This role centers on building and refining the technical architecture that powers DNB’s sustainability disclosures. Working within Group Risk Management, you will own the data value chains that translate complex ESG metrics into actionable insights for reporting, capital management, and portfolio steering. It is a technical bridge between high-level business requirements and the cloud-based infrastructure needed to process vast amounts of environmental and social data.
At a time when financial institutions face unprecedented scrutiny over their green claims, this position ensures the integrity and transparency of DNB’s transition. By automating data pipelines and improving quality controls, you enable Norway’s largest bank to accurately steer its portfolio toward net-zero goals. Your work directly mitigates greenwashing risks and strengthens the bank’s ability to support sustainable development across the Nordic region.
This suits someone who possesses a strong foundation in data engineering and a genuine interest in the evolving ESG landscape. You should be comfortable navigating complex data ecosystems while translating technical outputs into strategic value for senior decision-makers.
Perguntas frequentes da vaga
What are the main missions and responsibilities of this role?
The core of this role involves architecting and operating robust data pipelines specifically for ESG and credit risk information. You will be responsible for the end-to-end data value chain, from initial ingestion to the final dashboards used by decision-makers. This includes designing infrastructure on the bank's AWS-based platform and ensuring that all data products meet rigorous second-line-of-defense standards.
Beyond technical maintenance, you will act as a critical quality control point. This means performing change analysis and testing to guarantee that the data used for DNB’s public reporting and internal portfolio steering is accurate and timely. You will also be tasked with migrating legacy pipelines to modern orchestration tools like Airflow and dbt to enhance automation.
Ultimately, your mission is to provide transparency and reliability. By managing incident follow-ups and continuous improvement cycles, you ensure the Group Risk Management division can provide the CEO and Board with a clear, data-backed view of the bank’s sustainability risks and opportunities.
Key learning opportunities for this job
Candidates will gain deep exposure to modern data stack tools within a highly regulated environment. Working on DNB’s IPA platform (an implementation of AWS), you will master technologies such as dbt, Airflow, and Denodo. This is a prime opportunity to see how large-scale cloud migrations are handled in the financial sector while sharpening your skills in Python and SQL at an enterprise level.
From a thematic perspective, you will develop a sophisticated understanding of ESG risk integration. You will learn how climate and social metrics are converted into financial risk parameters and capital requirements. This provides a rare view into the mechanics of green finance and the specific regulatory frameworks governing the Nordic banking industry.
Furthermore, the role offers mentorship in risk governance. You will learn how an independent control function operates, gaining insight into the 'three lines of defense' model. This experience is invaluable for anyone looking to specialize in the intersection of data science and corporate sustainability compliance.
How does the ideal candidate look like (experience, skills)?
The ideal candidate is a technical specialist with a strong analytical mindset and experience in data engineering or analytics environments. You should be proficient in SQL and Python, with a proven ability to build and optimize data pipelines. Familiarity with AWS or similar cloud platforms is highly desirable, as is experience with visualization tools like Power BI.
Academic background should include a degree in Data Science, Computer Science, or Economics. While technical skills are paramount, DNB values candidates who can bridge the gap between business and technology. You need to be able to explain complex data issues to non-technical stakeholders and understand the business implications of data quality.
Prior experience in financial services or a large corporate risk function is an advantage but not a strict requirement if you possess high motivation to learn about DNB's core business. A proactive approach to problem-solving and a meticulous eye for detail are essential for maintaining the high standards of a second-line risk function.
Advice to stand out and make a successful application
To stand out, emphasize your experience with data quality and governance rather than just data analysis. DNB is looking for someone to 'build and maintain' reliable value chains, so highlighting projects where you improved pipeline reliability, implemented testing frameworks, or managed complex migrations will be highly effective.
In your application, demonstrate an understanding of why ESG data is uniquely challenging compared to traditional financial data—such as issues with data gaps, third-party providers, and shifting regulations. Showing that you have thought about the strategic importance of ESG for a bank with a large shipping and energy portfolio will signal high alignment with their corporate goals.
Although a cover letter is optional, using one to briefly explain your motivation for working at the intersection of risk and sustainability can set you apart. Ensure your CV clearly lists your technical stack, specifically mentioning any experience with tools like dbt, GitLab, or Airflow, as these are highly relevant to their current environment.
What aspects of the company's sustainability is this role likely to focus on?
This role focuses heavily on the Environmental and Governance pillars of ESG through the lens of risk management. A significant portion of your work will likely support DNB’s decarbonization targets, particularly for high-impact sectors like shipping, energy, and seafood. You will be helping to track the 'financed emissions' that are central to the bank's net-zero strategy.
From a governance perspective, the role is central to regulatory compliance and reporting. With the rollout of the CSRD and other EU taxonomies, the accuracy of ESG data has become a legal and reputational necessity. You will be building the systems that ensure DNB meets these evolving disclosure standards with high-integrity data.
There is also a strong focus on Portfolio Steering. By providing reliable data, you enable the bank to identify which clients are leading in the transition and which represent higher ESG risks. This data directly influences credit risk assessments and the bank's ability to allocate capital toward sustainable initiatives.
What are the main challenges someone in this role might face?
One of the primary challenges is the fragmented nature of ESG data. Unlike financial data, ESG metrics are often non-standardized and come from a mix of internal reports and external providers. Reconciling these different sources into a coherent, high-quality data product requires significant effort and technical ingenuity.
You may also face the challenge of evolving regulatory requirements. The landscape for sustainability reporting is moving quickly, meaning the data models you build today may need to be adapted tomorrow to meet new legal standards. Staying agile while maintaining robust governance is a delicate balancing act.
Lastly, working at the intersection of business and technology requires managing diverse expectations. You will need to translate the rigorous technical requirements of data engineering into terms that risk managers and business leaders can act upon, ensuring that technical limitations do not hinder strategic sustainability goals.
How could a typical day look like for someone in this position?
A typical day might begin with a stand-up meeting with the Risk Data & Systems team to review current data operations and any incidents in the IPA pipelines. You might spend the morning writing SQL or Python scripts to optimize a data delivery for an upcoming ESG disclosure report or investigating a data quality anomaly flagged by an automated monitor.
In the afternoon, you could transition to a collaborative session with business stakeholders to define requirements for a new Power BI dashboard. This involves understanding what risk metrics they need to see and determining how to map those to the bank's underlying data architecture. You might also spend time on platform migration tasks, such as moving a workflow into dbt.
Your day will often involve a mix of deep-focus technical work and cross-functional communication. Whether you are debugging an API connection or presenting data insights to a risk committee, the day is centered on ensuring that the ESG data value chain remains transparent, functional, and aligned with DNB’s strategic priorities.
What are the opportunities for professional growth and development in this role?
DNB offers a structured environment for professional development, with a clear path from Analyst to Senior Analyst and potentially into leadership or specialized architectural roles. As a central figure in Group Risk Management, you will have high visibility, providing opportunities to work on projects presented directly to the Board of Directors.
You can also pivot toward strategic ESG leadership or deeper data engineering specializations. The skills gained here—managing complex cloud-based risk systems—are in extremely high demand across the global financial sector. The bank's presence in 22 countries also opens doors for international exposure or internal mobility.
Furthermore, DNB encourages continuous learning. You will likely have access to certifications for AWS and other technical tools, as well as internal training on sustainability regulations. As the bank continues its digital and green transformation, the scope of this role is expected to expand, offering new challenges in automated risk steering and advanced ESG analytics.
The main stakeholders you might be interacting with
Your most frequent interactions will be with your immediate team in the Risk Data & Systems division, including data engineers, risk analysts, and data scientists. You will work closely with them to ensure the technical health and governance of the bank's risk infrastructure.
You will also engage with Business Units across the DNB Group, such as Corporate Banking and Wealth Management. These stakeholders are the primary 'consumers' of your data products, relying on your dashboards and reports to manage their portfolios and communicate with their own clients regarding sustainability.
Finally, you will interact with Internal Audit and external regulators indirectly by providing the data and documentation they need to verify DNB’s compliance. You may also deal with external ESG data providers, managing the APIs and data flows that bring third-party sustainability ratings and environmental metrics into the bank's internal systems.
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