Role Description We are looking for a Senior Data Engineer with strong hands-on experience in GCP, Cloud Composer, BigQuery, and Python. This is a fully remote US role. - Build and maintain scalable data pipelines using Cloud Composer (Airflow) - Develop high-performance data solutions in BigQuery - Write optimized Python code for data processing and automation - Support ETL/ELT workflows and ensure data quality - Collaborate with cross-functional teams to deliver cloud data solutions Qualifications - 7+ years of data engineering experience - Strong expertise in GCP, Composer, BigQuery, Python - Experience building large-scale data pipelines Requirements - Nice to Have: Snowflake experience - Nice to Have: Matillion experience - Location: Remote, USA (must be authorized to work in the U.S.)

Role Description We are seeking a Senior Data Engineer to join our Client's IT system house and European data center. Based in Düsseldorf, it supports the retail by providing IT services and developing IT solutions on an international level for the Client in Europe. Your goal in the project is to develop an integration layer that will be an interface between the source and target systems for product, location and supplier data, and the master data management tool Syndigo. - Take shared ownership in the development of the technical integration across Syndigo, legacy and downstream interfaces. - Ensure data quality and mapping consistency between inbound source files and outbound update messages. - Support production stability through monitoring, alerting, and dead-letter queue handling. - Build a maintainable and scalable solution that supports both initial load and ongoing update flows. Qualifications - 8+ years of experience in Data Engineering. - AWS (DynamoDB, lambdas, SQS, EC, Fargate). - CI/CD (Bitbucket, Jenkins). - Python. - SQL. - Confluent Kafka. - Solid understanding of data flows, interfaces, mappings, and production support considerations. - Experience with data governance and master data management (Syndigo) is a strong advantage. - Clear communication. - Ownership. - Collaboration. - Problem-solving. - English C1. Requirements - AWS certificates (Nice to have). - Prior experience in the fashion retail industry (Nice to have). - German (Nice to have). Company Description

Role Description We are looking for a skilled software or data engineer with the following qualifications: - 5+ years of professional software or data engineering experience. - Advanced English is required (excellent oral and written communication skills are tantamount for this role). - Successful completion of a four-year college degree is required. - Extensive experience building, maintaining, and scaling large-scale distributed systems and data infrastructures in production. - Solid understanding of software engineering principles as a strong generalist, prioritizing architectural trade-offs and systems design over tool-specific specialization. - Demonstrated experience serving as a technical anchor, leveling up team members, and driving alignment across technical initiatives. - Track record of designing, modeling, and optimizing complex backend data structures and pipelines (SQL and NoSQL). - Hands-on experience operating cloud infrastructure and managing data engineering workflows in production environments. - Skilled at reasoning out loud about system designs, collaborating with cross-functional stakeholders, and translating business goals into robust engineering execution. - Ability to work through new and difficult issues and contribute to libraries as needed. - Ability to create and maintain continuous integration and delivery of applications. - Forensic attention to detail. - A positive mindset and a can-do attitude. - Experience working on Agile/Scrum teams. - Meaningful experience working on large, complex systems. - Ability to take extreme ownership over your work. - Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them. Qualifications - 5+ years of professional software or data engineering experience. - Advanced English is required (excellent oral and written communication skills). - Successful completion of a four-year college degree. - Extensive experience with large-scale distributed systems and data infrastructures. - Solid understanding of software engineering principles. - Experience as a technical anchor and driving alignment across initiatives. - Track record of designing and optimizing complex backend data structures. - Hands-on experience with cloud infrastructure. - Ability to collaborate with cross-functional stakeholders. - Experience with continuous integration and delivery. - Attention to detail and a positive mindset. - Experience on Agile/Scrum teams. - Ability to take ownership of work and identify with client goals. Requirements - 5+ years of professional software or data engineering experience. - Advanced English proficiency. - Four-year college degree. - Experience with large-scale distributed systems. - Strong understanding of software engineering principles. - Technical leadership experience. - Experience with backend data structures and pipelines. - Cloud infrastructure management experience. - Collaboration skills with cross-functional teams. - Experience with CI/CD processes. - Detail-oriented and positive attitude. - Agile/Scrum experience. - Ownership of work and client commitment. Benefits - Competitive pay. - 100% remote work. - Opportunity to work with leading startups and Fortune 500 companies. - Continuing education opportunities. - Opportunity to grow and expand your career.

Role Description Client is seeking an experienced Data Spoke Technical Lead to support the People Data domain within a federated enterprise data organization. This role will serve as the primary liaison between business stakeholders, IT, data engineering, and data governance teams, ensuring successful delivery of People Data initiatives while driving governance adoption and technical alignment. This is primarily a technical leadership and coordination role (70%), with a focus on governance execution (20%) and limited hands-on technical support (10%). Responsibilities - Data Spoke Leadership & Delivery - Support execution of the People Data roadmap and priorities. - Manage intake, triage, prioritization, and tracking of data-related work requests. - Maintain and govern backlogs, ensuring alignment with business priorities and enterprise strategy. - Coordinate across business, IT, data engineering, and governance stakeholders. - Facilitate Agile ceremonies including backlog reviews, sprint planning, and status updates. - Provide visibility into delivery progress, risks, and dependencies. - Data Governance - Drive adoption of governance practices within the People domain. - Support metadata management, data ownership, stewardship, classification, and retention activities. - Partner with Data Owners and Data Stewards to execute governance responsibilities. - Monitor and report on governance and data quality KPIs. - Technical Leadership - Provide technical leadership for People Data solutions and assets. - Support SQL-based data modeling, including dimensional modeling and Slowly Changing Dimensions (SCD). - Guide data pipeline and integration initiatives using Azure Data Factory or similar technologies. - Support data warehouse and semantic model design. - Assist with troubleshooting and solution design in partnership with engineering teams. - Contribute to DevOps processes including backlog management, epics, and user stories. Qualifications - 10+ years of experience in Data Management, Data Engineering, Analytics, or Business Intelligence. - Experience working within enterprise data governance frameworks. - Proven experience leading or supporting a data domain or business-facing data function. - Strong experience operating within a hub-and-spoke or federated data model. - Demonstrated success coordinating across business, IT, data engineering, and governance teams. - Advanced SQL and data modeling expertise, including dimensional modeling and SCD concepts. - Experience with data pipelines and ingestion frameworks such as Azure Data Factory or equivalent. - Experience with data warehouse and semantic model design. - Strong stakeholder management, communication, and delivery coordination skills. - Experience with Agile delivery methodologies and DevOps backlog management. Preferred Qualifications - Experience supporting HR, People, Workforce, or Human Capital data domains. - Experience with Power BI, including data modeling, DAX, and reporting. - Familiarity with Azure Databricks and the broader Azure Data Platform ecosystem. - Working knowledge of C# or similar programming languages. - Experience with Collibra or other metadata management and data catalog tools. - Experience implementing data ownership, stewardship, and governance operating models. - Master's degree in Information Systems, Computer Science, Data Analytics, or a related discipline.