Graph Database Developer (all humans) at Erste Digital GmbH

📍 Job Overview

Job Title: Graph Database Developer (all humans)
Company: Erste Digital GmbH
Location: Vienna, Austria
Job Type: Full-Time
Category: Backend Developer
Date Posted: 2025-06-24
Experience Level: Mid-Level (2-5 years)
Remote Status: On-site

🚀 Role Summary

Design and develop graph database schema and queries, implementing data models, and optimizing database performance.
Collaborate with other developers, data architects, and data analysts to ensure effective data management.
Work with graph database technologies such as Neo4j, ArangoDB, or other relevant technologies.
Contribute to the digital future of Erste Group, making a difference in the financial lives of millions of people.

📝 Enhancement Note: This role requires a strong background in graph database technologies and a solid understanding of data modeling and database design principles. Candidates should be comfortable working collaboratively with other teams and have excellent problem-solving skills.

💻 Primary Responsibilities

Database Design & Development: Design and develop graph database schema and queries, implementing data models, indexing strategies, and graph algorithms.
Data Management: Develop ETL pipelines to extract and load data into the graph database, ensuring data integrity and performance.
Performance Optimization: Optimize database performance and scalability, testing and debugging code to resolve performance issues.
Collaboration: Work closely with other developers, data architects, and data analysts to ensure effective data management and integration with other systems.
Problem-Solving: Identify and resolve complex database-related issues, contributing to the continuous improvement of data management processes.

📝 Enhancement Note: This role requires a deep understanding of graph database concepts and the ability to apply this knowledge to real-world data management challenges. Candidates should be comfortable working in a collaborative environment and have strong problem-solving skills.

🎓 Skills & Qualifications

Education: A bachelor's degree in Computer Science, Information Technology, or a related field. Relevant coursework in databases, data structures, and algorithms is preferred.

Experience: 2-5 years of experience in graph database development, with a strong portfolio demonstrating proficiency in graph database technologies, data modeling, and database design principles.

Required Skills:

Programming skills in Java, Python, or other relevant languages.
Experience with graph database technologies (such as Neo4j, ArangoDB, or other).
General understanding of graph database concepts and graph theory.
Familiarity with data modeling and database design principles.
Experience with software development best practices.
Problem-solving and analytical skills.
Good communication skills, ability to work collaboratively.

Preferred Skills:

Experience with ETL tools and data pipeline development.
Familiarity with cloud-based database solutions (e.g., AWS, GCP, Azure).
Knowledge of data visualization tools (e.g., Tableau, Power BI).
Experience with Agile development methodologies.

📝 Enhancement Note: While not explicitly stated, having experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) tools would be beneficial for working in a modern, scalable database environment.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate proficiency in graph database schema design and query optimization through previous projects.
Showcase experience with graph algorithms and data modeling techniques.
Highlight successful data migration and ETL pipeline projects.
Include examples of performance optimization and scalability improvements.

Technical Documentation:

Document code quality, commenting, and documentation standards for graph database development.
Include version control, deployment processes, and server configuration details.
Demonstrate understanding of testing methodologies, performance metrics, and optimization techniques specific to graph databases.

📝 Enhancement Note: While not explicitly stated, providing examples of how you have integrated graph databases into larger data ecosystems and worked with other teams to ensure data consistency would be beneficial.

💵 Compensation & Benefits

Salary Range: The minimum wage for this position is EUR 53,802 gross per year. However, the company is open to discussing your actual expectations.

Benefits:

Health Centre: The Erste Campus operates a fully equipped health center that offers all employees a high standard of medical services during working hours.
Employee Benefits: Benefit from special conditions for financial services and insurances, supermarkets, clothing stores, and many more.
Employee Referral Program: Become a talent scout for career opportunities in IT. We are rewarding every successful referral for Erste Digital.

Working Hours: The standard working week is 40 hours, with flexibility for project deadlines and maintenance windows.

📝 Enhancement Note: While not explicitly stated, the salary range provided is likely to be negotiable based on the candidate's skills, experience, and the current market demand for graph database developers.

🎯 Team & Company Context

🏢 Company Culture

Industry: Erste Group is the largest banking group in Central and Eastern Europe, with over 2,500 branches and more than 45,000 employees. The company's digital division, Erste Digital, focuses on driving innovation and digital transformation in the financial sector.

Company Size: With over 2,000 IT experts and enthusiasts, Erste Digital is a significant player in the tech industry, offering ample opportunities for collaboration and knowledge-sharing.

Founded: The company was founded in 1819, with a rich history in banking and finance. In recent years, it has invested heavily in digital technologies to remain competitive in the modern financial landscape.

Team Structure:

The graph database development team is part of the larger data management and analytics division within Erste Digital.
The team consists of developers, data architects, and data analysts, working collaboratively to ensure effective data management and integration.
The team works closely with other departments, such as product development, marketing, and customer service, to drive data-informed decision-making and improve customer experiences.

Development Methodology:

The team follows Agile development methodologies, with a focus on continuous integration, testing, and deployment.
They use version control systems (e.g., Git) to manage code changes and facilitate collaboration.
The team employs CI/CD pipelines to automate deployment and ensure consistent, high-quality releases.

Company Website: Erste Group

📝 Enhancement Note: While not explicitly stated, the company's focus on innovation and digital transformation suggests a dynamic and forward-thinking work environment. Candidates should be comfortable working in an agile, collaborative setting and be open to embracing new technologies and approaches.

📈 Career & Growth Analysis

Web Technology Career Level: This role is suited to a mid-level developer with 2-5 years of experience in graph database development. The position offers opportunities for career growth, including technical leadership and architecture roles.

Reporting Structure: The graph database developer reports directly to the data management and analytics team lead, collaborating with other developers, data architects, and data analysts to ensure effective data management.

Technical Impact: The role has a significant impact on the company's data management strategies, ensuring accurate, reliable, and performant data for decision-making and customer experiences.

Growth Opportunities:

Technical Growth: Deepen your expertise in graph database technologies, data modeling, and database design principles. Explore emerging technologies and trends in the graph database space.
Leadership Growth: Develop your leadership skills by mentoring junior team members, driving team projects, and contributing to architectural decisions.
Career Progression: Pursue technical leadership roles, such as senior developer, team lead, or data architect, or explore opportunities in related fields, such as data science or data engineering.

📝 Enhancement Note: While not explicitly stated, the company's focus on innovation and digital transformation suggests ample opportunities for career growth and development. Candidates should be proactive in seeking out learning opportunities and taking on new challenges to drive their career forward.

🌐 Work Environment

Office Type: The company operates a modern, collaborative workspace designed to foster innovation and creativity. The office features open-plan workspaces, meeting rooms, and breakout areas, with a focus on employee well-being and comfort.

Office Location(s): The primary office location is in Vienna, Austria, with additional offices in other European cities. The company offers flexible working arrangements, including remote work options for eligible roles.

Workspace Context:

The graph database development team works in a collaborative, open-plan workspace, with ample opportunities for knowledge-sharing and peer learning.
The team has access to modern development tools, multiple monitors, and testing devices to ensure high-quality code and performance.
The team interacts regularly with other departments, such as product development, marketing, and customer service, to drive data-informed decision-making and improve customer experiences.

Work Schedule: The standard working week is 40 hours, with flexibility for project deadlines and maintenance windows. The company offers flexible working arrangements, including remote work options for eligible roles.

📝 Enhancement Note: While not explicitly stated, the company's focus on employee well-being and comfort suggests a positive work environment that prioritizes the needs of its employees. Candidates should be comfortable working in a collaborative, open-plan workspace and be open to embracing new technologies and approaches.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment (60 minutes): A hands-on coding challenge focused on graph database schema design, query optimization, and data modeling. Candidates will be expected to demonstrate their problem-solving skills and understanding of graph database concepts.
Cultural Fit Interview (30 minutes): A conversation with the team lead or a member of the hiring team to assess cultural fit and alignment with the company's values and mission.
Final Interview (30 minutes): A discussion with the hiring manager or a senior team member to review the candidate's technical skills, cultural fit, and career aspirations.

Portfolio Review Tips:

Highlight your experience with graph database schema design, query optimization, and data modeling.
Include examples of successful data migration and ETL pipeline projects.
Demonstrate your ability to optimize database performance and scalability.
Showcase your problem-solving skills and ability to work collaboratively with other teams.

Technical Challenge Preparation:

Brush up on your graph database schema design, query optimization, and data modeling skills.
Familiarize yourself with the company's tech stack and development methodologies.
Prepare examples of how you have integrated graph databases into larger data ecosystems and worked with other teams to ensure data consistency.

ATS Keywords: [Programming Languages: Java, Python], [Web Frameworks: None], [Server Technologies: Neo4j, ArangoDB], [Databases: Graph Databases], [Tools: ETL Tools, Data Pipeline Development Tools], [Methodologies: Agile, Scrum], [Soft Skills: Problem-Solving, Analytical Skills, Communication Skills], [Industry Terms: Graph Database, Data Modeling, Database Design]

📝 Enhancement Note: While not explicitly stated, the interview process is likely to be competitive, with a strong focus on technical skills and cultural fit. Candidates should be prepared to demonstrate their expertise in graph database development and their ability to work collaboratively with other teams.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: N/A (This role is focused on backend development and database management)

Backend & Server Technologies:

Graph Databases: Neo4j, ArangoDB, or other relevant technologies
Programming Languages: Java, Python, or other relevant languages
ETL Tools: Talend, Pentaho, or other relevant tools
Cloud Platforms: AWS, GCP, Azure, or other relevant platforms

Development & DevOps Tools:

Version Control: Git
CI/CD Pipelines: Jenkins, GitLab CI/CD, or other relevant tools
Containerization: Docker, Kubernetes, or other relevant tools
Monitoring: Prometheus, Grafana, or other relevant tools

📝 Enhancement Note: While not explicitly stated, the company's focus on innovation and digital transformation suggests a modern, cutting-edge technology stack. Candidates should be comfortable working with a range of tools and technologies, and be open to learning new tools as needed.

👥 Team Culture & Values

Web Development Values:

Innovation: Embrace new technologies and approaches to drive digital transformation in the financial sector.
Collaboration: Work closely with other teams, including product development, marketing, and customer service, to ensure effective data management and integration.
Quality: Ensure accurate, reliable, and performant data for decision-making and customer experiences.
Continuous Learning: Stay up-to-date with the latest trends and best practices in graph database development and data management.

Collaboration Style:

Agile: Work in a collaborative, iterative development process, with a focus on continuous integration, testing, and deployment.
Cross-Functional: Collaborate with other teams, including product development, marketing, and customer service, to drive data-informed decision-making and improve customer experiences.
Knowledge-Sharing: Foster a culture of learning and growth, with regular team meetings, workshops, and training opportunities.

📝 Enhancement Note: While not explicitly stated, the company's focus on innovation and digital transformation suggests a dynamic and forward-thinking work environment. Candidates should be comfortable working in an agile, collaborative setting and be open to embracing new technologies and approaches.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Schema Design: Design and develop graph database schema that balances performance, scalability, and maintainability.
Query Optimization: Optimize graph database queries to ensure efficient data retrieval and minimize performance overhead.
Data Migration: Develop and implement ETL pipelines to extract and load data into the graph database, ensuring data integrity and consistency.
Performance Optimization: Optimize database performance and scalability, testing and debugging code to resolve performance issues.

Learning & Development Opportunities:

Technical Skills: Deepen your expertise in graph database technologies, data modeling, and database design principles. Explore emerging technologies and trends in the graph database space.
Leadership Skills: Develop your leadership skills by mentoring junior team members, driving team projects, and contributing to architectural decisions.
Career Progression: Pursue technical leadership roles, such as senior developer, team lead, or data architect, or explore opportunities in related fields, such as data science or data engineering.

📝 Enhancement Note: While not explicitly stated, the company's focus on innovation and digital transformation suggests ample opportunities for career growth and development. Candidates should be proactive in seeking out learning opportunities and taking on new challenges to drive their career forward.

💡 Interview Preparation

Technical Questions:

Graph Database Schema Design: Describe your approach to designing and developing graph database schema. What considerations do you take into account when balancing performance, scalability, and maintainability?
Query Optimization: Walk us through your process for optimizing graph database queries. How do you identify and address performance bottlenecks?
Data Migration: Explain your experience with ETL tools and data pipeline development. How do you ensure data integrity and consistency during the migration process?
Performance Optimization: Describe your approach to optimizing database performance and scalability. How do you test and debug code to resolve performance issues?

Company & Culture Questions:

Innovation: How do you stay up-to-date with the latest trends and best practices in graph database development and data management? What new technologies or approaches have you recently explored?
Collaboration: Describe your experience working collaboratively with other teams, including product development, marketing, and customer service. How do you ensure effective data management and integration across different departments?
Quality: How do you ensure accurate, reliable, and performant data for decision-making and customer experiences? What metrics do you use to measure data quality and performance?

Portfolio Presentation Strategy:

Schema Design: Walk us through your approach to designing and developing graph database schema. Highlight your experience with balancing performance, scalability, and maintainability.
Query Optimization: Demonstrate your ability to optimize graph database queries by walking us through a real-world example. Explain your process for identifying and addressing performance bottlenecks.
Data Migration: Showcase your experience with ETL tools and data pipeline development. Explain how you ensure data integrity and consistency during the migration process.
Performance Optimization: Demonstrate your approach to optimizing database performance and scalability. Walk us through a real-world example of how you tested and debugged code to resolve performance issues.

📝 Enhancement Note: While not explicitly stated, the interview process is likely to be competitive, with a strong focus on technical skills and cultural fit. Candidates should be prepared to demonstrate their expertise in graph database development and their ability to work collaboratively with other teams.

📌 Application Steps

To apply for this graph database developer position:

Customize Your Portfolio: Highlight your experience with graph database schema design, query optimization, and data modeling. Include examples of successful data migration and ETL pipeline projects. Demonstrate your ability to optimize database performance and scalability.
Optimize Your Resume: Emphasize your programming skills, experience with graph database technologies, and problem-solving skills. Highlight your experience working collaboratively with other teams and your ability to drive data-informed decision-making.
Prepare for Technical Interview: Brush up on your graph database schema design, query optimization, and data modeling skills. Familiarize yourself with the company's tech stack and development methodologies. Prepare examples of how you have integrated graph databases into larger data ecosystems and worked with other teams to ensure data consistency.
Research the Company: Understand the company's mission, values, and culture. Prepare questions that demonstrate your interest in the company and its digital transformation initiatives.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Graph Database Developer (all humans)