... Requirements: - 5+ years of experience as a Data Architect in a large, complex, geographically dispersed organisation. - Strong understanding of data value, data management, and applying technology to business strategy. - Experience in Financial Services, especially in data‑focused domains (Data Architecture, Data Governance, ...
Job Description: Data Engineer, LDWH Migration Programme Level: Senior / Mid-Senior Main Responsibilities: Develop and maintain data pipelines using Azure Databricks. Implement ETL processes, ensuring data quality and integrity. Read and comprehend complex SQL stored procedures. Translate architecture direction into engineering ...
... your go-to language. You write clean, object-oriented code (classes, clean functions, and unit tests) and feel confident navigating and understanding large, complex repositories. Strong Data Science foundations - You have a deep understanding of statistics and machine learning. You know how to choose the right models, evaluate ...
... https://jobeax.com/link/LWmzBCRniXxZh95Q expertise in Data Vault 2.0, Star Schema, and 3NF modelling https://jobeax.com/link/76KSadCpqAAwcGg4 in data profiling, data analysis, and working with relational databases and hierarchical data https://jobeax.com/link/5hSoDGkgaL0NE46j communication skills, able to convey complex concepts ...
... transform, validate, and analyze complex datasets to ensure high-quality inputs for modeling activities - Design, develop, and optimize ETL pipelines to streamline data ingestion and processing workflows - Work with large-scale databases and distributed data environments to extract and manage data efficiently - Collaborate with ...
... Krakow to drive a major enterprise cloud consolidation onto a modern GCP & Medallion (Bronze/Silver/Gold) architecture. If you thrive on handling genuinely complex data pipelines, event streaming, and laying the pipeline foundation for future ML & AI workloads, this is for you. What you’ll be doing: Pipeline Engineering: ...
... contracts, loyalty programmes and flight schedules. As part of our modernization journey, we are migrating from Teradata to Databricks and building a modern, scalable data platform. This role offers the opportunity to influence architectural decisions, shape future data solutions and work with complex data ecosystems in an international ...
... scalable data platform for one of the aviation industry's largest data warehouses. You will shape architecture, migrate from Teradata to Databricks, and work with complex, international data ecosystems in an agile, collaborative environment. The role requires 5+ years in data engineering/architecture, strong SQL, Databricks and ...
... analytical apps and projects; data preparation; identifying patterns from data by analyzing it; insights generation for real-life business challenges, using BI and Data Discovery tools; data visualization, preparation of BI dashboards; conducting unit tests; supporting in-app preparation and maintenance; ensuring data quality ...
... will develop and maintain a data platform and reporting processes operating in a complex Big Data environment. Responsibilities: Design, develop and maintain Data Engineering solutions using Hadoop and Apache Spark. Build scalable solutions for processing large volumes of data. Analyse complex business requirements and ...
The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by a wide range of stakeholders in the marketing domain, and create frameworks and tooling used by all data and analytics engineering teams. In this role, ...
Job Description The Data Engineer is responsible for designing, developing, and implementing data and analytics cloud-based analytics platforms (DAP) and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources. Key Responsibilities: Assemble large complex data sets which meet functional ...
... tools like Azure DevOps and Git. Practical experience with Unity Catalog sharing and configurations. Nice to Haves: Background in consumer panel or tracking data. Experience with DAX in Power BI for complex analytics. Knowledge of Consumer Health or FMCG analytics. Familiarity with working with external data vendors and ...
... primarily in Spotfire. Translate complex scientific and analytical data into clear, intuitive, and actionable visualizations. Develop and maintain R and Python data functions for data preparation, statistical analysis, modeling, and advanced visualization. Apply data visualization and user-experience best practices to create ...
Working as a Senior AWS Data Engineer you will: Design and build robust data ingestion pipelines leveraging SP-API and Data Kiosk. Lead the seamless integration and complex mapping of SAP data into the central cloud ecosystem. Develop, optimize, and maintain highly efficient ETL/ELT workflows using AWS Glue. Implement and ...
... cares about seeing their work used in real decisions. You’ll focus on understanding the problem, not just the numbers. You’ll lead your own projects, show how data can drive business and product decisions, and explain complex insights in a clear, practical way. Your work will have a real impact on the company, and we’ll ...
... reading. Your responsibilities, Design & Build, •Build and improve GCP data solutions using BigQuery, Cloud Composer, and Cloud Storage, •Build and maintain data pipelines and transformations with Python, dbt, and Airflow, •Model data across Data Warehouses, Lakehouses and Data Lakes within an established architecture, ...
We are looking for an experienced Data Engineer (Snowflake / SQL) to join a cross-functional technology team working on a modern data-driven platform supporting complex business processes within the life sciences sector. In this role, you will be responsible for building and maintaining reliable data solutions, working ...
... Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement. - Ensure ...
... build a more sustainable, more inclusive world. Your Team Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms ...