Database Engineer (SQL) (PX)

Twisto; Warszawa; Remote; PLN 120,000 - 180,000; Full time

Job summary

A leading technology firm in Poland is seeking a Database Engineer with a strong focus on PostgreSQL. You will design and optimize database architectures while ensuring efficiency and scalability. The role involves collaborating with engineering teams and implementing best practices. The ideal candidate has 3+ years of experience and a solid understanding of AWS database services. This position offers flexibility with remote work options.

Benefits

Meaningful work & impact

Flexibility - fully remote

Learning culture

Modern tech stack

Qualifications

• 3+ years of experience as a Database Developer, focusing on PostgreSQL.
• Proven expertise in designing, optimizing, and managing large-scale, high-performance databases.
• Strong knowledge of AWS database services.

Responsibilities

• Design, develop, and optimize highly scalable database architectures.
• Lead the migration, optimization, and restructuring of existing databases.
• Implement and enforce database best practices.

Skills

PostgreSQL

SQL

AWS RDS

Python

Bash

CI/CD pipelines

Infrastructure as Code

Data Security

Tools

Terraform

Kubernetes

Apache Kafka

Airflow

Snowflake

Job description

As a Database Engineer (SQL), you will play a key role in designing, optimizing, and scaling our database infrastructure. You will collaborate closely with engineers, data analysts, and product teams to improve the current database architecture and build new high-performance, scalable, and secure databases tailored to our business needs.

• Design, develop, and optimize highly scalable database architectures with a focus on PostgreSQL.

• Lead the migration, optimization, and restructuring of existing databases to ensure efficiency and scalability.

• Implement and enforce database best practices, including indexing, partitioning, query optimization, and normalization.

• Define and execute high-availability and disaster recovery strategies.

• Work closely with engineering teams to ensure efficient database schema design and support the development of new features.

• Monitor and troubleshoot database performance, identifying and resolving bottlenecks.

• Ensure data security and compliance with industry standards, implementing encryption, access control, and auditing policies.

• Optimize stored procedures, triggers, and functions for maximum efficiency.

Technology Stack:

• Database: PostgreSQL (Primary), AWS RDS, SQL.
• Big Data & ETL: Apache Kafka, Airflow, dbt, Snowflake (nice to have).
• Performance Optimization: Indexing, Partitioning, Query Optimization, Caching.
• Security: Data Encryption, Role-Based Access Control (RBAC), Auditing.
• Tools & DevOps: Liquibase, Flyway, Terraform, Kubernetes (for DB management).
• Scripting & Programming: SQL, PL/pgSQL, Python, Bash.

Methodologies:

• Agile, Scrum.

What we can offer:

• Meaningful work & impact - Your solutions will shape Param Group’s AI strategy and directly influence our products and internal processes.
• Flexibility - Fully remote; an office is available if you’re near one of our locations.
• Learning culture - Work alongside fintech experts, experiment with new tech, and keep growing.
• Modern tech stack - AWS, PostgreSQL, Kafka, Airflow, dbt, Snowflake, and more.

Qualifications:

• 3+ years of experience as a Database Developer, focusing on PostgreSQL.
• Proven expertise in designing, optimizing, and managing large-scale, high-performance databases.
• Strong knowledge of AWS database services (RDS, Aurora, EC2-based PostgreSQL instances) and on-premise PostgreSQL deployments.
• Experience implementing HA (High Availability) & replication strategies (e.g., Patroni, PgBouncer, Streaming Replication).
• Deep understanding of query optimization, partitioning, indexing, caching, and concurrency control.
• Proficiency in backup/recovery strategies and disaster recovery planning.
• Hands‑on experience with CI/CD pipelines and Infrastructure as Code tools like Terraform, Ansible, or AWS CloudFormation.
• Experience in database security, ETL pipelines and data warehousing.
• Proficiency in SQL, PL/pgSQL and scripting languages like Python or Bash for automation.
• Familiarity with monitoring and alerting tools (AWS CloudWatch, Prometheus, Grafana, Datadog).
• Excellent English communication skills, with the ability to collaborate effectively with both technical and non-technical teams.