Software Engineer - Distributed Data Systems at Databricks | Belgrade, Serbia

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.

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.

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.

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-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).

Join TechBiz Global, a premier recruitment service provider catering to top-tier clients. We are on the lookout for an enthusiastic and meticulous Media Team Lead to spearhead one of our clients' teams. If you are seeking a thrilling opportunity to advance your career in an innovative setting, this role could be your ideal match.Key Responsibilities:Guide and motivate a team of Media Buyers in a vibrant, fast-paced atmosphere.Build and nurture relationships across various channels with effective leadership and communication skills.Leverage data analytics to uncover opportunities and steer strategic actions for the team.Inspire the team to meet and exceed monthly expenditure and revenue targets.Collaborate with internal stakeholders to boost productivity and enhance outcomes.

About WPP MediaWPP is a trusted growth partner for the world's leading brands, leveraging exceptional talent and trusted data to help clients navigate change and achieve transformational growth through our pioneering marketing platform, WPP Open.WPP Media serves as WPP's AI-driven media unit, integrating media, data, and partnerships to deliver creative personalization at scale. With WPP Open and powered by Open Intelligence, clients can gain clarity on their media investments.For more information, visit wppmedia.com.Position Overview: As an Account Executive, you will be a vital member of our agency client team, responsible for ensuring timely and accurate invoicing and budget reporting processes, as well as managing our internal booking system.Your role will involve providing operational support to Account Managers, with success measured by the delivery of media KPIs, adherence to deadlines, and the precision of deliverables contributing to overall client satisfaction.

Speechify seeks a Software Engineer specializing in Data Infrastructure and Acquisition to join the team in Belgrade, Serbia. This position involves creating and maintaining systems that bring together information from many sources, directly shaping the way users interact with Speechify’s products. Key Responsibilities Design and build data infrastructure that meets product requirements Integrate data from multiple sources into established systems Work on projects aimed at improving user experience and strengthening platform performance Location This role is based in Belgrade, Serbia.

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.

Join Gambling.com Group (Nasdaq: GAMB), a leader in the online gambling industry, renowned for our award-winning marketing and sports data services. Our extensive portfolio includes prominent websites, such as Gambling.com and Bookies.com, along with iGaming-focused platforms like Casinos.com, BonusFinder.com, and Freebets.com.As our data ecosystem undergoes rapid transformation, we are on the lookout for a skilled Senior Data Architect to guide the evolution of our data infrastructure. This is your opportunity to develop scalable and efficient systems that offer profound insights into player interactions, financial reporting, and cross-sectional business analytics.Role Overview:In your role as a Senior Data Architect, you will lead the redesign and reconstruction of our data architecture, catering to the specific requirements of our business teams. You will transition from traditional manual file processes to a sophisticated, automated ETL pipeline, leveraging a Medallion architecture (comprising Bronze, Silver, and Gold layers) integrated with a Hub-Spoke model for centralized data management and distributed accessibility. Your expertise in technologies such as Snowflake and Airflow will ensure seamless data ingestion from varied sources, encompassing finance, operations, and other business verticals. Our aim is to forge a unified perspective of player and operator interactions across multiple sites, empowering advanced analytics, reporting, and strategic decision-making.Key Responsibilities:Lead the comprehensive redesign of existing data architecture, migrating from manual file handling to a robust, scalable system utilizing Medallion architecture principles for data layering and quality assurance.Design and implement a Hub-Spoke model to centralize core data assets (e.g., player and operator profiles) while facilitating spoke systems for vertical-specific analytics, ensuring data consistency and accessibility.Revamp ETL processes using Airflow for orchestration, automating data pipelines to handle ingestion from various sources, including real-time player activity, operator metrics, and cross-site journeys.Construct pipelines for data ingestion from all business verticals (e.g., finance, marketing, operations), delivering comprehensive reporting for finance teams and expanding support for holistic player/operator views.Focus on architecting iGaming-specific solutions centered on player and operator data, monitoring journeys across sites, ensuring compliance with industry regulations, and enabling personalized recommendations.Optimize the use of Snowflake for data warehousing, applying best practices to enhance performance and scalability.

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

As a Data Partnerships Manager at Telesign, you will play a pivotal role in managing and enhancing our partnerships with data providers. You will be responsible for identifying opportunities to expand our data ecosystem, negotiating agreements, and ensuring the seamless integration of data solutions that drive business growth and customer satisfaction.

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.

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.

Join Crossmark, Inc. as a Data Collection Associate in Belgrade, MT, and play a vital role in gathering and analyzing data that drives critical business decisions. If you have a keen eye for detail and a passion for data, this opportunity is for you!

Join Our Team as a Senior Game Data Analyst!Wargaming is seeking a passionate and driven Senior Game Data Analyst to enhance our World of Tanks analytics team. In this pivotal role, you will dive deep into player behavior and in-game events, analyzing a wealth of data ranging from economic and financial metrics to detailed combat statistics, shot coordinates, and interface telemetry. Your insights will be crucial for informing our product decisions and improving player experiences.As part of the WoT Product Team, you will collaborate closely with both the Data Warehouse team—responsible for data infrastructure and reporting—and a global network of over 60 analysts within the Wargaming Global Analyst Network.

At Databricks, we are dedicated to empowering data teams to tackle the world’s most challenging problems—whether it's revolutionizing transportation or advancing medical innovations. Our mission is to create and operate the leading data and AI infrastructure platform, enabling clients to harness deep data insights for improved business outcomes.Founded by visionary engineers, Databricks is on an exciting multi-year journey to develop the ultimate Data Intelligence Platform. We are building upon a robust foundation with the ambition to create significantly better products. Our aim is to reimagine every component to deliver the fastest, easiest, and most secure data platform suited for all data workloads.As a Backend Software Engineer, you will become a key member of not only the Belgrade site but also a pivotal team in our quest to realize the Lakehouse vision. You will engage in the complete development cycle and embody the core values of Databricks.

Join Perplexity as a Product Data Scientist, where you will play a pivotal role in advancing our cutting-edge search technologies. Your expertise in analyzing user behavior will be instrumental in extracting valuable insights from A/B testing data, enabling us to refine our products and enhance user satisfaction.Key ResponsibilitiesGenerate actionable data-driven insights from user interactions to shape our product strategy and promote user adoption.Develop and validate hypotheses by designing, executing, and interpreting A/B testing methodologies.Identify key performance metrics and create visual dashboards for effective tracking and reporting.Architect new data pipelines to enhance ranking quality, including the discovery of new signals, metric production, and the development of data labeling pipelines utilizing human and LLM feedback.