Senior Analytics Engineer

Qabird; Den Haag; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working

Competitive salary

Extensive development budget

Pension

Monthly internet allowance

Job summary

NIBC is seeking a Senior Analytics Engineer to join the Data & Analytics team in the Netherlands. You will implement complex business logic with DBT and Python, build and optimize data pipelines, and deliver scalable data products for Finance, Retail and Risk teams across NIBC’s centralized cloud data platform.

As part of the central Data Integration team, you will guide requirements, ensure data quality, and cooperate with IT and business stakeholders to transition legacy solutions.

Qualifications

• 5+ years of experience in analytics engineering, data engineering, or related role.
• Strong DBT, SQL, Python skills with data platform experience.
• Experience translating business requirements into scalable data solutions.

Responsibilities

• Collaborate with stakeholders to define requirements and translate into technical specs.
• Implement solutions on our cloud platform ensuring quality and standards.
• Model data to align with centralized target data model.
• Ensure data quality through automated testing and observability.
• Maintain clear data model and transformation documentation.
• Stay updated with analytics engineering best practices.

Skills

5+ years experience

DBT

SQL

Python

Data modelling

Cloud platforms

Communication

Stakeholder management

Banking domain knowledge

Education

Bachelor's or Master's degree in Computer Science / Data related field

Tools

DBT

Python

SQL

Job description

Summary:

Join Data & Analytics as a Senior Analytics Engineer and turn data into actionable insights!

Job Description:

What will you do?

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.

Key Responsibilities

• 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.

NIBC as organization

Founded in 1945 to finance the visionary entrepreneurs who helped rebuilding the Netherlands after the second World War, NIBC was closely collaborating while professionally supporting companies and individuals in realizing their dreams and goals with a sustainable future in mind. As a multicultural midsize bank with a working environment that is best described as dynamic and ambitious, we share a forward-thinking, can‑do attitude with our employees and clients which we call our THINK YES mentality. Our corporate values are Professional, Adaptive, Collaborative and Entrepreneurial. You will have a direct and meaningful impact on both the bank and its clients. By building our company on optimism and mutual trust, and with our THINK YES mentality, NIBC is an enterprising bank that enables ambitions.

What’s in it for you?

NIBC is an ambitious environment where together we strive to create a fantastic workplace where you feel safe and challenged to be the best version of yourself. This is in line Professional, Adaptive, Collaborative and Entrepreneurial, since you are in the lead of setting the PACE of your career at NIBC. In addition, you receive a competitive salary, plus:

• Several ways to support your development personally and professionally, a.o.: personal development budget to spend at your own discretion, professional budget provided by your manager to develop yourself in your work, In‑house learning offering;
• NIBC embraces the Hybrid way of Working. This means that we support working from home as well as encourage our colleagues to come to the office. NIBC's guideline is to spend at least half of the working time at the office;
• Travel expenses or NS Business Card 1st class ;
• 32 holidays (which do not have to be registered);
• Excellent pension scheme (26% NIBC contribution);
• A voucher to improve your home office;
• The opportunity to take ownership and show initiative in your role. We are always open to new ideas, and encourage to use your voice;
• The nature of our Grow to Make a Difference program enables you to be in charge of your own development;
• Two staff associations: YoungNIBC and MyLeisure;
• Vitality program, annual company-wide sports & leisure days;
• Monthly internet allowance;
• Laptop and a company phone;
• Excellent facilities at the office (Coffeecorner, Restaurant, Exchange bar);
• Last but not least, a fun workplace in which diversity and inclusion is valued (click here).

What do you bring?

• 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.

Applications via email will not be taken into consideration.

For more information about the recruitment procedure or NIBC as employer you may contact our HR Servicedesk via [e-mail].