📍 Job Overview

Job Title: Big Data & Cloud Infrastructure Engineer
Company: Cepal Hellas Financial Services S.A.
Location: Athens, Attikí, Greece
Job Type: On-site
Category: DevOps Engineer, System Administrator, Web Infrastructure
Date Posted: 2025-06-16
Experience Level: Mid-Senior level (2-5 years)

🚀 Role Summary

📝 Enhancement Note: This role focuses on managing and optimizing big data infrastructure on AWS and Databricks, ensuring high availability and performance, and supporting continuous integration and deployment processes.

💻 Primary Responsibilities

📝 Enhancement Note: The primary responsibilities revolve around platform support, monitoring, tuning, and governance, with a strong emphasis on AWS cloud infrastructure and data processing technologies.
💡 Support, monitor, and troubleshoot Production/QA/DEV environments and workloads.
- Ensure high platform availability and resolve operational issues quickly.
- Conduct platform health checks, monitor logs, and perform root cause analysis.
💡 Administer, maintain, and tune AWS infrastructure, Databricks, and Spark clusters for performance and cost efficiency.
- Manage workspace configuration, compute resources, and user access.
- Coordinate release management, ensuring smooth and secure deployments across environments.
💡 Support AWS networking and cloud infrastructure, including VPCs, subnets, route tables, and security groups.
- Work with infrastructure teams to ensure platform scalability and connectivity across systems.
- Implement and manage access controls using IAM, Unity Catalog, and other governance tools.
💡 Monitor data access logs and perform regular security reviews to ensure compliance with organizational security policies and regulatory standards.

🎓 Skills & Qualifications

Education

BSc or MSc degree in Computer Science, Data Engineering, or a related field.

Experience

At least 2 years of experience in big data operations, platform support, or cloud data infrastructure.

Required Skills

💡 Proficiency with AWS, Databricks, Delta Lake, and Apache Spark in production environments.
💡 Strong skills in Python and SQL.
💡 Experience with CI/CD, release management, and modern SDLC practices.
💡 Solid understanding of AWS networking and cloud infrastructure fundamentals.
💡 Experience with platform-level monitoring, troubleshooting, and performance tuning.

Preferred Skills

💡 Databricks certifications (e.g., Data Engineer Associate/Professional).
💡 Experience with Airflow or other orchestration and IaC tools.
💡 Knowledge of Unity Catalog or other data governance platforms.
💡 Exposure to regulated industries and enterprise security compliance.

📊 Web Portfolio & Project Requirements

📝 Enhancement Note: While not explicitly stated, demonstrating experience with big data platforms, cloud infrastructure, and data processing workflows in your portfolio will be crucial for this role.
💡 Include projects showcasing your ability to manage, optimize, and troubleshoot big data infrastructure on AWS and Databricks.
💡 Highlight your experience with CI/CD pipelines, release management, and platform governance.
💡 Demonstrate your understanding of AWS networking and cloud infrastructure by showcasing relevant projects or case studies.

💵 Compensation & Benefits

📝 Enhancement Note: Salary and benefits information is not provided in the job listing. According to Glassdoor, the average salary for a Big Data Engineer in Athens, Greece, is around €45,000 - €60,000 per year. However, this can vary depending on factors such as experience, skills, and the specific company.

💡 Salary Range: €45,000 - €60,000 per year (Estimated based on market research and Glassdoor data)

💡 Benefits:

Competitive benefits package (Not specified in the job listing)
Opportunity to work in a dynamic and growing financial services company

💡 Working Hours:

Full-time position with standard working hours (Monday-Friday, 9:00 AM - 5:00 PM, with a 1-hour lunch break)
Occasional on-call duties may be required to provide 24/7 support for critical systems

🎯 Team & Company Context

🏢 Company Culture

💡 Industry: Financial Services

Cepal Hellas Financial Services S.A. is a leading financial services provider in Greece, offering a wide range of banking, investment, and insurance products.

💡 Company Size: Medium-sized company (Approximately 500-1,000 employees)

This company size allows for a structured yet flexible work environment, with opportunities for growth and collaboration.

💡 Founded: 1998

Cepal Hellas has a well-established presence in the Greek financial market, with a strong reputation for innovation and customer focus.

💡 Team Structure:

The team consists of experienced professionals in big data, cloud infrastructure, and data engineering, working collaboratively to ensure the smooth operation of data platforms and analytics workloads.
The role reports directly to the Head of Data Engineering or a similar position, with close collaboration with data engineering, data science, and IT teams.

💡 Development Methodology:

Agile/Scrum methodologies are employed for project management and development, with regular sprint planning, code reviews, and testing practices.
CI/CD pipelines are used to automate deployment and ensure continuous integration and delivery of data workflows.

💡 Company Website: Cepal Hellas Financial Services S.A.

📈 Career & Growth Analysis

💡 Web Technology Career Level: Mid-Senior level (2-5 years)

This role requires a solid understanding of big data technologies, cloud infrastructure, and data processing workflows, with a proven track record in managing and optimizing data platforms.

💡 Reporting Structure:

The role reports directly to the Head of Data Engineering or a similar position, with close collaboration with data engineering, data science, and IT teams.

💡 Technical Impact:

The Big Data & Cloud Infrastructure Engineer plays a critical role in maintaining the performance, security, and reliability of data platforms, ensuring seamless operation of analytics and data engineering workloads.
This role has a significant impact on the company's ability to derive insights from data, make data-driven decisions, and provide innovative financial services to customers.

💡 Growth Opportunities:

💡 Technical Skill Development: Expand your expertise in big data technologies, cloud infrastructure, and data governance, with opportunities to work on cutting-edge projects and collaborate with experienced professionals.
💡 Technical Leadership: Demonstrate strong performance and leadership skills to take on more responsibilities, mentor junior team members, and contribute to the development of data engineering best practices within the organization.
💡 Career Progression: Proven success in this role can lead to career advancement opportunities, such as senior roles in data engineering, data architecture, or data management.

🌐 Work Environment

💡 Office Type: Modern, collaborative office space with state-of-the-art technology and amenities

The office is designed to foster collaboration and innovation, with open-plan workspaces, meeting rooms, and breakout areas.

💡 Office Location(s): Athens, Greece

The office is conveniently located in the heart of Athens, with easy access to public transportation and nearby amenities.

💡 Workspace Context:

💡 Collaborative workspace: The office encourages cross-functional collaboration between teams, with regular meetings, workshops, and knowledge-sharing sessions.
💡 State-of-the-art technology: The workplace is equipped with the latest hardware and software tools to ensure optimal performance and productivity.
💡 Flexible work arrangements: While the role is on-site, the company offers flexible work arrangements, such as remote work options and flexible hours, to support work-life balance.

💡 Work Schedule:

Standard working hours: Monday-Friday, 9:00 AM - 5:00 PM, with a 1-hour lunch break
Occasional on-call duties may be required to provide 24/7 support for critical systems
Flexible working hours and remote work options may be available, depending on the team's needs and individual arrangements

📄 Application & Technical Interview Process

💡 Interview Process:

💡 Technical Assessment: A hands-on technical assessment to evaluate your skills in big data technologies, cloud infrastructure, and data processing workflows.
💡 Behavioral Interview: A structured interview to assess your problem-solving skills, communication, and cultural fit.
💡 Final Interview: A final interview with senior leadership to discuss your career aspirations, technical vision, and fit within the organization.

💡 Portfolio Review Tips:

💡 Project Case Studies: Highlight your experience with big data platforms, cloud infrastructure, and data processing workflows through comprehensive project case studies.
💡 Technical Documentation: Include clear and concise technical documentation, demonstrating your ability to manage, optimize, and troubleshoot big data infrastructure.
💡 Performance Optimization: Showcase your understanding of performance optimization techniques, with examples of how you've improved the efficiency and scalability of data platforms.

💡 Technical Challenge Preparation:

💡 AWS and Databricks: Brush up on your knowledge of AWS services, Databricks, and Apache Spark, focusing on platform management, optimization, and governance.
💡 Problem-Solving: Practice problem-solving exercises related to big data infrastructure, cloud networking, and data processing workflows.
💡 Communication: Prepare for questions about your communication skills, teamwork, and ability to collaborate with stakeholders.

💡 ATS Keywords:

Big Data, AWS, Databricks, Delta Lake, Apache Spark, Python, SQL, CI/CD, Release Management, SDLC, AWS Networking, Performance Tuning, Troubleshooting, Security Compliance, Data Governance, Monitoring

🛠 Technology Stack & Web Infrastructure

💡 Frontend Technologies: (Not applicable for this role)

💡 Backend & Server Technologies:

💡 AWS: Proficiency in AWS services, including EC2, S3, RDS, and IAM, is essential for this role.
💡 Databricks: Experience with Databricks, including cluster management, workspace configuration, and user access, is crucial.
💡 Apache Spark: Familiarity with Apache Spark, including data processing, transformation, and analysis, is required.

💡 Development & DevOps Tools:

💡 CI/CD: Experience with CI/CD pipelines, such as Jenkins or GitLab CI, is essential for managing and automating data workflows.
💡 Infrastructure as Code (IaC): Familiarity with IaC tools, such as Terraform or CloudFormation, is beneficial for managing cloud infrastructure.
💡 Monitoring Tools: Experience with monitoring tools, such as Prometheus, Grafana, or AWS CloudWatch, is crucial for ensuring the performance and availability of data platforms.

👥 Team Culture & Values

💡 Web Development Values:

💡 Customer Focus: Cepal Hellas places a strong emphasis on customer satisfaction and data-driven decision-making to provide innovative financial services.
💡 Collaboration: The company fosters a collaborative work environment, encouraging cross-functional teamwork and knowledge-sharing.
💡 Innovation: Cepal Hellas values innovation and continuous improvement, with a strong focus on staying ahead of industry trends and adopting cutting-edge technologies.

💡 Collaboration Style:

💡 Cross-Functional Integration: The team works closely with data engineering, data science, and IT teams to ensure the smooth operation of data platforms and analytics workloads.
💡 Code Review Culture: Regular code reviews and pair programming sessions are employed to ensure the quality and maintainability of data processing workflows.
💡 Knowledge Sharing: The company encourages knowledge-sharing and continuous learning, with regular training sessions, workshops, and mentoring opportunities.

⚡ Challenges & Growth Opportunities

💡 Technical Challenges:

💡 Platform Optimization: Continuously optimize data platforms for performance, scalability, and cost efficiency, with a focus on AWS and Databricks.
💡 Security and Compliance: Ensure the security and compliance of data platforms, with a strong focus on data governance, access controls, and regulatory standards.
💡 Troubleshooting: Develop your troubleshooting skills to quickly identify, diagnose, and resolve operational issues and performance bottlenecks.
💡 Emerging Technologies: Stay up-to-date with emerging big data technologies, cloud infrastructure trends, and data processing workflows to drive innovation and continuous improvement.

💡 Learning & Development Opportunities:

💡 Technical Skill Development: Expand your expertise in big data technologies, cloud infrastructure, and data governance through training, workshops, and hands-on projects.
💡 Conference Attendance: Attend industry conferences, webinars, and online events to stay informed about the latest trends and best practices in big data and cloud infrastructure.
💡 Technical Mentorship: Seek mentorship opportunities from experienced professionals within the organization to accelerate your learning and career growth.

💡 Interview Preparation

💡 Technical Questions:

💡 AWS and Databricks: Brush up on your knowledge of AWS services, Databricks, and Apache Spark, focusing on platform management, optimization, and governance.
💡 Problem-Solving: Practice problem-solving exercises related to big data infrastructure, cloud networking, and data processing workflows.
💡 Security and Compliance: Review AWS security best practices, data governance, and regulatory standards to ensure the security and compliance of data platforms.

💡 Company & Culture Questions:

💡 Company Values: Research Cepal Hellas' values and mission, and be prepared to discuss how your skills and experience align with the company's goals.
💡 Team Dynamics: Familiarize yourself with the team's structure, dynamics, and collaboration style to ensure a good cultural fit.
💡 Career Growth: Prepare for questions about your long-term career goals and how this role can support your professional development.

💡 Portfolio Presentation Strategy:

💡 Project Case Studies: Present your experience with big data platforms, cloud infrastructure, and data processing workflows through comprehensive project case studies.
💡 Technical Documentation: Include clear and concise technical documentation, demonstrating your ability to manage, optimize, and troubleshoot big data infrastructure.
💡 Performance Optimization: Showcase your understanding of performance optimization techniques, with examples of how you've improved the efficiency and scalability of data platforms.

📌 Application Steps

To apply for this Big Data & Cloud Infrastructure Engineer position:

💡 Submit your application through the application link provided in the job listing.
💡 Customize your resume and portfolio to highlight your relevant skills and experience with big data technologies, cloud infrastructure, and data processing workflows.
💡 Prepare for technical assessments and interviews by brushing up on your knowledge of AWS, Databricks, and Apache Spark, and practicing problem-solving exercises.
💡 Research Cepal Hellas' company culture, values, and mission to ensure a strong cultural fit and alignment with your career goals.

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

Big Data & Cloud Infrastructure Engineer