... Branża: bankowość Szukamy Data Engineera do rozwoju i migracji warstwy danych w obszarze AML. Kluczowym elementem roli jest budowa i rozwój rozwiązań opartych o Databricks i PySpark, integrujących dane z wielu źródeł oraz rozwój procesów ETL. Zakres obowiązków Rozwój i utrzymanie rozwiązań w Databricks z wykorzystaniem PySpark. ...
Square One Resources Limited is seeking a Senior Data Engineer / Data Platform Engineer to join an international data team in the e-commerce and digital marketplace space. The role focuses on building cloud-based data solutions capable of handling petabytes of data across data lakes and warehouses. You will design high-volume ...
... with big data models, databases, and tools Strong understanding of different data file formats like JSON, Parquet, Avro Hands-on experience with SQL and NoSQL databases, including Cassandra and MongoDB Proficiency in data warehousing solutions, ETL processes Proven ability to work within a fast-paced, team-oriented environment ...
... data from diverse sources to make them usable for (Gen)AI solutions contributing to the productive deployment and operation of machine learning and (Gen)AI solutions (MLOps), with a focus on use cases based on structured, semi-structured and unstructured data, including the integration of (Gen)AI applications and processes ...
... Insurance and many others, so you will have a chance to develop yourself in any direction you want. Responsibilities Develop and implement innovative analytical solutions using Cloud Native, Data, and NoSQL-related technologies Develop and implement Cloud/On-Premise/Hybrid solutions using best-in-the-class data frameworks Drive ...
... Responsibilities In this role, you will ensure our payroll data is pristine, compliant, and processed seamlessly. Your daily playground will involve: - Stakeholder Data Management: Coordinate and manage data inputs from various internal and external stakeholders, ensuring all submissions are timely and complete. - Data Validation ...
... business problems. - Partner with product managers and stakeholders to define success metrics and experiment goals, and to translate marketplace problems into data science solutions. - Lead the design and analysis of experiments (e.g., A/B tests, switchback) for your projects, and interpret complex model results and experimental ...
We are looking for a Senior Program Manager to join our CEE_WE Data Practice and play a pivotal role in shaping how we deliver data and AI solutions across the region. You will sit at the intersection of delivery, strategy, and client engagement — driving program governance, ensuring cross-functional alignment, and accelerating ...
We are seeking a Senior SAP Master Data Consultant to join our team and drive the design, implementation, and support of SAP IS Retail master data solutions. In this role, you will translate complex business needs into scalable, integrated solutions across multiple formats, channels, countries, and business models, while ...
... Data Hub - defining patterns, templates, and best practices for data engineering - establishing data governance, access policies, and security frameworks for data layer / Data Hubs - ensuring efficient storage, retrieval, and processing of large-scale datasets - preparing solutions for streaming and batch data ingestion, ...
... Ability to participate in and influence solution design discussions Solid knowledge of the data and analytics landscape and recent trends Experience in end-to-end data and analytics project delivery as part of the team (for example, data lake, DWH, advanced analytics solutions, BI/reporting, etc.) Excellent communication skills ...
... with streaming and big data technologies such as Kafka, Spark, and Apache NiFi, ensuring the reliability, performance, scalability, and quality of production data pipelines, collaborating with data architects, product teams, analysts, IT teams, and business stakeholders to deliver scalable data solutions, contributing to ...
... segmentations and machine learning solutions - Strong understanding of statistics, exploratory data analysis, feature engineering and model evaluation - Experience with data mining processes, data preparation and data scraping - Ability to work with messy, real-world business data and convert it into useful analytical outputs - Experience ...
... as data platform and Lakehouse buildouts, enterprise data warehouse modernization, cross-platform data migrations, advanced analytics, ML/AI activation, and data governance transformationsFrame target-state data visions with clients—connecting business priorities to data strategy, operating models, KPIs, and transformation ...
Lingaro is seeking a Lead/Senior Data Scientist to join their AI team in Poland. The role involves building end-to-end GenAI solutions and requires expertise in Generative AI and Natural Language Processing. You'll work on innovative projects with a strong tech stack and have the option to work remotely or in the office. ...
... Responsibilities: - Partnering with business stakeholders to understand challenges, define analytical problem statements, and translate them into structured data science solutions. - Performing exploratory data analysis (EDA), statistical testing, and hypothesis validation to uncover actionable insights from large, complex datasets. ...
... a scalable Smart Service Alert system based on vehicle telemetry data, further development of Vehicle State Tracking, migrating data sources to a cloud-based data lakehouse, and developing data management tools and data models. Key responsibilities Define functional system requirements for new solutions on the platform ...
... that revolutionize the logistics network and last-mile processes. - Skill Development: You will work alongside top specialists, gaining access to large-scale data sets and a modern technology stack on GCP. - Proven Solutions: Our solutions aren't just theoretical. They demonstrate effectiveness and performance in real-world ...
... as data platform and Lakehouse buildouts, enterprise data warehouse modernization, cross-platform data migrations, advanced analytics, ML/AI activation, and data governance transformationsFrame target-state data visions with clients—connecting business priorities to data strategy, operating models, KPIs, and transformation ...
... maintain integration specifications and architecture documentation Govern integration implementation using Azure Integration Services (Logic Apps, Service Bus, Data Factory) Ensure solutions meet performance, scalability, security, and compliance standards Support testing phases (SIT, UAT, regression) and cutover planning ...