Senior Data Engineer - Internal Measurement

At Samba TV, we are at the forefront of transforming the global viewing experience through cutting-edge technology and proprietary data. Our mission is to enhance how audiences connect with their favorite shows and movies while providing advertisers with the tools to effectively engage and measure viewer reach across all devices. With a unique cultural perspective influenced by our extensive global data and AI insights, we are excited to drive innovation in the media landscape.We are seeking a passionate and experienced Senior Engineering Manager to lead our Data Delivery team. This role encompasses overseeing both a frontend platform team and a data delivery team, both of which are currently engaged in significant phases of platform evolution that promise high-impact results.In this position, reporting to the Senior Director of Engineering, you will serve as a second-line manager, guiding Engineering Managers and senior contributors across both teams. You should bring over a decade of engineering experience, along with the capability to establish operational objectives and policies for your department. You will be responsible for driving strategic initiatives across multiple workstreams, ensuring outcomes that have a meaningful impact on the broader business landscape.

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.

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 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.

Nearmap Ltd. is seeking a Senior Data Engineer to join its Engineering & Technology group in Warsaw. This team develops and refines systems that help organizations make better use of location data. Role overview The Senior Data Engineer will design and build data solutions tailored to business needs. The position involves maintaining data quality, ensuring process integrity, and collaborating with teams across the company to deliver actionable insights. What you will do Create and implement data solutions that align with business goals Monitor and enhance data quality and the reliability of data processes Partner with teams throughout Nearmap to provide valuable insights from data Requirements This position requires strong experience in data engineering, a commitment to quality, and an interest in supporting projects that apply location data in innovative ways.

Senior Software Engineer, Data Foundations ABOUT THE ROLE At Peloton, we view Data as a Product—a vital asset that drives every member interaction and influences business decisions. Our Datastores team is committed to offering a dependable, secure, and high-performing data persistence layer for application services throughout the organization. Our core principles include: 1. Safeguard the data, 2. Optimize for scalability, speed, and reliability, and 3. Minimize manual effort. We are seeking a Senior Software Engineer with extensive experience in constructing and managing data-intensive systems to join our Datastores team. This position is perfect for a backend engineer who has developed and maintained production systems heavily reliant on databases, caching layers, and data pipelines, and who is eager to advance their knowledge in scalable, cloud-native data infrastructures. You will collaborate at the intersection of application engineering and data platform reliability, working alongside service teams to enhance the storage, access, scalability, and observability of data across Peloton’s ecosystem. YOUR DAILY IMPACT AT PELOTON Your responsibilities will include: Designing, building, and maintaining backend systems that depend on scalable and highly available data persistence layers. Collaborating with service teams to refine database design, enhance query performance, and optimize data modeling. Contributing to automation efforts surrounding infrastructure provisioning using tools like Terraform and Backstage, while improving developer experience by creating self-service tools for databases and caching systems. Focusing on observability, performance insights, and autoscaling strategies for production datastores. Participating in architectural discussions regarding multi-regional data persistence and global scalability. This role merges hands-on backend engineering with significant exposure to cloud data systems and platform reliability challenges. WHAT YOU BRING We are looking for proficient backend engineers who are data-centric—those who have built systems where data performance, reliability, and modeling are crucial. 5+ years of software engineering experience in developing production backend systems. Strong familiarity with relational databases such as PostgreSQL or MySQL, including schema design, indexing, and query optimization. Experience with NoSQL datastores like DynamoDB, Redis, Elasticsearch, or Memcache. Exposure to data pipelines, event-driven architectures, and cloud technologies.

Join our innovative team as a Senior Data Engineer and play a pivotal role in enhancing our product platform. We are looking for an experienced professional with a strong background in data engineering to design, implement, and maintain robust data solutions.Main Responsibilities:Architect and develop data solutions that elevate our product platform.Define and refine data models tailored for analytical, operational, and predictive applications.Engage in critical data architecture and technical infrastructure decisions.Guarantee high quality, reliability, and maintainability through best practices in CI/CD and automation.Work closely with product owners, developers, and stakeholders to convert business requirements into effective technical solutions.Technologies Utilized: Azure DevOps, Kubernetes, SQL, ETL.

We are seeking a talented Senior Data Engineer to join our dynamic team at inetum2. In this role, you will be responsible for designing, implementing, and managing data architectures that support our business objectives. You will work closely with data scientists and analysts to ensure the integrity and accessibility of data across our organization.Your expertise in data modeling, ETL processes, and cloud technologies will be essential in driving our data strategy forward.

Join our dynamic team at tsmg as a Senior Data Center Coordinator, where you will play a pivotal role in managing disk lifecycle and ingest operations tailored to our operational needs. Your responsibilities will encompass overseeing the procurement, allocation, tracking, scrapping, and shipment of disks, ensuring a smooth and efficient data upload and segregation process. You will also coordinate team efforts through effective conflict resolution, task delegation, goal setting, time management, and resource allocation. Strong stakeholder management skills are essential, as you will be tasked with providing updates and statuses to both internal teams and clients, fostering seamless operations aligned with our business objectives.

Location: Warsaw, Poland Company: Veeam Software About Veeam Software Veeam leads in data management and AI trust, helping organizations understand, secure, and strengthen their data. Headquartered in Seattle with teams in over 30 countries, Veeam protects the operations of more than 550,000 clients worldwide. The company focuses on keeping businesses running smoothly and enabling the safe, rapid adoption of AI at scale. Role Overview The Senior Data Security and Privacy Engineer will focus on implementing privacy-by-design principles and building strong data protection strategies for the Veeam Data Cloud (VDC) data plane. This position plays a critical role in upholding high standards for data security and privacy, helping to maintain client trust in Veeam's solutions.

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.

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.

Join Inetum Polska as a Data Engineer, where you will play a pivotal role in the development and optimization of our data infrastructure. Your responsibilities will include:Designing and maintaining efficient processes to aggregate data from diverse sources into our Data Lake.Creating, developing, and refining complex data pipelines to guarantee a reliable flow of information.Establishing frameworks that support the development of data pipelines.Implementing thorough testing frameworks for data pipelines to ensure data integrity and quality.Collaborating with analysts and data scientists to deliver superior quality data solutions.Overseeing data management practices, ensuring security, compliance, and best practices in governance.Exploring and adopting new technologies to enhance data pipeline performance.Integrating and leveraging data from various source systems, including Kafka, MQ, SFTP, databases, APIs, and file shares.

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 Sigma Software Group is hiring a Senior Data Engineer in Warsaw to support data-driven work in the interior design sector. This position focuses on building and maintaining data solutions that help teams uncover insights and guide decisions. What You Will Do Design and implement data pipelines tailored to interior design projects Work closely with teams from different disciplines to optimize how data moves and is used Monitor and maintain data integrity throughout systems Apply advanced analytics to support new and creative design strategies Collaboration and Impact This role offers the chance to work alongside professionals from various backgrounds, contributing technical expertise to creative projects. The work directly supports innovation and better decision-making in interior design.

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.