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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior analytics engineer - **Company:** NIBC - **Location:** Den Haag, Netherlands (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Business Logic, Automation of Tests, Microsoft Azure, Data Architecture, Data Auditing, Data Validation, Data Infrastructure, Data Integration, Data Systems, Data Warehousing, Python (Programming Language), Cloud Services, SQL Databases, Google Cloud, Cloud Platform System, Data Build Tool (dbt), Data Lakes, Information Technology, Data Analytics, Data Pipelines - **Published:** November 1, 2026 - **Apply:** https://nl.talent.com/redirect?id=579259536361194191&source=vacant&utm_medium=xml&utm_campaign=marketing&utm_product=vacantnew_bulk&oapply=org_v2026-10&puid=edabadd9dda7addebddb9dd7eddbadddadaabddd9dda9ddfbddfadd7bdacaddfcdd79ddfbea3addffddgaed2dddgaddgfddgaddgaddg9ddg6ed3gc9bbb9b3bee3ee33def3de93de73dedgddcgddafdd93ded3dedgdd73ee33de93deg3ee33ee33deg3ee33ee33ee33ee33ee33ee3&pos=1&xml_batch_generation_id=321b49a7-99db-4da3-a712-67d1693d097a&falcon=1&pid=27902f63785c&bpid=6b52eed935c6aaafe30ffaaa0011bd0f ## About the Role * Experience: 5+ years of experience as an Analytics Engineer, Data Engineer, or Business Analyst with a strong focus on data integration, analytics, and data modelling. * Education: Bachelor's or Master's degree in Computer Science, Data Science, Business Informatics, Information Technology, or a related field from a recognized university. * DBT Expertise: Proven ability to implement complex business logic, transformations, testing, and workflows using DBT. * SQL: Advanced SQL development and optimization skills. * Python: Experience using Python for data transformation, automation, and analytics. * Data Modelling: Strong understanding of dimensional modelling, analytics engineering principles, and data warehousing concepts. * Cloud & Data Platforms: Strong familiarity with cloud data platforms (Azure, AWS, or Google Cloud), data lakes, lakehouses, and modern data architectures. * Communication: Excellent communication, negotiation, and stakeholder management skills, with the ability to bridge business and technical teams. * Banking Domain: Experience with banking-specific regulations and reporting requirements is an advantage. Still intrigued? ## Description This role positions you at the intersection of business and engineering. You will collaborate with Finance, Retail, and Risk teams across NIBC, implementing complex business logic in DBT, designing and optimizing data pipelines, delivering data products, and ensuring data quality. With your expertise in DBT, SQL, Python, and modern data platforms, you will help translate business requirements into scalable data solutions., We are looking for a Senior Analytics Engineer to join our team. The ideal candidate has a strong background in analytics engineering and the ability to implement complex business logic using DBT (Data Build Tool) and Python. In this role, you will work closely with business stakeholders as part of the central Data Integration team. You will help us transition legacy data solutions to NIBC's centralized cloud data platform. This is not merely a migration exercise; we enable our business to leverage the platform to create and own their own data products. You will support them throughout this journey by gathering and refining requirements, providing expert guidance, and assisting with hands-on implementation on our cloud platform. With every use case you deliver, you ensure value is created together with the business. You are the expert we rely on to build robust, scalable solutions, ensure data quality, and apply best practices in modelling, testing, and documentation. * Business Analysis: Collaborate with business stakeholders to define requirements and translate them into technical specifications. * Implementation: Implement solutions within the cloud platform, ensuring they meet both business needs and technical standards. * Data Modelling: Translate source data models into NIBC's centralized target data model. * Data Quality Assurance: Ensure high data quality through robust design, automated testing, observability, and comprehensive documentation. * Collaboration: Work closely with business domains, IT specialists, and colleagues within the Data & Analytics department. * Documentation: Maintain clear documentation of data models, transformations, and business logic. * Continuous Improvement: Stay current with industry trends and best practices in analytics engineering, DBT, data modelling, and cloud data platforms. * Controls & Observability: Implement business controls, data quality checks, and observability solutions using DBT, Soda, or comparable tooling. Your team We created the Data & Analytics department to enable our business to deliver high-quality data products using a modern cloud data platform. The mission of this technology-driven department is to ensure that data can be sourced, ingested, integrated, and consumed through well-designed, automated, and easy-to-use services and frameworks. NIBC as an IT employer NIBC IT consists out of several domains and together NIBC IT aims to be one of the driving forces behind the digital transformation of our bank, an ongoing process that will profoundly change the relationship with our clients and the way we do business. We are closely connected and have short lines of communication. If you have a good idea today, you may be elaborating it tomorrow. IT is forever changing and so is NIBC and in order for us to be able to keep on changing, we need sophisticated individuals to help us lead the bank into the future.