Cloud Data Engineer – GCP, Data Platforms & Automation | SEB, Solna
Technology, Data & Digital · Data, AI & Analytics · Data Engineering
In short
Responsibilities
- Design, build and maintain data pipelines covering ingestion, orchestration, transformation and delivery.
- Provision and maintain cloud infrastructure using Terraform and reusable infrastructure components.
- Develop and improve CI/CD pipelines, automated checks and deployment practices.
- Investigate production issues across pipelines, infrastructure and service dependencies, and implement improvements.
- Build monitoring, alerting and data quality controls.
- Develop reusable Python components and engineering patterns.
- Apply appropriate access controls and data governance practices.
- Collaborate on solution design, contribute to PI planning and help onboard new teams.
- Identify opportunities to simplify manual work and improve platform operations through automation.
- Help develop and evaluate AI use cases, integrating useful solutions into existing workflows.
Requirements
- Several years of relevant software, cloud or data engineering experience.
- Strong Python and SQL skills, with experience writing maintainable code and appropriate automated tests.
- Practical experience building and operating production data pipelines, including investigating failures and implementing lasting fixes.
- Hands-on cloud infrastructure experience, preferably on GCP, with an understanding of service configuration, dependencies and access controls.
- Infrastructure as Code experience, preferably Terraform, including maintaining and troubleshooting existing infrastructure.
- Experience developing and maintaining CI/CD pipelines and working with Git, pull requests and code reviews.
- Experience with orchestration tools, such as Airflow, including scheduling, dependencies, retries and troubleshooting.
- An understanding of data architecture and modelling.
- Experience with monitoring, logging and data quality controls for production solutions.
- An improvement mindset: you question repetitive work, look for opportunities to automate and take initiative to turn ideas into practical improvements.
- An interest in applying AI to engineering and business problems, with a willingness to experiment and assess whether a solution delivers useful results.
- A collaborative approach and the ability to explain technical decisions and trade-offs clearly.
Desired Qualifications
- Deeper experience with GCP services such as BigQuery, Pub/Sub and Cloud Run.
- Experience with Dataform or dbt.
- Containerisation experience, for example with Docker.
- Experience with event-driven systems and streaming, including retries, duplicate handling and idempotency.
- Knowledge of dimensional modelling or Data Vault.
- Experience with data catalogues, metadata, lineage or governance tooling.
- Practical experience using LLMs in development workflows or building AI-enabled tools and applications, through professional work or personal projects.
Benefits
- Skilled, caring and collaborative colleagues.
- The opportunity to influence a cloud data platform supporting important business and regulatory needs.
- A broad engineering role with ownership and opportunities to develop.
- Opportunities to explore AI use cases and turn automation ideas into solutions.
- Attractive compensation and benefits.
- Access to SEB staff banking with exclusive benefits.
Skills
SEB is a leading northern European financial services group with a strong belief that entrepreneurial minds and innovative companies are key in creating a better world. SEB takes a long-term perspective and supports its customers in good times and bad. In Sweden and the Baltic countries, SEB offers financial advice and a wide range of financial services. In Denmark, Finland, Norway and Germany the bank's operations have a strong focus on corporate and investment banking based on a full-service offering to corporate and institutional clients.
Company
SEBJob Posted
5 days ago
Employment Type
Full Time
Work mode
Hybrid
Experience Level
Mid-Senior
Locations
Solna, Sweden
Applicants
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