Purpose

As our Senior Data Engineer, you will be the sole architect and enabler of our entire data ecosystem in a dynamic scale-up environment. This is a unique opportunity to build and own our data infrastructure from the ground up, with a strong focus on AWS technologies, particularly Redshift, DynamoDB, RDS. You'll design and implement sophisticated data pipelines, including reverse ETL processes that push insights back into our operational systems, directly impacting how we serve millions of users globally.

In this high-impact role, you'll work autonomously while collaborating closely with product, engineering, and growth teams. Your work will be the foundation for data-driven decision-making across the entire organization, with direct visibility to leadership and meaningful influence on company strategy.

This position will be fully remote in Poland, hired via an EoR.

Rebrandly does not sponsor work authorization needs; candidates must reside in, and have proper work authorization to work for any employer in Poland, without sponsorship from the company.

About You

You're an experienced data engineer who thrives in fast-paced scale-up environments where you can make an immediate impact. You excel at working independently, making architectural decisions, and building robust data systems from scratch. You have deep expertise in AWS data technologies, particularly Redshift and DynamoDB, and understand how to leverage these tools to build scalable, performant data infrastructure. You're passionate about not just collecting and storing data, but actively pushing insights back into business operations through reverse ETL processes. You have strong communication skills that enable you to collaborate effectively in a remote distributed team environment, with the ability to clearly articulate technical concepts to both technical and non-technical stakeholders. You excel at independent project management and take full ownership of deliverable timelines, ensuring commitments are met while balancing multiple priorities.

What You'll Do

Own the Entire Data Domain:

• Serve as the sole data engineer responsible for architecting, building, and maintaining our complete data infrastructure
• Make critical architectural decisions that will shape our data strategy for years to come
• Build a robust data platform that scales with our rapid growth from tens of thousands to millions of users

Build on AWS Foundation:

• Design and optimize our AWS Redshift data warehouse as the central hub for analytics
• Implement efficient data ingestion from AWS RDS, AWS DynamoDB and other NoSQL sources
• Leverage AWS services (Lambda, Glue, Kinesis, S3) to create a modern data stack
• Optimize query performance and manage Redshift cluster scaling strategies

Implement Reverse ETL:

• Build sophisticated reverse ETL pipelines to operationalize insights
• Push enriched data back to production systems, CRM, marketing automation, and customer success tools
• Create real-time data activation frameworks that enhance user experiences
• Design feedback loops that enable data-driven product features

Drive Scale-up Success:

• Rapidly prototype and deploy data solutions to support aggressive growth targets
• Balance speed with reliability in a fast-moving environment
• Build self-service analytics capabilities to empower teams across the organization
• Establish data governance practices that scale with minimal overhead

Technical Leadership:

• Define data engineering best practices and standards for the organization
• Mentor other engineers on data concepts and AWS technologies
• Partner with stakeholders to translate business needs into technical solutions
• Champion data quality and reliability across all systems

We'd Love To Hear From You If You Have:

Required:

• 5+ years of hands-on experience with AWS Redshift, including performance optimization, cluster management, and advanced SQL
• 3+ years working with AWS RDS, DynamoDB and NoSQL data modeling patterns
• Proven experience building reverse ETL pipelines and data activation frameworks
• Strong Python or similar programming skills for data pipeline development
• Experience as a solo data engineer or leading data initiatives independently
• Track record of building data infrastructure in scale-up environments (Series A-C)
• Expertise in modern data stack tools (dbt, Airflow, Census, Fivetran, or similar)
• Experience with streaming data architectures and real-time analytics
• Deep understanding of data warehouse design patterns and dimensional modeling
• Proficiency in Infrastructure as Code (Terraform preferred) for AWS resources
• Strong written and verbal communication skills with proven ability to work effectively in remote distributed teams
• Demonstrated experience in independent project management with a track record of owning and delivering complex data projects on schedule
• Previous experience working in SaaS companies with an understanding of SaaS-specific data challenges and metrics

Technical Skills:

• Advanced SQL and query optimization techniques
• Experience with CDC (Change Data Capture) patterns
• API development for data services (REST/GraphQL)
• Data quality frameworks and monitoring
• Cost optimization strategies for AWS data services
• Experience with data cataloging and metadata management
• Experience with SaaS-specific data patterns including multi-tenancy, subscription analytics, and usage-based metrics

Scale-up and AI-First Mindset:

• AI-First Mindset with solving data engineering challenges
• Comfortable with ambiguity and rapid change
• Ability to deliver MVPs quickly while planning for scale
• Experience wearing multiple hats in lean teams
• Strong business acumen and understanding of SaaS metrics
• Self-directed with excellent prioritization skills

While It's Not Required, It's An Added Plus If You Also Have:

• Experience with AWS Kinesis for real-time data streaming
• Knowledge of AWS SageMaker or ML pipeline development
• Experience with customer data platforms (CDPs)
• Background in product analytics and experimentation frameworks
• Previous experience at PLG companies
• Contributions to open-source data tools

This Position Offers:

• Complete ownership of the data engineering domain
• Direct impact on company strategy and growth
• Opportunity to build a data platform from scratch
• High visibility across all levels of the organization
• Remote-first culture with flexible working arrangements
• Competitive compensation

Rebrandly is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.