Role Description As a Snowflake Data Engineer, you will work at the intersection of data, technology, and business, helping our clients modernise enterprise data platforms and accelerate their cloud transformation journeys. You will contribute to a large-scale international data migration program within the insurance sector, supporting the transition from legacy Hadoop/Hive ecosystems to a modern Snowflake-based architecture. You will collaborate with multidisciplinary teams in an international environment and contribute to projects that drive performance, innovation, and scalable data solutions. Your Impact - Participate in enterprise-scale migration projects from Hadoop/Hive to Snowflake; - Design and develop ETL/ELT pipelines for batch and near real-time ingestion; - Develop scalable and optimised Snowflake data models and transformations; - Work with technologies such as Snowflake, SQL, Python, PySpark, Snowpark, Spark, and Databricks; - Ensure data quality, consistency, governance, and security throughout migration activities; - Collaborate with architects, engineers, and business stakeholders across international teams; - Contribute to modernisation initiatives and cloud transformation programs; - Support continuous improvement and optimisation of enterprise data platforms. What Makes This Role Challenging - You will work in complex, evolving enterprise environments; - You will contribute to large-scale modernisation and migration initiatives; - You will balance technical delivery, optimisation, and governance requirements; - You will collaborate with multicultural and cross-functional teams; - The role requires autonomy, ownership, and strong problem-solving capabilities. Qualifications - Minimum 5 years of experience as a Data Engineer or similar role; - Strong hands-on experience with Snowflake, including: - Data modelling; - Performance optimization; - Security implementation; - Proven experience in data migration and modernisation projects; - Strong SQL expertise and experience with analytical databases; - Hands-on experience with Dataiku or similar data integration tools; - Experience with Python, PySpark, and Snowpark; - Experience with distributed processing frameworks such as Spark or Databricks; - Strong analytical and problem-solving skills; - Ability to communicate clearly with both technical and non-technical stakeholders; - A collaborative mindset and strong sense of ownership; - Professional proficiency in French; - Fluency in English; - Must be a Portuguese or European citizen, or hold a valid work permit for Portugal. Nice-to-haves - Experience within insurance or other highly regulated industries; - Experience with dbt; - Experience with cloud environments (Azure and/or AWS); - Familiarity with CI/CD and DevOps practices for data platforms; - Exposure to Data Vault 2.0 methodologies; - Experience in consulting environments; - Exposure to international or multicultural projects. Benefits - Competitive salary aligned with your experience and the data market; - Meal allowance: €10.20/day; - Flexible benefits plan; - Private medical insurance; - 22 days of annual leave, increasing every 3 years (up to 25 days); - Continuous learning via KLX – Keyrus Learning Experience; - A collaborative, international, and human-centred work environment. Equal Opportunity Statement We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.

Title: Data Engineer II Job Description: Location: Remote (EST hours: 8-5 or 9-6) Duration: 6-month contract with likelihood of extension Rate: $40-45/hour W2 Overview Our Retail client with over $80B in annual revenue has over 2,000 stores, across 21 US states, with over 400,000 employees. This company is a leader in sustainable retailing with a passion for delivering excellence. By driving omni channel growth, efficiency in the shopping experience and continuing to develop with new technologies; this company is growing and developing continuing success. The leadership team strives for work-life balance for all its employees, with options for overtime if desired. We are seeking a Data Engineer II with strong experience in both data engineering and business intelligence. Key Responsibilities - Design and develop scalable data pipelines using Databricks and Azure Data Factory - Ingest, transform, and validate data for downstream reporting and analytics - Work with Delta tables and Unity Catalog in Databricks - Perform unit and system testing to ensure data integrity and completeness - Develop and optimize Power BI dashboards and reports - Support performance testing and tuning across data and reporting layers - Collaborate with stakeholders to ensure data supports business reporting needs - Participate in Agile ceremonies and development lifecycle Required Qualifications - 3+ years of Databricks experience (certification required) - 3+ years of Azure Data Factory experience - 5+ years of strong SQL experience - Hands-on experience with Spark programming - Power BI development experience (dashboards, data modeling, performance tuning) - Experience with data validation and testing - Strong understanding of data flow from source to reporting layer - Experience working in Agile environments - Strong communication skills Nice to Have - Experience optimizing Power BI performance at scale - Experience working with large enterprise data platforms Category Code: JN008 #LI-MD1

Role Description We are partnered with a global consultancy delivering large-scale cloud and platform transformations for enterprise organisations. This role is built for a senior technologist ready to combine architecture ownership, team leadership, and client advisory within complex multi-stakeholder environments. You will shape cloud strategy, lead engineering teams, and guide organisations through modernisation programmes that directly influence operational performance and scalability. Hiring in all locations: - Berlin - Düsseldorf - Frankfurt - Hamburg - Hannover - Cologne - Munich - Stuttgart Salary: - €75,000 - €85,000 base salary + 17% bonus (€87,750 - €99,450 package) - Senior Architect Salary: €85,000 - €105,000 base salary + 26% bonus (€107,100 - €132,300 package) Qualifications - Cloud Platforms: AWS, Azure, GCP - Architecture: Distributed systems, microservices, cloud data platforms - Infrastructure: Terraform, CI/CD pipelines, container platforms - Additional Exposure: AI/ML environments beneficial - Experience designing cloud-native architectures - Deep expertise across at least one hyperscaler, certifications preferred - Strong track record delivering complex transformation programmes - Commercial awareness with the ability to engage non-technical stakeholders - Fluent German and English (minimum B2) Requirements - Own architecture from concept through production deployment - Advise senior stakeholders on cloud strategy, modernisation, and DevOps practices - Establish reusable frameworks, standards, and scalable solution patterns - Coach engineering teams and foster a high-performance delivery culture - Support pre-sales activity, proposals, and client engagements Benefits - Operate in a high-visibility leadership role influencing enterprise transformation - Direct exposure to executive stakeholders and strategic programmes - Clear pathway into senior leadership - Autonomy in architecture decisions with flexible working models - Access to world-class training and structured career planning Company Description Steadman & Chase is a London and Düsseldorf-based boutique headhunting firm trusted by market-leading organisations across Legal, Technology, and Financial Services. - We specialise in placing elite talent, particularly Magic Circle and Am Law 100 trained legal counsel alongside leading technology specialists. - We address a key gap in this niche, where 2026’s demand for AI literacy, data privacy, cybersecurity, regulatory compliance, and tech-hybrid proficiency is highest. - Through our proprietary Talent Vault™ framework, we deliver talent shortlists in as little as 48–72 hours. - Supported by sophisticated off-market execution, market mapping, and benchmarking that directly address 2026’s non-equity partnership dynamics, AI-driven workflow shifts, regulatory pressures, and compensation challenges. - Our core regions are EMEA, The Americas, and APAC.

Title: Salesforce Data Engineer Location: Chicago United States Job Description: Position Summary: Results-driven Salesforce Data Modeler to support our evolving Customer Experience team. Responsible for designing robust, integrated data models within Salesforce, enabling seamless platform interoperability and ensuring data is optimized for consumption by reporting and analytics tools. Responsibilities include master data management, cross-platform data integration, and understanding business requirements in digital environments. Provide exceptional support for reporting and analytics, leading to influential business decisions. Reports To: Director – Commercial Analytics Location: Minimal local travel will be required. This position is based in Chicago, IL and requires 2 days a week on site, 3 days a week starting in September. Key Accountabilities & Responsibilities USG is seeking an experienced and results-driven Salesforce Data Modeler to support our evolving Customer Experience team. The successful candidate will be responsible for designing robust, integrated data models within Salesforce, enabling seamless platform interoperability and ensuring data is optimized for consumption by reporting and analytics tools. Our current ecosystem includes sales and marketing solutions operating across North America (US, Canada, and LATAM). The ideal candidate will have strong expertise in master data management, cross-platform data integration, and a keen understanding of business requirements in digital environments. This role is pivotal in supporting business decisions and enhancing USG’s reporting and analytics capabilities. Data Model Design: · Design, implement, and maintain scalable and integrated Salesforce data models that support business operations and analytics. · Develop and enhance data integration between Salesforce and external platforms to ensure data consistency and accessibility for reporting. · Align data architecture with Master Data Management strategies and ensure data accuracy and quality across the platform. Cross-Platform Integration: · Lead efforts to integrate Salesforce data with other enterprise systems, supporting analytics and reporting needs across business units. · Collaborate with IT, Sales, Service, and Marketing teams to understand cross-functional data requirements and facilitate data interoperability. · Ensure seamless and secure data flow across platforms, optimizing for high availability and data consistency Reporting and Analytics: · Design data structures and models that enable efficient consumption of Salesforce data for business intelligence and analytics. · Support development of dashboards and reports by ensuring underlying data model meets consumption focus and self-service analytics requirements. · Facilitate self-service reporting and empower business teams with accessible, reliable, and actionable data. Business Acumen and Digital Strategy: · Translate complex business needs into scalable data model solutions. · Apply a consumption-focused mindset to ensure reporting and analytics users can easily access and utilize relevant information. · Remain current with Salesforce feature releases, industry best practices, and emerging data trends. Documentation and Governance: · Maintain thorough, up-to-date technical documentation (data dictionaries, ERDs, integration flows). · Advocate for data governance practices, ensuring secure, compliant, and high-quality data management across all projects and platforms. Goals · Deliver resilient, integrated Salesforce data models tailored to USG’s strategic growth and analytics needs. · Align Salesforce and enterprise data ecosystems for seamless cross-platform data sharing and analytics. · Maximize the quality, accessibility, and utility of USG’s Salesforce data assets for business reporting, analysis, and innovation. Requirements Education: ·Bachelor’s degree required. Degree in Computer Science, Information Systems, or a related technical discipline preferred. Data Management Expertise: · Minimum of 5+ years’ experience designing, developing, deploying, managing, and governing advanced data models in an enterprise digital environment. · Demonstrated experience with Master Data Management and enterprise data governance. · Proficient with data modeling best practices, Salesforce Data Cloud, relational/non-relational data stores, and the implementation of effective data model solutions. · Solid background using ETL/integration platforms (MuleSoft, Informatica, Boomi, etc.). ·Experience supporting reporting and analytics initiatives with a user-centric and consumption-focused approach. ·Proficiency with data modeling tools, ETL processes, and integration middleware. ·Working knowledge of Salesforce architecture capabilities and ecosystem, including Sales Cloud, Service Cloud, Marketing Cloud, and Data Cloud. Technical and Analytical Skills: · Exceptional analytical, problem-solving, and communication skills; strong partnership focus and ability to convey technical topics to business stakeholders. · Strong analytical skills for translating business requirements into scalable data models. · Proficient in developing and supporting BI/reporting platforms such as Tableau, Power BI, or Salesforce-native analytics. · Working knowledge of data security, privacy practices, and compliance requirements. Leadership and Communication: ·Excellent communication and interpersonal skills to collaborate with cross-functional teams and present technical concepts to business stakeholders. ·Commitment to high ethical standards and handling of sensitive/confidential data. PREFERRED SKILLS AND QUALIFICATIONS ·Informatica Certified Practitioner or comparable certifications. ·Experience in the manufacturing or construction industry. · Prior consulting, enterprise data strategy, or multi-cloud/SaaS implementation experience. ·Background with ERP or CRM data integrations. Rate of pay may be adjusted based on the qualifications and experience of the candidate. USG employees enjoy a number of benefit options for themselves and their families. These include two medical insurance options, as well as vision and dental coverage. The cost of these optional programs varies based on coverage level - employees generally pay 25% of the monthly premium cost, USG pays the rest. These coverage options are offered on the first day of employment with no waiting period. Additionally, USG employees enjoy both a 401(k) Investment Plan with company match and a pension plan. Beyond these main features, employees may also choose from a number of additional programs like life insurance, accident insurance, legal insurance, even pet insurance, just to name a few. USG also offers Quarterly (hourly) / Annual (salary) bonus potential for all employees based on performance metrics tied to safety, quality, and productivity. USG also provides employees with paid time off and paid holidays. Since 1902, Chicago-based USG has been a leader in producing innovative, award-winning products and systems to build everything from major commercial developments and residential housing to home improvements. USG's employees are committed to the highest levels of customer satisfaction and quality in everything we do. Our steadfast commitment to the company's core business values – innovation, quality, integrity, service, diversity, efficiency and safety – have helped us become the company we are today. EOE including disability/veteran Department Customer Service Locations Corporate Headquarters Remote status Hybrid Yearly salary $111,900 - $149,160 Hourly/Salaried Salaried Oracle Department Bldg Sys-CRM-120|US Gypsum Co.|USG Business Group Oracle Job Title CUSTSVC.Mgr.Customer Experience Transformation.|E.0.10|USG