Data Engineering Intern - Analytics and AI

Rivian and Volkswagen Group Technologies brings together two automotive leaders focused on shaping the future of mobility. This partnership emphasizes electric vehicle advancements, operating systems, connectivity, and intelligent solutions. The combined team works to improve how vehicles and systems connect, use artificial intelligence, and maintain security, all with the goal of creating smarter and more sustainable transportation. Role overview The Data Engineering Intern - Analytics and AI will join an engineering group responsible for building and refining the data infrastructure behind analytics, AI projects, and operational insights. This internship blends data engineering, analytics, and applied AI, offering hands-on experience with production-scale datasets and cloud-based analytics platforms. The team focuses on creating reliable data pipelines, developing analytical models, and automating workflows using modern AI tools. What you will do AI-driven analytics development: Apply AI tools to design intelligent scenarios that make complex data requests easier, enabling teams to answer key business questions quickly. Creation of intelligence playbooks: Develop and document playbooks for recurring data needs, setting standards for analysis and data audits with AI-based methods. Pipeline engineering: Build and maintain ELT pipelines using Python and SQL to support core AI-driven processes. Analytics engineering: Help create data models that convert raw telemetry into clean, usable datasets, providing a trustworthy source of truth. System and performance optimization: Monitor and improve data platforms to ensure they remain reliable and efficient for delivering insights. Collaboration: Act as a technical bridge between Engineering and Analytics teams, supporting communication and teamwork. Location This internship is based in Belgrade.

Role Overview Better Collective is looking for an Analytics Engineer to join the Paid Media team in Belgrade. This role centers on building data models that help clarify and validate campaign results, making it easier for teams to act on insights. What You Will Do Develop data models that support campaign performance analysis Work closely with Paid Media and Marketing teams to understand their data needs Translate business questions into structured, documented models for daily use Who We’re Looking For Experience building and maintaining data models Strong collaboration skills, especially with marketing or media teams Enjoys solving complex business problems with data If you thrive on building clear, reliable models and want to make a direct impact on campaign success, Better Collective would like to hear from you.

About the Role Better Collective is looking for a mid-level Data Engineer focused on Paid Media to join the Data Engineering team in Belgrade, Serbia. This position centers on building and maintaining the data pipelines that support campaign performance analysis across advertising platforms. What You Will Do Ingest data efficiently from advertising platforms, including Meta and Google Ads Clean and transform incoming data for use in analytics and reporting Prepare datasets that enable Analytics Engineers to measure and improve campaign performance Tech Stack Dagster dlt Redshift AI-assisted development tools Your work will lay the groundwork for data-driven decisions in our Paid Media efforts, helping the analytics team deliver clear insights.

Join our dynamic team at SMG Swiss Marketplace Group as an AI Engineer. In this pivotal role, you will leverage cutting-edge technologies and methodologies to develop and implement AI solutions that drive innovation and enhance user experiences. You will work collaboratively with cross-functional teams to analyze complex data, design algorithms, and create intelligent systems that solve real-world problems.

Job OverviewJoin Wargaming's dynamic Analytics team as a dedicated Data Engineer. This role demands a proactive mindset, a passion for data, and a results-driven approach. As a Data Engineer, you will harness your technical expertise in high-load telemetry and data warehousing while collaborating effectively across teams.Your work will involve analyzing diverse product data, from financial metrics to detailed in-battle telemetry, capturing player actions, vehicle movements, and interface events. All insights are consolidated into a centralized data warehouse for near real-time analytics.Collaboration is key, as you'll work closely with the Data Warehouse team and a global community of over 50 analysts. This position offers the chance to thrive in a data-centric industry and leverage modern analytics technologies for tangible product outcomes.

P-1414 At Databricks, our mission is to revolutionize the entire data lifecycle—from ingestion to ETL, BI, and extending into ML/AI—through a unified platform. We envision a future where the traditional data warehouse architecture is transformed into a modern architectural paradigm known as Lakehouse (CIDR 2021 paper). This open platform harmonizes data warehousing with advanced analytics, addressing key challenges such as data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To realize this vision, Databricks is developing a cutting-edge (decoupled) query engine and structured storage system that aims to surpass specialized data warehouses in relational query performance while preserving the flexibility and robustness characteristic of general-purpose systems like Apache Spark™. Your contributions will be vital to this multi-year initiative. As a member of our team, you will design next-generation systems that set new benchmarks in the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization

JetBrains is hiring a Senior Product Manager focused on AI Analytics. This position centers on guiding projects that use artificial intelligence to improve user experience and support product growth. Role overview The Senior Product Manager will work closely with teams from different disciplines to shape and deliver AI-driven features. The goal is to ensure JetBrains products continue to set high standards in the industry. Key responsibilities Lead projects that apply AI analytics to enhance product capabilities Collaborate with engineering, design, and other teams to define and execute strategy Drive initiatives that improve user experience and support business growth Location This role is open in multiple cities, including Amsterdam, Belgrade, Berlin, Limassol, London, Madrid, Munich, Paphos, Prague, Warsaw, and Yerevan.

P-1415 At Databricks, our mission is to transform the data lifecycle by simplifying processes from data ingestion to ETL, BI, and extending to ML/AI through a unified platform. We envision a future where traditional data warehouse architectures are superseded by an innovative pattern known as the Lakehouse (CIDR 2021 paper), which merges data warehousing with advanced analytics. This paradigm shift addresses critical challenges like data staleness, reliability, total cost of ownership, data lock-in, and the limitation of use-case support. To realize this vision, we are developing a cutting-edge query engine and structured storage system designed to exceed the performance of specialized data warehouses in relational queries. We aim to preserve the expressiveness and robustness of general-purpose systems like Apache Spark™ to accommodate various workloads, including ETL and data science. Join us on this multi-year journey. As a member of our team, you will be involved in designing next-generation systems set to redefine industry standards in several key areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization Your Responsibilities: Clarify requirements and drive design decisions for ambiguous problems Create technical design documents and project plans Develop new features Mentor junior engineers Test, deploy to production, and monitor outcomes.

Role overview The Strategic Analytics and Insights Business Partner at NielsenIQ in Belgrade works closely with clients to support their business decisions. This position centers on providing data-driven recommendations that align with each client's objectives. What you will do Analyze client data using advanced analytics methods to identify trends and patterns. Break down complex results into practical, understandable insights. Advise clients on strategies to enhance performance and achieve their business goals.

Join us at Databricks, where we are driven by a passion for empowering data teams to tackle the most challenging issues globally — from transforming transportation to fast-tracking medical innovations. We pride ourselves on developing and maintaining the premier data and AI infrastructure platform, enabling our clients to harness deep data insights for business enhancement. Founded by engineers, Databricks is embarking on a transformative journey to create the leading Data Intelligence Platform. We are building on a solid foundation with the ambition to create significantly superior products. Our focus spans everything from the Storage Engine (data layout, encryption, caching, etc.) to the Query Engine (Vectorization, Query Optimization, etc.), with the goal of enhancing every component to offer our customers the most efficient, user-friendly, and secure data platform for all their data workloads. As a Software Engineer, you will be a pioneering member of our Belgrade site and contribute to our multi-year mission to realize our Lakehouse vision. You will engage in the complete development cycle and embody all core Databricks values: ownership, data-driven decision-making, teamwork, and customer obsession.

Join Databricks as we embark on a transformative journey to revolutionize the data lifecycle, from ingestion through ETL, BI, and into the realms of ML/AI, all within a unified platform. Our vision is to transition from traditional data warehouse architectures to the innovative Lakehouse paradigm, as detailed in the CIDR 2021 paper. This new architecture addresses critical challenges such as data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.At Databricks, we are developing the next generation of decoupled query engines and structured storage systems designed to surpass specialized data warehouses in relational query performance. Our goal is to maintain the expressiveness and robustness of general-purpose systems, like Apache Spark™, to accommodate diverse workloads, ranging from ETL to advanced data science applications. You will play an essential role in this multi-year endeavor.As a valued member of our team, you will be tasked with designing cutting-edge systems that leapfrog current state-of-the-art technologies in the following areas:Query compilation and optimizationDistributed query execution and schedulingVectorized execution engineData securityResource managementTransaction coordinationEfficient storage structures (encodings, indexes)Automatic physical data optimization

Join the Smallpdf Team!At Smallpdf, we pride ourselves on being pioneers in the realm of digital document solutions, empowering millions around the globe to enhance their workflows through our innovative and user-friendly tools. Our mission is to transform document management and elevate productivity for everyone.With a diverse team of over 110 professionals hailing from 34 different nationalities, and offices in Zurich, Belgrade, and Barcelona, we’re committed to making document handling easier for over a billion users across our web, mobile, and desktop platforms. Our dedication to excellence has earned us the trust of industry leaders such as Lufthansa, UBS, and Swiss Life.Your RoleWe are on the lookout for a highly skilled Senior Data Platform Engineer to join our team, focusing on the core components of our data infrastructure. Our platform processes more than 100 million events daily and supports a vast Redshift data warehouse that underpins everything from organization-wide reporting to document analytics and A/B testing.In this pivotal role, you will design and maintain robust ingestion pipelines, ensure optimal performance of our Redshift warehouse at scale, and deliver high-quality data for our dbt transformation layer. You will also be responsible for managing the systems that provide data back to the business.Collaboration is key, as you will work closely with seasoned data professionals and stakeholders across the organization to extract valuable insights from complex datasets.The ideal candidate will possess strong expertise in Redshift, Kubernetes, Python, and SQL, and be comfortable managing and owning critical applications and infrastructure. Experience in environments of similar scale and complexity will be advantageous.What You Will Work OnMaintain the health and performance of our Redshift and Kubernetes (EKS) clusters, foundational to our data delivery.Oversee the ingestion of terabytes of near-real-time events from our products, backend systems, and third-party integrations—vital for our reporting, A/B testing, and operational monitoring.Collaborate with both technical and non-technical team members to establish and maintain data ingestion and infrastructure for our applications.Own the components that drive our data applications (such as Looker and Growthbook), ensuring their reliability, scalability, and self-serve capabilities for internal users.Enhance the developer experience around dbt by developing tools, templates, and CI workflows.

About UsAt Lavendo, we are a forward-thinking Enterprise SaaS company dedicated to pioneering data privacy and security solutions. Our cutting-edge Data Privacy Governance platform utilizes patented AI technology to transform how Fortune 100 organizations manage customer data protection. We ensure compliance with essential regulations such as GDPR and CCPA, providing unified consent and preference management APIs that facilitate efficient data handling across diverse channels.Our mission is to advocate for responsible data protection legislation, safeguard customer data, uphold individual privacy rights, and foster trust between businesses and consumers through enhanced transparency.Your RoleAs a Technical Project Manager, you will spearhead the implementation of our AI-driven data privacy compliance solutions. Collaborating with enterprise clients and internal teams—including product, engineering, and customer support—you will ensure the timely delivery of projects and exceptional client satisfaction. Your coordination of project activities, timeline management, and proactive issue resolution will be vital in maintaining client alignment and achieving successful outcomes.Key ResponsibilitiesLead the end-to-end implementation of our products for clients.Facilitate daily communication between clients and development teams, ensuring accountability and alignment.Oversee developer activities, track tasks, monitor project status, and guarantee quality and deadlines are met.Act as the primary delivery contact, reporting directly to the VP of Client Delivery.Provide product expertise and serve as a trusted advisor throughout the implementation process.Identify and resolve issues proactively to keep projects on track.Maintain consistent communication with clients, developers, and senior management.Develop and manage project tracking documentation and status reports.

Rivian and Volkswagen Group Technologies combine the strengths of two major automotive players to build technology for electric vehicles. Their joint team develops everything from operating systems to cloud connectivity, aiming to advance software-defined vehicles on a global scale. With a strong background in connectivity, artificial intelligence, and security, the company is shaping a more intelligent and connected future for mobility. Role overview This Software Engineering Intern - Quality Assurance position is part of the Navigation and Mapping Quality Assurance team in Belgrade. The internship focuses on testing advanced mapping software that supports electric vehicles. Both manual and automated testing methods are used to maintain high software standards. What you will do Test new and existing mapping software features to help ensure quality Identify software issues and confirm that fixes resolve them Work with teams from different disciplines to deliver dependable solutions Requirements This role suits candidates interested in software testing and quality assurance for automotive technology. Collaboration and attention to detail are important for success in this internship.

Join Databricks as a Senior Applied ML/AI Engineer, where you will leverage cutting-edge machine learning and optimization algorithms to enhance the functionality and performance of our AutoML products and other user-facing solutions. Your expertise will drive advancements in classification, regression, forecasting, and recommendation systems, utilizing both traditional methods and deep learning techniques. The Applied ML/AI team tackles some of the most challenging and fascinating issues businesses face today, aiming to maximize the efficiency and effectiveness of Databricks’ infrastructure and products.Your Impact:Collaborate within a small, skilled team of engineers and data scientists to build features and implement end-to-end systems.Influence the direction of our applied ML initiatives by partnering with engineering and product teams across the organization.Lead the design and deployment of advanced ML/AI models and systems that enhance Databricks’ product capabilities and operational performance.Create and maintain robust, scalable ML infrastructure, including components for model training and serving, ensuring seamless integration of AI/ML solutions into production environments.Research and develop innovative modeling techniques in machine learning for forecasting.Engage with the broader AI community through conference presentations and contributions to open-source projects, establishing Databricks as a leader in the industry.

Join Tenstorrent as a Senior Software Engineer specializing in AI Compiler development. In this role, you will collaborate with a talented team to create cutting-edge compiler technologies that enhance AI performance.

Rivian and Volkswagen Group Technologies brings together two major automotive innovators to shape the future of software-defined vehicles. The team focuses on advanced operating systems, zonal controllers, and cloud connectivity, aiming to raise the bar for electric vehicle technology worldwide. Collaboration draws on deep experience in connectivity, artificial intelligence, and security to deliver vehicles that are smarter, more connected, and more sustainable. Role overview The Software Engineering Intern - Connected Systems will work on distributed systems that power in-vehicle features and link them to the Cloud Gateway and its supporting infrastructure. This role involves helping design, develop, and maintain core services that ensure these systems operate reliably and efficiently. What you will do Support the development and upkeep of distributed systems for connected vehicles Assist in designing and building core services that enable in-vehicle and cloud communication Contribute to efforts that keep these systems stable and reliable Location This internship is based in Belgrade.

P-1416 At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems — from transforming transportation to accelerating medical innovations. Our mission is realized through the creation and management of the world's leading data and AI infrastructure platform, enabling our clients to harness deep data insights for enhanced business performance. Founded by engineers, Databricks has embarked on a multi-year journey to develop the premier Data Intelligence Platform. We are enhancing a strong foundation to create significantly improved products. From the Storage Engine (data layout, encryption, caching, etc.) to the Query Engine (Vectorization, Query Optimization, etc.), we aim to reimagine every component to deliver the fastest, most user-friendly, and secure data platform for all workloads. As a software engineer, you will be a pivotal member of the Belgrade site, contributing to the foundational team dedicated to realizing our Lakehouse vision. You will engage in the complete development cycle and embody all core Databricks values (ownership, data-driven, teamwork, customer-centric).

P-1415 At Databricks, we are dedicated to empowering data teams to address some of the most challenging issues facing the world today — from revolutionizing transportation to expediting medical advancements. We achieve this by developing and maintaining the premier data and AI infrastructure platform, enabling our customers to leverage deep data insights for business enhancement. Founded by engineers, Databricks is embarking on a multi-year mission to create the most advanced Data Intelligence Platform. Building upon a solid foundation, our ambition is to significantly improve our product offerings. From the Storage Engine (data layout, encryption, caching, etc.) to the Query Engine (vectorization, query optimization, etc.), we aim to reevaluate every component to deliver the fastest, most user-friendly, and secure data platform for all workloads. As a senior software engineer, you will be a pivotal member of not just the Belgrade site but also the foundational team driving our multi-year Lakehouse vision. You will participate in the complete development cycle and embody all fundamental Databricks values (own it, data-driven decision making, teamwork, customer-centricity).

Aghanim is seeking a highly motivated AI Engineer to join our innovative team. In this role, you will design and develop production-ready multi-agent large language model (LLM) systems.Your primary focus will go beyond simple coding; you will delve into understanding user needs and building systems that consistently meet these expectations.This position leans more towards systems engineering and architecture rather than traditional machine learning.You will have the autonomy to explore our API offerings and product workflows, creating agent-based solutions that are intricately connected with our platform.