Senior Data Engineer - Integrations & Data Platform

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);

Join Fresha as an Analytics Engineer, where you will play a vital role in shaping data-driven decisions through analytics and insights. You will collaborate with cross-functional teams to develop and maintain robust data pipelines, ensuring data integrity and availability for analysis. With your expertise, you will empower stakeholders by translating complex data into actionable insights and visualizations that drive business growth.

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.

Join Point72’s Innovative Technology TeamAt Point72, we are revolutionizing the investment landscape, and our Technology group plays a crucial role in enhancing our IT infrastructure, keeping us ahead in a fast-evolving tech environment. Our team of experts is continually exploring new avenues, leveraging open-source solutions, and embracing agile methodologies. We foster an environment of professional growth, encouraging you to bring innovative ideas to our projects while satisfying your intellectual curiosity.Your RoleAs a Security Engineer specializing in Detection & Analytics, you will be pivotal in maintaining and advancing Point72's centralized security logging and threat detection systems, addressing essential operational requirements. You will work with large-scale security data, craft sophisticated threat detection and analytical solutions, and significantly influence the firm’s security posture.Develop, fine-tune, and maintain customized threat detection rules and alerts in Splunk Enterprise Security, collaborating closely with Security Operations.Create and support Splunk dashboards and applications that facilitate threat hunting, risk remediation tracking, and security operations monitoring.Integrate detection capabilities with SOAR platforms in collaboration with Security Operations to enhance automation and response workflows.Analyze, parse, normalize, and enrich security data to ensure reliable detection, reporting, and analytical outcomes.Design and implement automated data ingestion pipelines using agents, syslog, APIs, and database connectors to onboard new log sources.Collaborate with Infrastructure, Application, and Security teams to broaden logging coverage and enhance security visibility across both on-premises and cloud environments.Operate and optimize the Splunk Enterprise Security platform to ensure stable data ingestion, high availability, and optimal performance.Guarantee consistent agent deployment and monitoring coverage across a diverse range of endpoints, servers, and cloud workloads.

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.

Join Our Team as a Product Analytics Manager!We are on the lookout for a skilled Product Analytics Manager to become a vital member of our Tools & Workflow domain within the Platform group at Bolt. In this role, your focus will be on enhancing and scaling our customer support and internal tooling products that impact over 50 countries.The Platform team plays a crucial role across all Bolt verticals, driving business growth and success. Your responsibilities will involve tackling various challenges, including geospatial analytics (routing, ETAs), user identity verification, user communications, internal tools, automation, and customer support. You will lead the analytics function for our Tools & Workflow domain, ensuring a seamless support experience for all Bolt users by developing efficient tools and technologies.

Join Our Team as a Web Scraping Engineer at Point72Elevate Your Career with Point72’s Market Intelligence DivisionThe Market Intelligence team at Point72 is at the forefront of developing innovative research products and providing comprehensive data management services to our investment teams. Our mission is to help drive superior, risk-adjusted returns through the utilization of cutting-edge alternative data sources, advanced analytics, and meticulous fundamental research. With the full backing of Point72, our dedicated teams collaborate closely to tackle critical research challenges alongside the Firm’s investment and compliance professionals.Your RoleAs a Data Engineer specializing in Web Scraping, you will be instrumental in creating robust solutions for processing large and unstructured datasets at Point72. You will lead efforts to extract and ingest data from various online sources using compliance-approved web crawling tools. Your responsibilities will include:Developing and refining tools, services, and workflows to enhance crawl/scrape analysis, data reporting, and management.Ensuring the accuracy, quality, and compliance of data through rigorous testing.Identifying and resolving issues with data extraction processes while scaling scrapes as necessary.

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.

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.