Data Engineer

We are hiring Data Engineer for Sweden.

Job Summary:

We are seeking an experienced Data Engineer for hands-on software and data engineering in AWS. You will take data pipelines and engineering services through design, development, testing and deployment into secure, reliable operation, supplying data to business applications, operational processes, reporting and AI workloads. As part of a cross-functional engineering team, you will contribute to common platform capabilities alongside data products and pipelines for specific sources. Production code, infrastructure, automation and service reliability are central to the assignment. This is not a Data Analyst position; dashboard development and ad hoc analysis are not its primary focus.

Educational Qualification: Bachelor’s degree in Computer Science, or related field, or equivalent professional experience. 

Key Responsibilities:

• Build scalable pipelines with Python and Spark, API integrations and Kafka-based ingestion; create reusable components for ingestion and orchestration.
• Provision AWS resources through Terraform; implement access controls, encryption and secrets management.
• Write automated tests at unit, integration and data-contract level, with reconciliation checks and data validation.
• Monitor pipelines and infrastructure, investigate incidents, maintain alerts and recovery procedures, and prevent recurring problems.
• Identify performance constraints and optimise resource usage and cloud expenditure.
• Contribute to design decisions, estimates, migration work and controlled deployments.
• Maintain technical documentation, share knowledge and use approved AI-assisted development tools, with generated code properly reviewed and tested.

Technical Skills & Expertise:

• Strong hands-on Python and AWS experience building, deploying and maintaining production-grade data pipelines or data platform services in cloud environments.
• Batch and streaming pipelines with Apache Spark, Kafka and APIs, and orchestration tools such as Apache Airflow.
• Practical AWS experience (S3, IAM, encryption, logging, networking) and understanding of infrastructure as code, preferably Terraform.
• Experience with containerised workloads and Kubernetes / EKS.
• SQL and experience with data structures, schemas, file formats and data modelling.
• Knowledge of data quality, monitoring, observability and production support.
• Development workflows with Git, code reviews, automated testing and CI/CD.
• Degree in Computer Science, Engineering or a related subject, or equivalent practical experience.
• Merit: experience in banking or another regulated industry; relevant AWS certifications; legacy data migration; dbt and modern data transformation practices.

Soft Skills:

• Fluent English and strong technical communication, able to explain the reasoning behind engineering decisions.
• Ownership mindset and comfort working through complex technical problems.
• Collaborative, working readily with developers, architects and other stakeholders.
• Proactive in flagging risks and issues, with a focus on quality, security and operational stability.