• Define and maintain the enterprise data architecture blueprint, including data models, standards, and governance frameworks. • Align data architecture with business strategy by collaborating closely with business and IT stakeholders. • Design and oversee scalable data solutions across transactional, analytical, and streaming environments. • Establish standardized data integration and interoperability patterns across platforms. • Lead data platform modernization initiatives, including cloud adoption and migration. • Define and enforce data governance, data quality, metadata management, and MDM frameworks. • Provide architectural guidance, reviews, and mentoring to architects, data engineers, and delivery teams. • Partner with Security and Compliance teams to ensure data privacy and regulatory compliance.

Role Description Our client is a large, technology‑driven logistics and e‑commerce services organization operating at significant scale. The company processes high volumes of operational and analytical data daily and invests heavily in modern cloud‑based data platforms. Data is a critical enabler for business performance, decision‑making, and continuous optimization across the organization. You will join a Data Services / Data Engineering team responsible for designing, building, and operating scalable data solutions on a modern cloud analytics platform. The team supports multiple business domains by delivering reliable, well‑governed, and high‑performance data pipelines. You will be: - Designing, developing, and maintaining scalable data pipelines using Python and PySpark. - Building and operating Delta Live Tables pipelines in both streaming and triggered modes. - Selecting and configuring appropriate Databricks compute for different workload types. - Implementing and maintaining data governance using Unity Catalog across Databricks workspaces. - Diagnosing, analysing, and optimising slow SQL queries on large Delta tables. - Defining, packaging, and deploying Databricks resources using Databricks Asset Bundles. - Collaborating closely with other data engineers, analytics teams, and platform stakeholders. - Contributing to best practices around performance, reliability, and maintainability of data solutions. Qualifications - Strong experience with AWS Databricks. - Proven experience building scalable data pipelines using Python and PySpark. - Hands‑on experience designing and operating Delta Live Tables pipelines. - Solid understanding of Databricks compute options and the ability to choose the right configuration for specific workloads. - Ability to diagnose and optimise slow SQL queries on large Delta tables using a structured approach. - Experience using Databricks Asset Bundles for infrastructure and deployment as code. - Experience working with Unity Catalog to centralize data governance. - Experience working in complex, data‑intensive environments with large datasets. - Good understanding of data modeling and data quality concepts. - Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. - Work from the European Union region and a work permit are required. Requirements - Familiarity with CI/CD practices for data platforms. - Experience collaborating in cross‑functional, agile teams. - Experience with streaming data architectures. - Exposure to data platform cost optimization. - Experience mentoring or supporting other data engineers. - Knowledge of wider AWS data ecosystem services. - Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. - Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process - CV review - HR call - Interview - Client Interview - Decision

This role would be the primary leader and point of contact for ADDER's customer-facing designs and UI platform. This individual would be responsible for gathering requirements, working through designs, implementing them in code, and providing ongoing...

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary We are seeking a detail-oriented, business-savvy Data Analyst who can operate across the full analytics and data governance lifecycle. This role expands beyond traditional analytics delivery by contributing to areas such as data stewardship, data governance, data quality, metadata, and lineage. What You’ll Do 1. Data Analysis, Requirements and Stewardship - Understand business objectives and translate them into clear data and analytics requirements across domains such as Risk, Finance, and Operations. - Validate business logic, metric definitions, and calculation rules with domain experts to ensure consistency and correctness. - Contribute to data stewardship activities by reviewing business definitions, surfacing data issues, andnhelping ensure data is interpreted consistently across teams. 2. Business Insight and Cross-Functional Collaboration - Partner with Business Owners, Business Analysts, and functional teams to deliver timely insights that support decision-making and business prioritization. - Work closely with Data Analysis Managers to align analytics outputs with user needs, product goals, and broader organizational initiatives. - Support ad-hoc analysis and exploratory assessment for business initiatives that require fast, contextualized interpretation of data. 3. Data Quality, Governance and Responsible Data Practices - Establish data quality rules, thresholds, and business validation logic for key data elements. - Maintain accurate metadata, business definitions, and reporting documentation to support transparency and governance. - Ensure analytics outputs adhere to PDPA, consent rules, and internal governance and protection standards. 4. Business Enablement - Design, develop, and maintain dashboards, reports, and curated datasets that support scalable, trusted, and business-aligned analytics. - Build and enhance semantic layers or shared datasets that reflect agreed business definitions and enterprise data models. - Collaborate with Data Architects and cross-functional teams to ensure analytics products follow common modeling, metadata, and naming standards. What We’re Looking For - 4+ years of experience in data analysis, BI development, or reporting roles, ideally with exposure to cross-functional business domains and proficiency in Power BI, DAX, and SQL. - Experience working with cloud-based data platforms such as Azure Data Services, Databricks, or equivalent environments. - Solid understanding of data modeling, visualization best practices, and business logic or metric validation. - Ability to communicate insights and data concepts clearly to both technical and non-technical stakeholders. - Working knowledge of data governance fundamentals, including data classification, access control, consent-aware reporting, and responsible data usage. - Proficient in Thai and English at intermediate level or above, sufficient for technical discussions, meetings, and written documentation Preferred: - Experience in banking, fintech, or other regulated industries. - Exposure to metadata and governance tools such as Unity Catalog, Azure Purview, or Power BI service administration. - Understanding of privacy-by-design principles and regulatory expectations in analytics and reporting. - Skills in Python or R for exploratory analysis or data validation (beneficial but not mandatory). - Strong interest in enabling data-driven decision-making through scalable, well-governed analytics and high-quality reporting assets. Why Join CAPCO - Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry - Work in a collaborative, flat, and entrepreneurial consulting culture - Access continuous learning, training, and industry certifications - Be part of a team shaping the future of digital financial services - Help shape the future of digital transformation across FS & Energy We offer - A work culture focused on innovation and creating lasting value for our clients and employees - Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings - A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients - An agile, diverse, entrepreneurial, inclusive, meritocratic culture Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter. #LI-PW1 #LI-Hybrid