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Data Engineer - Sustainability & ESG Reporting

PostNord Sweden Added on Sep 7, 2026
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PostNord is establishing a new ESG data foundation, and this role is the technical engine behind it. You will own the design and maintenance of scalable data pipelines that transform raw operational and financial data into trusted sustainability insights. By building fact- and dimension-based models within an Azure-based environment, you will bridge the gap between complex technical infrastructure and regulatory reporting needs.

This position is critical because logistics is one of the most carbon-intensive sectors. Your work directly enables the transparency required for CSRD compliance and helps the Group manage its climate impact across the Nordics. By ensuring every parcel’s environmental footprint is accurately recorded and auditable, you provide the data-driven evidence needed to accelerate the green transition in transportation.

This suits someone who possesses strong data engineering fundamentals in Databricks or Spark and wants to apply those skills to a high-impact, purpose-driven domain rather than just standard commercial analytics.

Preguntas frecuentes

What are the main missions and responsibilities of this role?

The primary mission is to build and maintain the ESG data foundation that powers all sustainability reporting across the PostNord Group. You will be responsible for designing fact- and dimension-based data models that capture complex sustainability logic from raw sources. Beyond technical modeling, you will own the end-to-end ETL/ELT pipelines, integrating data from diverse operational, financial, and external sources. The goal is to create a self-service architecture where sustainability specialists and business leaders can access trusted, high-quality data for both statutory requirements and internal performance management.

Key learning opportunities for this job

You will gain deep expertise in regulatory reporting frameworks like the Corporate Sustainability Reporting Directive (CSRD), understanding how these requirements translate into technical data architectures. This role offers a unique chance to apply modern data engineering tools to a non-traditional domain. Technically, you will sharpen your skills within a Medallion architecture using Azure and Databricks. Working inside an Analytics Center of Excellence provides exposure to enterprise-grade standards for data lineage, auditability, and scalable pipeline development.

How does the ideal candidate look like (experience, skills)?

The ideal candidate is a seasoned Data Engineer who understands enterprise-grade data warehousing and has a passion for sustainability. Proficiency in SQL, Python, or PySpark is essential, alongside a strong grasp of data modeling principles for complex business logic. Soft skills are just as important; you should be a collaborative communicator capable of translating technical possibilities to non-technical sustainability experts. Experience with Power BI and CI/CD pipelines in an Azure DevOps environment will make your profile particularly competitive.

Advice to stand out and make a successful application

Focus your application on your ability to handle unstructured or messy data sources and transform them into auditable reports. PostNord needs to know you can build systems that withstand the scrutiny of external auditors, so emphasize your experience with data quality and lineage. Research their latest Sustainability Report to understand their specific KPIs. In your cover letter, mention how your technical background in Databricks or Azure can specifically solve the challenges of tracking emissions across a vast, multi-country logistics network.

What aspects of the company's sustainability is this role likely to focus on?

This role is central to PostNord’s decarbonization strategy. By tracking energy usage, transport efficiency, and supplier behavior, you provide the data necessary to measure progress against climate targets. It is about moving from generic estimates to precise, data-driven climate impact assessments. Additionally, the role focuses heavily on social responsibility and governance. You will likely integrate social KPIs and supply chain data to ensure the company meets its broader ESG commitments beyond just carbon emissions.

What are the main challenges someone in this role might face?

One of the main hurdles will be data fragmentation across different Nordic countries and operational units. Consolidating legacy systems into a unified, clean ESG data lake requires significant technical rigor and patience for requirement mapping. Another challenge is the evolving regulatory landscape. As CSRD and other standards shift, you must ensure the data pipelines remain flexible enough to adapt to new reporting requirements without requiring a complete rebuild of the architecture.

How could a typical day look like for someone in this position?

A typical day might begin with a stand-up meeting in an agile SAFe environment to coordinate with the central data platform team. You might spend several hours developing new Spark jobs in Databricks or refining a dimension model to better reflect transport emissions data. The afternoon could involve a collaborative workshop with sustainability specialists to define the logic for a new internal KPI. You would conclude the day by ensuring your pipelines are running smoothly and that the data lineage is properly documented for upcoming audit cycles.

What are the opportunities for professional growth and development in this role?

Growth in this role is significant as PostNord continues its data-driven transformation. You could eventually move into a Lead Data Engineer position or specialize as an ESG Data Architect, shaping the long-term strategy for sustainability tech. Given the role sits in a Center of Excellence, you have high visibility across the Group. Successfully launching this ESG foundation could lead to opportunities in broader analytics leadership or strategic roles at the intersection of technology and corporate purpose.

The main stakeholders you might be interacting with

You will work most closely with sustainability experts and compliance officers who define the reporting requirements. They rely on your technical expertise to turn their regulatory needs into functional data products. Internal technical stakeholders include the Central Data Platform team and Power BI developers. Externally, your work will eventually be scrutinized by third-party auditors, making them indirect but crucial stakeholders in the way you design for transparency.

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