Responsibilities They are responsible for creating and maintaining the architecture for big data systems to ensure optimal performance, scalability, and reliability.\n Roles and Responsibilities: 1. Develop and implement data strategies for large-scale data solutions; 2. Design and maintain data architecture for big data systems; 3. Collaborate with cross-functional teams to understand data requirements and design appropriate solutions; 4. Optimize data storage and retrieval processes for efficiency and performance; 5. Ensure data security, integrity, and compliance with data governance policies; 6. Evaluate and recommend new technologies and tools to enhance data architecture and analytics capabilities.
As Senior Data Engineer, you will design, build and evolve secure, scalable and governed data solutions that enable FMCC to deliver reliable controls, regulatory outcomes and actionable client, income, commercial, or control insights. You will combine deep hands-on engineering expertise with end-to-end ownership, translating business and regulatory needs into robust data models, pipelines and business intelligence solutions. You will be a senior technical contributor across strategic data, BI and AI initiatives. You are expected to be visible, pragmatic and closely involved in delivery, from solution design and engineering through testing, deployment and production support. You will raise engineering standards, anticipate risks, provide clear technical direction and help the team deliver consistently without surprises. As a senior member of the team, you will share best practices, coach colleagues and contribute to a solution-focused, collaborative culture anchored in the Orange Code behaviours. This role reports functionally into the Data Domain Area lead in Amsterdam and hierarchically to the Change Lead. As an Senior Data Engineer, you play a pivotal role in driving data engineering, data insights, BI and AI projects through empowered teams and strategic alignment. Your key responsibilities include: - Own the end-to-end design, development and maintenance of scalable data pipelines and data products, covering ingestion, transformation, storage, orchestration and consumption. - - - - - - - - - - Translate business, control and regulatory requirements into robust technical designs, governed data models and fit-for-purpose BI solutions. Design and implement reliable ETL and ELT processes for batch and, where relevant, streaming workloads, with appropriate controls for data quality, lineage and traceability. Lead technical solution design and provide reusable blueprints that improve scalability, maintainability, client outcomes and regulatory compliance. Build engineering quality into delivery through automated testing, code review, version control, CI/CD, monitoring, observability and clear operational ownership. Own the deployment lifecycle for new and changed data models and BI solutions across test, acceptance and production environments. Perform impact assessments and work with cross-functional partners to evaluate business, operational, process and technology implications before implementation. Partner with analysts, data scientists, product owners, process experts and stakeholders to prioritize work, manage dependencies and deliver against the roadmap. Ensure technical documentation, requirements, design decisions, controls and support procedures are complete, current and endorsed by relevant stakeholders. Drive timely enrichment and optimization of FMCC data required for new regulations, control processes and Process and Transaction Monitoring solutions. Explore how FMCC data capabilities can support advanced analytics and future AI use cases, including responsible use of generative AI. - Coach and mentor engineers, promote knowledge sharing and challenge the team to improve engineering practices, resilience and delivery discipline. - - - - - - Contribute actively to Agile ceremonies and foster transparent planning, early escalation and fact-based decision-making. You are not only expected to build solutions, but also to shape how FMCC designs, governs and operates its data engineering capabilities. BI experience in Power BI, Cognos, Tableau, Looker is preferable Act as the primary bridge between FMCC business teams, Change, BAU, Architecture and BIDS, ensuring data capabilities are aligned with strategic business priorities and operational needs. Drive the integration of data capabilities across FMCC by promoting shared standards, reusable solutions, cross-functional collaboration and early involvement of data expertise in strategic initiatives. Represent FMCC Data in cross-domain forums, architecture discussions and strategic initiatives across Wholesale Banking.