Data Engineer - Hybrid: AWS Pipelines & AI Tools

Symple Lending, Inc.; Kirkkonummi; Hybrid; EUR 80,000 - 125,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Mentorship from Senior Data Engineer

Ownership of production systems

Exposure to AWS cloud tooling

Professional growth opportunities

Employee referral program

Job summary

Symple Lending, Inc. is seeking a Data Engineer to maintain and optimize cloud data pipelines and build scalable data solutions. You will work with our Senior Data Engineer to implement AWS-based infrastructure and dbt transformations.

You will contribute to production systems, ensure data accuracy, and collaborate with engineering teams while adopting AI-assisted tools to streamline workflows. This role offers a hybrid work arrangement and growth opportunities.

Qualifications

• 3-5 years of professional experience in data engineering or related technical role.
• Strong SQL skills and experience with cloud data warehouses (Redshift, Snowflake, BigQuery).
• Proficiency in Python for data pipelines and automation.

Responsibilities

• Maintain and optimize production data pipelines using AWS technologies like S3, Redshift, ECS, and SFTP integrations.
• Build, test, and maintain dbt models for reliable data transformations.
• Monitor pipeline performance, data accuracy, and system health; troubleshoot issues.
• Ensure security and compliance through updates, patches, and vulnerability remediation.
• Collaborate with engineering teams using Git, PRs, and CI/CD processes.
• Leverage AI-assisted development tools to improve efficiency in workflows.
• Develop technical documentation and communicate updates across teams.
• Partner with Senior Data Engineer on infrastructure improvements.

Skills

SQL

Python

AWS

Data pipelines

Git & CI/CD

Problem solving

Communication

Tools

Amazon Redshift

Snowflake

BigQuery

dbt

S3

Docker

Job description

Symple Lending, Inc. is seeking a Data Engineer to maintain and optimize cloud data pipelines and build scalable data solutions. You will work with our Senior Data Engineer to implement AWS-based infrastructure and dbt transformations.

You will contribute to production systems, ensure data accuracy, and collaborate with engineering teams while adopting AI-assisted tools to streamline workflows. This role offers a hybrid work arrangement and growth opportunities.