Analytics Engineer at Fresha | Warsaw

Role Overview adlook is hiring an Analytics & Data Engineer in Warsaw, Poland. This position plays a key part in shaping how the company uses data to inform decisions and improve operations. The role centers on building and maintaining data pipelines, making sure information stays accurate and easy to access. What You Will Do Work with teams across the company to design and implement data pipelines Support the reliability and quality of data used for analytics and reporting Help optimize data workflows to improve how the organization makes decisions

Welcome to Liven! We are crafting a global ecosystem of self-regulation products that empower individuals to disengage from emotional autopilot and cultivate better relationships with themselves.Within our ecosystem, we offer:Self-discovery Companion — an app chosen by over 2.5 million users. It provides a space for self-exploration through AI coaching, mood tracking, audio practices, and bite-sized learning.Online Coaching — sessions with certified experts to navigate complex situations.Supplements — for physical recovery and body support.We are on a continuous expedition with ambitious plans to expand our ecosystem.Liven is a company for the curious. We are driven by curiosity — an intrinsic need to ask questions, dig deeper, and not shy away from the unknown challenges.Our passion lies in creating products and solutions that genuinely help. Our curiosity and experimental culture exist to discover better ways to support and guide individuals on their self-discovery journeys.Currently, we are seeking a Data Engineer / Analytics Engineer at Liven.In this role, you will be responsible for establishing the company’s robust data foundation, designing storage architecture, and providing analytical teams with quality, ready-to-use data.Challenges Awaiting You:— Ensuring the continuous provisioning of necessary data to analytical teams across various business domains (marketing, product, operations) through stable integrations (using Airbyte and custom solutions);— Organizing long-term DWH architecture (data layer development, modeling, ensuring data integrity);— Developing and optimizing our ELT processes and data transformations within BigQuery using Dataform, as well as implementing reliable process orchestration (with plans to transition to Airflow/Astronomer);What We Value:— Excellent SQL knowledge and a deep understanding of modern analytical warehouse construction concepts;— Practical experience with cloud data ecosystems (ideally GCP, BigQuery) and data transformation tools (Dataform/dbt);

Role Overview Miratech is hiring a Data Engineer specializing in Azure Databricks for its Warsaw office. This position focuses on building and maintaining data pipelines and architectures that support reliable, high-quality data. Main Responsibilities Design and develop data pipelines using Azure Databricks Maintain and optimize data architectures to ensure availability and reliability Work with cross-functional teams to turn raw data into insights for decision-making

Join our dynamic trading platform as we extend our reach globally. Our award-winning products are recognized for their innovative technology and exceptional user experience. We are dedicated to assembling a top-tier team, and we are eager to welcome talented individuals who share our vision.In the role of Data Engineer, you will be an essential member of our data team, responsible for the design, development, and maintenance of robust data pipelines and systems. Collaborating closely with data scientists, analysts, and other stakeholders, you will ensure that our data is reliable and readily available to support informed decision-making and analytics efforts. Your key responsibilities will involve data ingestion, transformation, and delivery, alongside optimizing our data infrastructure.As a Mid-Level Data Engineer, you are expected to enhance and sustain our data infrastructure, guaranteeing data integrity and accessibility. You should demonstrate the ability to work both independently and collaboratively, adapting to evolving data requirements and partnering with fellow data professionals to derive meaningful insights for the organization. Keeping abreast of the latest data engineering best practices and emerging technologies will be vital for your success in this position.

At Samba TV, we are at the forefront of transforming the viewing experience worldwide through our innovative data and technology solutions. Our mission is to empower media companies by providing them with the insights they need to connect effectively with audiences while offering advertisers the tools to engage viewers across multiple devices. With our unique global footprint and AI-driven insights, we have a compelling story to tell about culture and media consumption.In the role of Data Engineer, you will lead the development of high-performance, scalable data pipelines and infrastructure that underpin Samba TV's analytics and insights. Your expertise will be essential in designing and implementing architectural enhancements, adhering to best practices, and mentoring a talented team of engineers. You will collaborate closely with teams in Data Science, Analytics, and Product to deliver robust, production-ready data solutions that drive significant business impact.

At Samba TV, we are pioneers in tracking streaming and broadcast video globally through our innovative data and technology solutions. Our mission is to revolutionize the viewing experience for everyone. We empower media companies to connect with their audiences for new shows and movies while allowing advertisers to engage viewers and measure their reach across all devices. With a unique cultural perspective shaped by our global data and AI-driven insights, we are committed to transforming the media landscape.We are on the lookout for a skilled Data Engineer to enhance our Internal Data and Performance (IDP) team within the Internal Measurement department. This team serves as the definitive source of truth for internal data health and operational metrics, overseeing systems that monitor the company's television footprint, partner payments, and data quality. You will collaborate with various technical teams to enhance visibility and promote data-driven decision-making throughout the organization.

Join Point72, a leading asset management firm, as a Data Engineer and play a pivotal role in transforming raw data into actionable insights. You will collaborate with cross-functional teams to develop data pipelines, ensuring that our analytical and operational needs are met efficiently. Your expertise will contribute to optimizing our data processes and enhancing the overall performance of our data systems.

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.

Join Margo Group as a Data Engineer and play a pivotal role in revolutionizing the diamond supply chain. Our client is embarking on a groundbreaking project to establish a comprehensive system of record, focusing on the intricate diamond matching process. In this position, you will take ownership of architecting the complete reporting lifecycle, which is currently in an early MVP phase. You will manage a replicated production environment and will be tasked with converting raw data from Python applications into a robust analytics framework. Your expertise will help bridge backend data structures with visually compelling business-ready insights.

Overview of the RoleWargaming is seeking an enthusiastic and driven Data Engineer to enhance our Analytics team. This role merges advanced technical skills in high-load telemetry and data warehousing with exceptional collaboration across various teams.Our team engages with a diverse array of product data, ranging from financial indicators to detailed in-battle telemetry, encompassing player actions, vehicle movements, and interface interactions. All data is unified in a centralized data warehouse and is accessible for near real-time analysis.You will work closely with the Data Warehouse team, which oversees storage, infrastructure, and reporting, as well as with a global analytics network of over 50 analysts. This position presents a unique opportunity to operate in one of the most data-driven sectors and leverage cutting-edge analytics technologies to achieve tangible product results.

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 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.

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.