Data Engineer

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

Hybrid Position - Tampa, Florida

Symple Lending is an innovative fintech company at the forefront of transforming the lending industry by empowering customers on their journey to financial freedom. Our commitment lies in providing seamless and efficient lending solutions to our customers.

We are seeking a talented and motivated Data Engineer to join our growing team! In this role, you’ll work directly with our Senior Data Engineer to maintain and enhance the cloud infrastructure and data pipelines that power our business. You’ll gain hands-on experience with modern AWS technologies, take ownership of production systems, and help build scalable data solutions in a fast-paced, technology-driven environment.

What You’ll Be Doing:

• Maintain and optimize production data pipelines using AWS technologies, including S3, Redshift, ECS, and SFTP integrations.

• Build, test, and maintain dbt models to ensure reliable and efficient data transformations.

• Monitor pipeline performance, data accuracy, and system health while troubleshooting and resolving issues.

• Maintain security and compliance through system updates, dependency upgrades, vulnerability remediation, and patching.

• Collaborate with engineering teams using Git, pull requests, code reviews, and CI/CD processes.

• Leverage AI-assisted development tools such as Claude and Cursor to improve efficiency and streamline engineering workflows.

• Develop technical documentation, maintain operational procedures, and communicate system updates across teams.

• Partner with the Senior Data Engineer on infrastructure improvements and scalable data solutions.

What You’ll Bring:

• 3-5 years of professional experience in data engineering or a related technical role.

• Strong SQL skills and experience with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery.

• Proficiency in Python for data pipelines, scripting, and automation.

• Hands-on experience with AWS services, including S3, IAM, ECS, or Lambda.

• Production experience with dbt and data transformation workflows.

• Experience using Git, pull requests, and collaborative code-review practices.

• Knowledge of security best practices, system monitoring, dependency management, and vulnerability remediation.

• Familiarity with AI-assisted development tools and an interest in incorporating AI into daily workflows.

• Strong problem-solving, communication, and collaboration skills.

Bonus Points For:

• Experience with Docker, ECS/Fargate, Terraform, or CloudFormation.

• Familiarity with AWS EventBridge, SQS, or other event-driven architectures.

• Experience with security tools such as Dependabot, Snyk, or AWS Inspector.

• Background in financial services, lending, or another regulated industry.

• Exposure to machine learning pipelines or Amazon SageMaker.

Why Work for Symple Lending:

• Competitive salary

• Comprehensive health, dental, and vision insurance.

• Direct mentorship from an experienced Senior Data Engineer.

• Opportunity to take ownership of production systems and make a meaningful impact.

• Hands-on exposure to modern AWS cloud infrastructure and AI-driven engineering tools.

• A positive and collaborative work culture.

• Paid time off.

• Professional growth and development opportunities.

• Employee referral bonus program.

Symple Lending is an equal opportunity employer and encourages candidates of all backgrounds to apply.