Head of DNA Data Engineering

Cepal Hellas Financial Services S.A.

. Lead the Data Engineering department in providing a reliable Big Data and Cloud platform within DNA and across the group .

Posted 11/11/2026full-timeNea Smyrni • GreeceLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading Data Engineering initiatives, overseeing platform security, and managing software engineering teams. Proficient in cloud technologies, big data platforms, and coding in multiple programming languages.

Highest-signal resume keywords

Data Engineering LeadershipBig Data Platform ManagementCloud Technologies ExpertiseSoftware Engineering Team ManagementCoding Skills in C, Java, Python, and JavaScript

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Big Data PlatformsCloud TechnologiesETL ConfigurationsAPIsData TransformationsUnix/Linux AdministrationShell ScriptingNetworking KnowledgeSDLC ProceduresCICP Platforms

Soft Skills

Interpersonal SkillsCommunication SkillsProblem-Solving SkillsAttention to DetailResults Orientation

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Computer Engineering or Data Science

Industry Keywords

Data GovernancePlatform SecurityVendor ManagementPerformance TestingCapacity Testing

Tech Stack

Tools & technologies

CloudDNSETLFirewallsJavaJavaScriptLinuxPythonSDLCShell ScriptingTCP/IPUnix

About the role

Key responsibilities & impact

Lead the Data Engineering department in providing a reliable Big Data and Cloud platform within DNA and across the group
Drive strategic platform and software implementations enabling Data Science and Reporting Hub initiatives and BAU requirements
Oversee platform security and manage audits and regulatory topics within the ecosystem
Interact with vendor senior leadership to monitor initiatives and projects
Review engineering resources before onboarding and approve vendor team workloads
Own data ecosystem transformation initiatives and deliver agreed outcomes
Direct Data Software Engineering in designing, writing, and maintaining code and software for big data platforms
Oversee data transformations, middle tiers, APIs, UIs, and ETL configurations
Collaborate with Data Governance to provide Data Engineering solutions
Own and approve technical specifications and system validations, including performance, capacity, and security tests
Conduct code reviews, platform design, and mentorship for Data Software Engineering, Data Science, and other non-Data and Analytics teams
Optimize data engineering queries to achieve cloud consumption cost efficiencies

Requirements

What you’ll need

Bachelor’s degree in computer science, information systems, or equivalent field
Master’s degree in computer engineering or data science
Minimum 8 years of work experience in a relevant field, including platforms, cloud, databases, big data platforms, BI platforms, and tools
Knowledge of managing software engineering and/or platforms teams
Administration of Unix/Linux and Windows
Shell scripting for administrative purposes
Knowledge of networking, including TCP/IP, firewalls, DNS, NAT, and routing
Knowledge of cloud and on-premises technologies
Knowledge of SDLC procedures and CICP platforms on-premises and in the cloud
Excellent coding skills in C, Java, Python, and JavaScript
Excellent interpersonal and communication skills at all levels
Problem-solving skills in a dynamic work environment
Flexibility to prioritize daily tasks and allocate emerging requirements
High attention to detail and accuracy
Results orientation
Strong numerical and analytical skills
Time management, multitasking, and work prioritization skills
Organizing skills and a proactive attitude

Benefits

Comp & perks

Attractive salary
Annual performance-based bonuses
Monthly meal allowance through a ticket restaurant card
Private medical insurance for you and your family
Monthly financial allowance for early education (nursery)
Coverage of expenses for children with neurodiversity or disabilities, including therapeutic swimming, music therapy, horse riding, and parental support
Hybrid work model with remote work flexibility
Contemporary offices with fully equipped workstations and quiet areas
On-site restaurant
Group fitness sessions
Access to e-learning platforms
Structured professional development programs
Career development path with feedback, mentoring, and personalized learning plans
Wellbeing, ESG, and volunteering initiatives