direct involvement with Scrum teams to enhance software development life cycle (SDLC) productivity through AI integration. You will collaborate with Microsoft AI specialists to develop prompts, agents, and workflows, while simultaneously integrating within engineering squads to ensure effective, correct, and consistent utilization of AI tools.

About BrillioFounded in 2014, Brillio is a leader in digital transformation, leveraging cutting-edge technologies such as Cloud, AI, Mobile, and IoT. We partner with top-tier companies globally, empowering them to harness digital advancements effectively. Our diverse workforce of over 6,000 professionals operates in 15 locations across 6 countries, including the USA, Canada, Mexico, the UK, Romania, and India. We are proud to be consistently recognized as a Great Place To Work® across these regions for our strong values and employee-centric culture.Brillio RomaniaAt Brillio Romania, we are a vibrant and fast-growing team of more than 250 colleagues, with offices in Cluj, Oradea, and Bucharest. Our rapid expansion reflects our steadfast commitment to client satisfaction. We believe that our success is driven by the innovative contributions of our team members, and we prioritize creating a positive work environment that allows our colleagues to flourish and build fulfilling careers.Accelerate YOUR Career at Brillio!The Data Scientist will be responsible for developing and deploying advanced analytics and machine learning solutions on Azure, with a particular emphasis on image processing and computer vision applications. This role requires a blend of modeling, experimentation, and production deployment.

About BrillioFounded in 2014, Brillio has emerged as a leader in digital transformation. We leverage cutting-edge technologies such as Cloud, AI, Mobile, and IoT to empower prominent companies globally. With a workforce exceeding 6,000 individuals across 15 locations in 6 countries including the USA, Canada, Mexico, the UK, Romania, and India, we have received accolades from the Great Place To Work® Institute for our strong foundational values and commitment to an employee-centric culture.Brillio RomaniaOur Bucharest office is part of a vibrant and expanding team of over 250 professionals across the country. Our rapid growth reflects our dedication to client satisfaction and innovation. At Brillio Romania, we prioritize creating a supportive work environment where our employees can thrive, build meaningful careers, and contribute to the success of our clients.Join Us and Accelerate Your Career at Brillio!Role SummaryAs a Senior Data Scientist, you will be responsible for developing and implementing sophisticated analytics and machine learning solutions on Azure, focusing specifically on image processing and computer vision applications. This position integrates modeling, experimentation, and deployment into production environments.

UiPath creates enterprise automation software that enables organizations to work more efficiently. The team in Bucharest values curiosity, initiative, and a collaborative approach. The Senior Principal Applied Scientist role is ideal for those who enjoy both the theoretical and practical sides of machine learning. Role overview This position bridges research and product development. The Senior Principal Applied Scientist will design, optimize, and deploy machine learning models with a focus on scalability and reliability. A strong interest in computer science and a drive to solve real-world problems are central to this role. What you will do Develop and refine advanced machine learning models for challenging problems. Review academic research, propose improvements, and implement and test new models. Explore user interfaces that help make machine learning models more accessible. Conduct benchmarks, analyze results statistically, and communicate findings to the team. Requirements Proficiency in Python and experience with modern machine learning libraries such as PyTorch, TensorFlow, or JAX. Background in implementing models from academic sources (including conferences like ICML, ICLR, or NeurIPS). Strong quantitative foundation, including linear algebra, probability, and statistics. Understanding of key data structures (lists, vectors, stacks, heaps) and algorithms, with attention to time and memory complexity. UiPath encourages applicants from diverse backgrounds and experiences. If the role interests you, consider applying even if not every qualification is met.

Discover Your Future at UiPathAt UiPath, we harness the extraordinary potential of automation to revolutionize the way the world operates. Our mission is to develop top-tier enterprise software that empowers this transformation.We seek individuals who are not only curious and driven but also generous and authentic. If you thrive in a dynamic, rapidly evolving environment and are passionate about making a difference—both in your team and the world—then we want to hear from you!Does this resonate with you?Your RoleAs an Applied Scientist, you will bridge the gap between innovative research and practical application. Your responsibilities will include developing, enhancing, and deploying machine learning models at scale. We are looking for individuals who are not only enthusiastic about machine learning and computer science but also eager to apply theoretical concepts to solve real-world challenges with scalable, efficient, and reliable solutions.We value kindness, motivation, integrity, and accountability in our team members. If you are ready to excel in a high-energy machine learning environment, we encourage you to apply!Your Responsibilities at UiPathDevelop and refine cutting-edge machine learning models to address intricate challenges.Conduct literature reviews, suggest enhancements to models, and implement and validate new methodologies.Consider optimal human-computer interaction designs to ensure accessibility of machine learning technologies.Execute regular performance evaluations and statistical analyses, drawing insights to showcase the results of your research-driven optimizations to your colleagues.QualificationsProficiency in Python and familiarity with leading ML libraries such as PyTorch, TensorFlow, or JAX.Experience implementing models from academic publications including ICML, ICLR, NeurIPS, etc.Strong quantitative skills with a solid grounding in linear algebra, probability, and statistics.Comprehensive understanding of fundamental data structures (lists, vectors, stacks, heaps) and algorithms (sorting, searching) along with their time and memory complexity.If you believe you are a good fit for this position, even if you don't meet all the criteria, we encourage you to apply. We recognize that talent comes in various forms, and passion is invaluable.

Join our dynamic team at Endava as a Data Architect. In this pivotal role, you will be responsible for designing and implementing data management strategies that facilitate the efficient handling of data across various platforms. Your expertise will guide the organization in making data-driven decisions, ensuring robust data governance, and optimizing data architecture for scalability and performance.

Location: Bucharest (hybrid schedule: 2 days per week onsite) Role Overview Showpad is seeking a Data Architect to help shape the future of our analytics and reporting platform. This platform powers embedded analytics used by thousands of customers every day. The Data Architect will design foundational systems that support scalable, resilient data solutions, enabling clients to make informed decisions about revenue effectiveness. This role centers on building out our Medallion architecture, star schemas, and strong data governance frameworks. The goal: create a platform that is reliable and user-friendly, so teams can build high-quality models quickly and independently. Main Responsibilities Architectural Stewardship: Collaborate on the vision for our data lake, entity-relationship models, and data catalog (Glue/Lake Formation). Serve as the Data Architect for Medallion architecture and star schemas. Embedded Analytics Leadership: Address the unique needs of customer-facing data, including data isolation for multi-tenant environments, sub-second query latency, and meeting SLAs for white-labeled analytics. Team Enablement: Provide tools, standards, and mentorship to cross-functional teams, supporting the creation of high-quality downstream data models. Data Governance & Quality: Define data contracts, schema evolution, and lineage practices to ensure data remains a trusted source of truth. Strategic Collaboration: Partner with Product and Engineering leadership to turn complex business requirements into actionable, cost-effective technical roadmaps. System Evolution: Lead the adoption of modern table formats (Apache Iceberg) and high-performance analytics engines (Clickhouse/OpenSearch). Technology Stack Showpad’s data platform is built on AWS, with a focus on performance and cost efficiency. Key tools include: Orchestration & Transformation: dbt, Glue Jobs, AWS ECS Fargate

Join inetum2 as a Business Analyst specializing in Data Warehousing. In this role, you will leverage your analytical skills to enhance our data management strategies and support business intelligence initiatives.

Showpad is hiring a Data Architect in Bucharest to help shape the core of our data platform. This hybrid role requires working onsite two days per week. The focus is on building and evolving the architecture that powers analytics and reporting for thousands of customers who rely on Showpad to drive revenue decisions. Key responsibilities Design and implement Medallion architecture and star schemas to structure and optimize data flows Set up data governance frameworks to maintain quality, consistency, and security Build a platform that allows other teams to create their own 'Gold' tier data models independently Contribute to the long-term vision for scalable and resilient analytics infrastructure Location and schedule This position is based in Bucharest with a hybrid schedule: two days per week in the office. Impact The systems developed in this role form the backbone for data-driven decision making at Showpad and for our customers. The work accelerates analytics development and gives teams fast, reliable access to the data they need.

Life at UiPathAt UiPath, we harness the transformative potential of automation to revolutionize the way the world functions. Our dedication to delivering top-tier enterprise software empowers organizations to realize this potential.We thrive on curiosity, self-motivation, generosity, and authenticity. We seek individuals who are passionate about contributing to a dynamic, fast-paced growth company and who care deeply about their colleagues, UiPath, and our broader mission.Could you be the one?Your MissionIn the role of Principal Data Engineer, you will be instrumental in shaping and advancing our cutting-edge data platform. This senior individual contributor position carries significant strategic impact, architectural ownership, and expectations for leadership and initiative. Our data ecosystem leverages Microsoft Fabric, and we seek someone who can champion best practices, scalability, and sustainable platform evolution. While prior Fabric experience is a plus, extensive experience with similar modern cloud data platforms is essential. This position transcends mere implementation; it demands an innovator who challenges norms, steers technical direction, and elevates the engineering standards across the team.Your Responsibilities at UiPathLead and enhance the architecture of our modern data platform, specifically within a Fabric-based lakehouse environment.Spearhead complex, cross-functional data initiatives from conception to completion with minimal supervision.Set and uphold engineering standards, modeling best practices, and performance optimization strategies.Design and refine scalable ELT pipelines and dimensional data models.Ensure platform reliability, governance, and a balance of cost-performance.Assess and integrate new tools and architectural enhancements.Serve as a technical leader and mentor within the data organization.Collaborate with Finance, Sales, and other stakeholders to translate business strategy into scalable data solutions.What You Bring to the TeamCore Requirements:-7+ years of experience in data engineering or data platform roles.- Expert SQL proficiency (required) — advanced transformations, optimization, scalable modeling.-Solid working knowledge of Python and/or PySpark.- Proven ability to design and manage modern data solutions.

Join Our Team as a Photo Data Collector!Terry Soot Management Group (TSMG) specializes in field data collection, founded in 2017 in Europe. Our mission is to provide essential data where automation falls short. We meticulously count features, capture images, record videos, and document speech to ensure you have the detailed insights necessary for informed decision-making. Our dedicated field teams span across Europe and North America, always ready to embrace new challenges.Project OverviewWe are seeking a passionate Photo Data Collector to help gather images of agricultural fields. This initiative supports farmers in their transition to regenerative agriculture, enhancing both resilience and profitability. The project utilizes a smartphone and an application, and comprehensive training will be provided.As a data collector, you will be assigned specific areas to photograph. The project duration is anticipated to last approximately two weeks.We are looking for candidates who possess a vehicle (mileage compensation provided), have a good understanding of the local area and traffic patterns, and exhibit high levels of responsibility and reliability.

Join Ramboll as a Global Data Regulation Business Partner in Bucharest, where you will play a pivotal role in navigating the complex landscape of data regulations. Your expertise will guide our organization in ensuring compliance and strategic alignment with global data governance standards.

About SAMYSAMY is a leading global network of independent marketing and communications agencies dedicated to harnessing research, technology, strategy, creativity, and performance to provide impactful, data-driven solutions that foster brand growth. With a diverse team of over 1,000 professionals across 15+ offices in 18 countries and servicing 55 markets, we proudly support over 100 prestigious clients with award-winning digital campaigns that span the entire marketing spectrum.Your MissionWe are in search of a passionate Data Research & Insights Analyst to enhance our dynamic team. In this pivotal role, you will utilize data to generate actionable insights, inform innovative strategies, and optimize campaign effectiveness. The ideal candidate is analytical, inquisitive, and adept at identifying trends that shape creative and strategic decisions.Key ResponsibilitiesData Analysis & Insights: Convert extensive datasets into clear, impactful insights.Evaluate campaign metrics to discern performance trends and identify optimization opportunities.Establish and uphold benchmarks for success against industry standards and competitors.Social Listening & Market Research: Employ social listening tools (e.g., Brandwatch, Sprinklr, Synthesio, NetBase, Socialbakers) to track consumer dialogues, market trends, and competitor activities.Conduct research to assist account management and strategic planning teams with trend analyses and market evaluations.Remain updated on the latest industry innovations and developments to enhance strategic direction.Reporting: Generate quarterly performance reports focusing on brand metrics, category trends, and competitive insights.Collaborate with cross-functional teams to develop actionable recommendations that guide content creation, campaign messaging, and budget allocation.

 YOUR MISSIONJoin our dynamic Brand Ads team at Glovo, where you will collaborate with key brand partners to enhance their visibility and performance on our platform. You'll engage in impactful client work, conduct internal performance analyses, and contribute to strategic pitches, all aimed at driving revenue growth. YOUR JOURNEY AWAITSDevelop and manage a diverse portfolio of brand partners by optimizing ongoing campaigns and uncovering new opportunities for visibility and performance enhancement.Generate insightful performance reports and analyze campaign outcomes, effectively communicating the business impact of Glovo Ads to both internal and external stakeholders.Assist in the creation of pitches, proposals, and presentations that aid in converting prospective brands into active advertisers.Utilize internal tools and data analytics to pinpoint high-potential brands that would thrive with Glovo advertising.Proactively propose innovative campaign ideas and promotional strategies that resonate with brand objectives and align with Glovo's seasonal focus.Collaborate across departments (sales, operations, content) to ensure seamless campaign execution in line with partner goals.Manage day-to-day interactions with brand partners, establishing yourself as a trusted contact over time.Work closely with the Brand Ads Manager to strategize, monitor, and achieve quarterly revenue targets.

Join Endava as a Senior Data Engineer, where you will leverage your expertise in Python and Databricks to drive innovative data solutions. In this role, you will collaborate with cross-functional teams to design, implement, and optimize data pipelines that support our clients' needs. Your technical skills will be vital in ensuring data integrity and performance, ultimately enhancing the decision-making process for our clients.

About WPP MediaWPP is a leading growth partner for the world's foremost brands. By harnessing exceptional talent, reliable data, and strategic partnerships—all empowered by the innovative WPP Open marketing platform—we assist clients in navigating change, seizing opportunities, and achieving transformational growth.WPP Media operates as WPP's AI-powered media unit, uniting media, data, and partnerships to provide scalable creative personalization. Through WPP Open and enhanced by Open Intelligence, we ensure clients understand precisely how their media investments are performing.For further details, visit wppmedia.com.The Research & Data Analyst is a crucial member of WPP Media's Data & Analytics team, focusing on the thorough analysis, processing, and automation of various data sources. This role emphasizes the integration of AI tools, providing essential support while collaborating with internal stakeholders, external clients, and strategic partners to deliver data-driven insights that enhance and inform decision-making processes across the organization and for our clients.

About the RoleIn today's digital landscape, critical business applications face unprecedented cybersecurity threats. Onapsis addresses these vulnerabilities by delivering comprehensive cybersecurity solutions tailored for essential applications. Supporting nearly 30% of the Forbes Global 100, we empower organizations to navigate risks associated with their SAP and Oracle systems, whether in the cloud, on-premises, or in hybrid environments.We are on the lookout for a Senior Data Engineer to join our innovative and mission-driven team. This position is perfect for seasoned data engineers who have a solid background in designing scalable data pipelines and utilizing cloud technologies to enhance cybersecurity solutions. You will play a crucial role in developing robust ETL frameworks, optimizing data platforms, and improving our clients' capabilities in threat detection, response, and remediation.Your Responsibilities and Impact:You will collaborate closely with our Principal Engineers to assess, scope, propose, and implement features that meet business requirements aimed at safeguarding our clients. Your contributions will be vital in establishing the technical foundation for new product offerings. Additionally, you will partner with Engineering and DevOps teams to ensure the delivery of high-quality products while adhering to security best practices alongside IT professionals.