Analytics Engineer to Business & Retail Banking | SEB, Stockholm

SEB

Pargas

On-site

EUR 58,000 - 80,000

Full time

9 days ago
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Job summary

SEB is seeking an Analytics Engineer to build and maintain data infrastructure for reliable, business-ready datasets. You will translate requirements into scalable transformations, focusing on event- and user-level modeling, data quality, and cost efficiency.

In a cloud-first setting (GCP, BigQuery, Dataform), you will collaborate with analysts, engineers and stakeholders to deliver AI-ready insights. Based in Arenastaden, Solna, with a focus on secure, scalable data platforms.

Qualifications

  • Experience using SQL for data analysis or modelling.
  • Familiarity with dbt, Dataform or similar transformation framework.
  • Experience developing cloud-based data pipelines and models; exposure to Google Cloud Platform and BigQuery is a plus.
  • Understanding of building reliable and maintainable data solutions and data quality practices.
  • Familiarity with access management, metadata, Terraform, scripts, Git or DevSecOps is beneficial.
  • Strong communication and collaboration skills; good written and spoken English; Swedish is a plus.

Responsibilities

  • Design scalable, cost-efficient data transformation pipelines.
  • Develop event-based and cross-channel data models; define data at event, session and user level.
  • Validate data, monitor quality, troubleshoot pipelines and data issues.
  • Collaborate with stakeholders, engineers, architects and platform teams to deliver value.
  • Contribute to cloud-based data and analytics platform in a modern cloud environment.

Skills

SQL
Communication
English proficiency
Problem-solving
Curiosity

Tools

dbt
Dataform
Google Cloud Platform
BigQuery
Terraform
Git

Job description

Are you passionate about turning complex data into trusted, scalable and business-ready solutions? Would you like to shape the foundation for how digital behavioural data is used across a leading financial institution—and help make it ready for both people and AI? If so, this could be an opportunity for you!

The Business & Retail Banking (BRB) division is strengthening the Data, Analytics & CIO organization to accelerate our journey towards a more data-driven and customer-centric bank. You will join a team of highly engaged data and analytics professionals and report to Magnus Klint, Head of Customer Insight Analytics.

About the job

As an Analytics Engineer, you will create and maintain the data infrastructure, architecture and models that make digital behavioural data reliable, understandable and easy to use for analysis, reporting and emerging AI-enabled use cases.

You will translate business requirements into sustainable technical and data solutions, taking ownership from agreed requirements through implementation and production. Your work will include designing scalable and cost-efficient transformation pipelines, developing event-based and cross-channel data models, and creating consistent definitions at event, session and user level.

You will also validate data, monitor quality, troubleshoot pipeline and data issues, and continuously improve maintainability, performance and cost. An important part of the role is ensuring that datasets, metadata, documentation and business definitions are trustworthy and suitable for downstream consumption by analysts, business users and AI models.

Working in a modern cloud environment, you will contribute hands‑on to solutions using technologies such as Google Cloud Platform with focus on BigQuery & Dataform, SQL, JavaScript, Terraform and Git‑based development workflows. You will support secure access management and collaborate closely with business stakeholders, analysts, engineers, architects and platform teams to deliver solutions that create measurable business value.

You will be part of building BRB’s cloud‑based data and analytics platform and shaping new ways of working. This is an opportunity to combine technical depth with business proximity, influence our future data landscape and explore how semantic definitions and new AI technologies can accelerate insight generation.

The position is based in Arenastaden, Solna.

To thrive in this role, we believe you have:

We are looking forsomeone with a few years of relevant experience in analytics, dataengineeringor digitalbehaviouraldata who is ready to take the next step in their career. You may currently work asan Analytics Engineer,Data Engineeror in a related role,andhave gainedpracticalexposure to data modelling and cloud-baseddata transformation. Relevant academic training or equivalent professional experience is valuable, but we are equally interested in your curiosity, problem‑solvingabilityand motivation to grow in the role.

  • You have practical experience using SQL for data analysis or modelling, together with some familiarity with dbt,Dataformor a comparable transformation framework.

  • You have experience in developing cloud-based data pipelines and models, while exposure to Google Cloud Platform and BigQuery is an advantage.

  • Experience with event-based or digitalbehaviouraldata from web or app environments is beneficial, but not essential.

  • You understand the principles of building reliable and maintainable data solutions and are motivated to develop your skills in data quality,performanceand troubleshooting.

  • Familiarity with areas such as access management, metadata, Terraform,scripts, Git orDevSecOpsis beneficial, but we do not expect you to be an expert in all of them.

  • You also havegood communicationand collaboration skills, an interest in working between business needs and technical implementation, and good written and spoken English. Swedish is an advantage.

You are structured,analyticaland curious, with a natural drive to solve problems and improve how things work. You enjoy collaborating with others, are comfortable taking responsibility for yourworkand are eager to continue developing your technicalexpertise.Above all, youare motivated by making complex data easier to trust,understandand use.

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.

If you have questions about the position, please contact Magnus Klint, magnus.klint@seb.se, note that we will not process applications via email.

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, which means that this position might be covered by internal redeployment.

The employment is covered by collective agreements signed between Finansarbetsgivarna and Akademikerföreningen and between Finansarbetsgivarna and Finansförbundet.

Learn more about working at SEB on our Career website or through our Career podcasts.

sebgroup.com/career

bit.ly/SEBcareer

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