Cloud Engineer with a passion for Data Engineering and AI-Data enablers | SEB, Solna

SEB; Solna kommun; On-site; SEK 650,000 - 900,000; Full time

Benefits offered by this job

Competitive compensation and benefits

SEB staff banking benefits

Innovative tech environment

Job summary

SEB is seeking a cloud-focused data engineer to join our Data, Analytics and Reporting team in Stockholm. You will design, build and maintain scalable data pipelines on GCP, collaborate across squads, and drive data quality, governance and automation.

You will work with Python, SQL, Airflow and CI/CD, contribute to reusable patterns, and help onboard new teams to the platform. Experience with data architectures and modern data platforms is valued.

Qualifications

• Several years of experience in software or data engineering.
• Strong proficiency in Python and SQL.
• Experience building and maintaining scalable data pipelines.
• Experience working with cloud-based data platforms (preferably GCP).
• Experience with orchestration or workflow tools (e.g., Airflow or similar).
• Understanding of modern data architectures (e.g., Data Warehouse, Data Lake).
• Proven experience working with CI/CD pipelines and Git-based development workflows.
• A collaborative mindset and ability to work effectively in cross-functional teams.
• Experience using LLMs as part of your development workflow, either professionally or through personal projects.

Responsibilities

• Design, build, and maintain scalable cloud-native data pipelines on GCP.
• Contribute to ingestion, orchestration, transformation, monitoring, and governance of data.
• Drive CI/CD, automation, observability improvements, and onboarding of new teams to the platform.

Skills

Python

SQL

Data pipelines

GCP

Airflow

CI/CD

Git

LLMs

Tools

Docker

BigQuery

Job description

Join our Data, Analytics and Reporting team to push us further working on or data platform.

SEB is more than a bank. We are a technology-driven financial institution where everything starts from our customer needs and business outcomes. AI, data and modern engineering are natural parts of how we work, build and deliver value. From core banking platforms to agentic AI, automation, cybersecurity and cloud, we offer a broad tech landscape and many paths to grow. Together, we are shaping secure, responsible and future- proof solutions for our customers and society. Are you ready to take on a new challenge?

About the role

We are a cloud engineering team responsible for a wide range of data deliveries for reporting and analytical purposes, often driven by legal and regulatory requirements. We continue to build on our data platform in GCP including identifying ways to improve our analytics and reporting capabilities be it ai agents or any other automation or efficiency enablers. We also enable other teams on the platform to build their business data products within our domain.

In this position You will regularly communicate and collaborate with colleagues in and out of the team. You will work on the agile ceremonies in the team and drive the PI planning together with our PO. You will design, build, and maintain scalable and reliable cloud-native data pipelines and platform capabilities on GCP. You will contribute to ingestion, orchestration, transformation, monitoring, and operational improvements across the platform, while helping ensure data quality, governance, and maintainability.

The role also includes contributing to reusable engineering patterns, CI/CD and automation practices, observability improvements, and onboarding of new teams and consumers onto the platform.

To thrive in this role, we believe you have

• Several years of experience in software or data engineering
• Strong proficiency in Python and SQL
• Experience building and maintaining scalable data pipelines
• Experience working with cloud-based data platforms (preferably GCP)
• Experience with orchestration or workflow tools (e.g., Airflow or similar)
• Understanding of modern data architectures (e.g., Data Warehouse, Data Lake)
• Proven experience working with CI/CD pipelines and Git-based development workflows
• A collaborative mindset and ability to work effectively in cross-functional teams
• Experience using LLMs as part of your development workflow, either professionally or through personal projects.

Nice-to-have skills:

• Google Cloud Platform services such as BigQuery and Pub/Sub
• Containerization (e.g., Docker)
• Event-driven architectures and streaming data
• Advanced data modelling techniques (e.g., Dimensional Modelling, Data Vault)
• Data quality, monitoring, and observability practices
• IAM, secure access, and data governance principles
• Building robust and highly reliable data systems

What we offer

• Working with skilled, caring, passionate and progressive team members
• Opportunities to help transform an industry
• Innovative company in forefront of technology
• Attractive compensation and benefits
• Access to SEB staff banking with exclusive benefits

Do you want to be part of SEB?

It is our fundamental belief that inclusion and diversity is crucial for our future success. We strive to have an inclusive, value-driven culture where employees feel valued, respected, and involved irrespective of who they are, what they believe or where they come from.

Please be aware that our final candidates undergo background checks, a process that includes for example identity control, verification of qualifications, credit checks, company engagements and history of crime. In some cases, we also apply random drug checks. During employment, employees within SEB can also expect to undergo recurring background checks.

SEB Sweden has a redeployment responsibility, why this position might be covered by internal redeployment.

Learn more about working at SEB on our Career website or through our Career podcasts. https://sebgroup.com/career