Senior Data Engineer (AWS)
Gothenburg, Gothenburg, Sweden
Full Time
Experienced
Job Title: Senior Data Engineer (AWS)
Experience: 6–8 Years
Location: Stockholm - Sweden
Industry: Retail / Data & Analytics
Job Summary
We are seeking highly skilled and innovative Senior Data Engineers (AWS) to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments.
This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using AWS services.
- Build and optimize ETL/ELT processes using AWS Glue and DBT (Data Build Tool).
- Manage and configure data workflows and orchestration within the Orion framework.
- Develop and maintain configuration files and ensure seamless integration across systems.
- Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.
- Optimize data processing performance and ensure data quality and reliability.
- Work on data modeling, transformation, and warehousing solutions.
- Implement best practices for data governance, security, and compliance.
- Troubleshoot and resolve data-related issues across pipelines and infrastructure.
- Contribute to continuous improvement and innovation in data engineering practices.
Required Skills & Expertise
- Strong experience with AWS ecosystem, including:
- AWS Glue
- Amazon S3
- AWS Lambda
- Amazon Redshift / RDS
- Hands-on expertise in DBT (Data Build Tool) for data transformation.
- Solid understanding of data pipeline architecture and ETL/ELT processes.
- Experience working with Orion framework and handling configuration-driven workflows.
- Good understanding of networking concepts within AWS environments (VPC, subnets, security groups).
- Proficiency in SQL and Python for data processing.
- Experience with version control systems (Git).
- Familiarity with CI/CD pipelines for data workflows.
Preferred Qualifications
- Experience in retail or supply chain data environments.
- Exposure to real-time data processing and streaming frameworks.
- Knowledge of data lake and lakehouse architectures.
- AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect).
Key Competencies
- Strong analytical and problem-solving skills
- Innovative mindset with a focus on continuous improvement
- Ability to work in high-performance, collaborative teams
- Excellent communication and stakeholder management skills
- Ownership and accountability for deliverables
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