• Design, optimize, and maintain tables and data structures to support recommendation and trending content data. • Work with structured data storage solutions, including PostgreSQL and JSONB, to manage recommendation and interaction data. • Implement and refine recommendation algorithms (e.g., collaborative filtering, content-based, and hybrid approaches) to enhance relevancy. • Use similarity search libraries like Annoy or Faiss to optimize recommendation speed and accuracy. • Continuously evaluate recommendation logic to better serve user preferences, ensuring real-time delivery. • Aggregate, analyze, and process user interaction data to support recommendations and trending content. • Design efficient queries and implement aggregation methods to capture relevant data and insights for recommendations. • Identify, troubleshoot, and resolve data handling issues to ensure accurate recommendation delivery. • Optimize queries, processing workflows, and containerised services for high performance and scalability within AWS ECS.

CAPCO POLAND Capco is a global management and technology consultancy dedicated to the financial services industry. We partner with leading banks, insurers, and fintechs to deliver data-driven transformation, operational excellence, and innovative digital solutions. Role Overview: We are looking for an experienced Data Governance Manager to join our Strategy & Advisory consulting team and lead a strategic client engagement focused on designing and implementing an enterprise-wide Data Governance Strategy. This is a client-facing consulting role requiring both strategic thinking and hands-on execution. You will be responsible for defining the governance vision, operating model, and implementation roadmap, ensuring data is trusted, well-managed, compliant, and aligned with business objectives. The engagement will require close collaboration with senior business and technology stakeholders to establish ownership structures, governance processes, and a scalable framework that supports regulatory compliance, data quality, and long-term data excellence. What You’ll Do Data Governance Strategy Development - Lead the design of an enterprise Data Governance Strategy aligned with business priorities - Define governance vision, principles, and target state - Develop a phased implementation roadmap with clear milestones and value outcomes - Assess current governance maturity and identify capability gaps Operating Model & Ownership Framework - Design and formalize data ownership and stewardship structures - Define roles, responsibilities, and accountability models (RACI) - Establish governance committees, decision forums, and escalation paths - Create a federated governance operating model aligned with business and IT Policies, Standards & Data Quality - Define enterprise data governance policies, standards, and procedures - Design the Data Quality (DQ) operating model, including controls, KPIs, and monitoring mechanisms - Establish metadata management and data lifecycle governance principles - Translate regulatory and compliance requirements into practical governance controls Stakeholder Engagement & Change Management - Facilitate workshops with senior stakeholders to align on governance priorities - Drive executive buy-in and consensus around governance decisions - Prepare board-level materials and strategic presentations - Support organizational change and capability enablement What We’re Looking For - Proven experience designing and implementing enterprise Data Governance frameworks - Experience delivering Data Governance Strategy projects in a consulting or transformation environment - Strong understanding of Data Management disciplines (Data Quality, Metadata, Data Ownership, Data Lifecycle) - Ability to translate strategic objectives into practical, scalable governance solutions - Strong stakeholder management skills and ability to influence senior leadership - Experience working in complex, cross-functional environments - Knowledge of DMBOK framework; CDMP certification is a plus - Experience with governance enablement tools (e.g., SAP MDG, Collibra, Solidatus, Azure Purview, data catalogs, DQ tools) We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects. Recruitment Process: - HR Interview - Hiring Manager Interview - Client Interview - Feedback and offer 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.

• Develop and evolve our data pipeline • Collaborate with internal stakeholders to define and measure key metrics • Develop data models • Have significant ownership of the data infrastructure that empowers internal teams to make key decisions • Work with stakeholders to define and align on key metrics • Architect and implement the next generation data pipeline • Collaborate with cross-functional partners in software, product and hardware engineering to capture data in line with company goals

• Responsible for building and maintaining scalable, high-performance data solutions using Azure Databricks, Apache Spark, AKS, Airflow, Postgres, and modern data lakehouse architectures. • Play a key role in the full software development lifecycle—from design and implementation to deployment and documentation. • Collaborate cross-functionally to support analytics, reporting, and operational data needs. • Ensure data quality, governance, and compliance through validation, documentation, and secure practices. • Contribute to and enforce best practices in data engineering, including version control (Git), CI/CD pipelines, and coding standards.