LastWeek

LastThreeDays

Today

Aoristou

Orismenou

Internship

Seasonal

FullTime

Hybrid

OnSite

Remote

The Senior Embedded Engineer will be responsible for the design, development, testing, certification and manufacturing process of addressable panels on emergency lighting, addressable fire alarm and central battery systems. You will work in a dynamic environment and be part of a workplace where your day to day will involve working as a team on world-class products.Your key responsibilities include<ul><li>Designing firmware solutions based on project requirements</li><li>Coding using C language</li><li>Contributing to schematic design and managing PCB layout</li><li>Contributing to firmware architecture and development, engineering tests and product validation</li><li>Drafting the technical documentation related to the firmware and hardware code (Doxygen, Confluence)</li></ul>What you bring to the team:<ul><li>Master's or Bachelor’s degree in Electrical or Electronics Engineering, Applied Computer Science or related technical field</li><li>Proven industry experience in the end-to-end development life cycle, from the initial concept to production (including architecture, design, development, debugging, documentation, and validation)</li><li>Minimum 5 years of C coding experience in embedded firmware</li><li>Minimum 5 years of experience in the field of electronics</li><li>Deep understanding of embedded architecture concepts (CPU core, internal and external memories, CPU peripherals)</li><li>Experience programming MCUs and RTOS such as FreeRTOS</li><li>Experience with Cortex-M Processors (M0, M0+, M3, M4, M7)</li><li>Experience identifying hardware requirements based on firmware requirements</li><li>Experience in version control (Git) and issues tracking (Jira)</li><li>Experience in designing schematics on analog, digital and power electronics domain</li><li>Experience in serial protocols (UART, SPI, I2C)</li><li>Ability to navigate, understand &amp; adapt large existing codebases</li><li>Ability in risk assessment and problem solving during the product’s life cycle development&nbsp;</li><li>Ability to use block diagrams, conceptual sketches, pseudo-code and other techniques of project designing</li><li>Excellent team working skills is a must, both internally within the R&amp;D department as well as across departments</li><li>Fluency in English both written and spoken</li></ul>Nice to have:<ul><li>Good knowledge of PCB design guidelines for achieving EMC with minimal EMI</li><li>Familiarity of object-oriented programming concepts, preferably in C++</li><li>Familiarity of Web concepts (Ethernet, WiFi, Cloud Services, Cyber Security)</li></ul>What we offer:<ul><li>The opportunity to work on high-end projects, for products distributed worldwide to major clients</li><li>A chance to join a globally established company with skills development opportunities and an excellent working environment</li><li>Flexible working hours</li></ul>Send your resume,&nbsp;mentioning the position you are applying for, to&nbsp;cv@olympia-electronics.grThank you for your interest in Olympia Electronics, and good luck!&nbsp;

Senior Embedded Engineer, R&D, Thessaloniki

NTT Data Greece&nbsp;is looking for a Virtualization Specialist - to join our International Organisations team.Your role:<ul><li>Design, configure, and deploy on-premises virtualized environments based on VMware vSphere and Horizon.</li><li>Implement, monitor, and optimize DRS, HA, and vMotion configurations.</li><li>Design, configure, and deploy Windows Server virtual machines, ensuring their availability, performance, and security.</li><li>Collaborate with international technical teams on the planning and execution of infrastructure initiatives.</li><li>Document procedures, best practices, and technical configurations.</li><li>Contribute to continuous improvement and infrastructure automation initiatives.</li></ul>We value a&nbsp;collaborative&nbsp;and&nbsp;supportive&nbsp;environment, celebrating&nbsp;curiosity&nbsp;and&nbsp;engagementWe are committed to supporting the physical, financial and emotional well-being our of employeesCareer development.&nbsp;Training path and access to learning opportunities, yearly performance reviews and a mentorship programWe believe in&nbsp;work-life balance&nbsp;and&nbsp;flexibility.&nbsp;Wear casual clothing, decide your working hours and enjoy our&nbsp;hybrid&nbsp;working modelWear casual clothing, decide your working hours and enjoy our hybrid working modelTalent Friends.&nbsp;Refer a friend and receive a&nbsp;bonus&nbsp;when they joinWe care about youHealth &amp; well-being.&nbsp;Focus on your mental health with access to a platform with certified psychologists &amp; mental health workshops. Take a break with one of our online fitness and well-being sessionsDiversity &amp; inclusion.&nbsp;We are committed to equal employment opportunities regardless of gender, gender expression and identity, sexual orientation, religion, culture, origin, disability, age, or other personal and social characteristics.&nbsp;#WeAreAllUnique&nbsp;#YouMakeUsUniquePlease let us know if you require us to accommodate any accessibility needs during the recruitment process.Benefits at NTT DATA GreeceHealth insurance for the employee and one dependent family member (100% paid by NTT DATA)Meal vouchers of 120€ per month (x12)Corporate mobile phone: subscription &amp; deviceTeleworking equipment allowanceUdemy AccountAccess to Open Up mental health service&nbsp;28 days of paid annual leave consisting of your legal holidays and compensation daysYour profile:<ul><li>Experience 3-5 years in Systems Administration, deploying and managing enterprise-level high availability virtualized environments.</li><li>Advanced knowledge of VMware vSphere, Horizon, Windows Server, as well as DRS, HA, and vMotion.</li><li>Strong expertise in Windows Server administration.</li><li>Previous experience working with on-site infrastructure.</li><li>Fluency in English (written and spoken) is required; proficiency in any other European language is a plus.</li><li>You must be eligible for EU Security Clearance (at least 5 years of EU nationality in required).</li><li>Availability to travel occasionally to Strasbourg (on client premises)</li></ul>Nice to have:<ul><li>Technical certifications in VMware (VCP, VCAP) or Microsoft.</li><li>Experience in large-scale infrastructure transformation or modernization projects.</li><li>Additional knowledge in networking, storage, or automation (PowerShell, Ansible, etc.).</li></ul>

Virtualization Specialist

The Director, AI Quality Engineering Lead ensures that AI systems across the enterprise are safe, fair, reliable, compliant, and observable from pre‑release through continuous operations. This role designs and operates enterprise evaluation frameworks (quality, bias/fairness, robustness, privacy), leads red‑teaming and guardrail development, encodes policy and regulatory requirements as automated checks, and drives metric reporting and post‑incident learning across AI programs. The lead partners closely with Enterprise Architecture, Compliance, Legal/Privacy, Security, Data Governance, and product/engineering teams to enforce quality and safety gates and enable responsible scale. (Aligned to Corporate Policy and Responsible AI principles.) Reporting into the Head of Applied AI Engineering, you will manage a team of QA Engineers and AI Engineers. This role blends deep technical leadership, product engineering strategy, and direct enablement of enterprise use cases and services. You will partner closely with business, legal and technical stakeholders to design and deliver robust, scalable solutions that demonstrate the value of AI across our enterprise in a safe and compliant way. This role is execution-oriented with strong influence on building AI solutions responsibly.Evaluation and Test Strategy<ul><li>Define and run evaluation frameworks for LLMs and multi-modal systems covering performance, fairness, bias, robustness, safety, and privacy.</li><li>Build automatic + human-in-the-loop evaluation pipelines with reproducible scoring, statistical significance, and error analysis.</li><li>Establish SLOs/SLIs for quality (e.g., grounded accuracy, hallucination rate, privacy leak rate, harmful-content rate).</li></ul>Red-Teaming &amp; Safety Guardrails<ul><li>Design and run red-teaming against prompt injection, jailbreaks, sensitive data leakage, tool-abuse, and retrieval abuse.</li><li>Develop guardrail solutions (classification, content safety, PII/PHI detection, grounding checks, allow/deny lists, rate limiting, output filtering) to mitigate hallucinations, leakage, and compliance violations.</li><li>Maintain attack libraries and scenario banks; simulate adversarial behavior and monitor adaptive attacks over time.</li></ul>Pre‑Release Gating &amp; Continuous Assurance<ul><li>Operate pre‑release evaluation gates with baselines, regression checks, canary/A–B testing, and rollback criteria.</li><li>Run continuous evaluation in production with synthetic &amp; real traffic (shadow/ghost testing) and drift, bias, and toxicity monitoring.</li></ul>Stakeholder Leadership &amp; Culture<ul><li>Coach product teams on responsible AI practices and establish quality ownership norms.</li><li>Build a community of practice across Engineering, Security, Data Governance, and Risk—standardizing test data, benchmarks, and review rituals.</li><li>Mentor engineers building evaluation, red-team, and guardrail capabilities.</li></ul>BASIC QUALIFICATIONS<ul><li>7+ years in ML/AI/Platform/Quality roles, including 3+ years evaluating production systems.</li><li>Advanced degree in Computer Science, Engineering or related discipline.</li><li>Proven design &amp; operation of evaluation harnesses and policy-as-code checks in CI/CD.</li><li>Hands-on Python and expertise with evaluation and safety tooling such as: OpenAI Evals, Ragas/LangSmith, DeepEval, Azure AI Content Safety / OpenAI Moderation, Presidio, Guardrails.ai, Nemo, MLFlow, Grafana, Kibana, Azure monitor</li><li>Cloud &amp; MLOps: Azure/AWS, CI/CD (GitHub Actions/Azure DevOps, feature stores, vector DBs (Azure AI Search, OpenSearch, Pinecone), testing in pipelines.</li><li>Excellent communication with executives and engineers</li><li>Experience leading an engineering team.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Led an AI safety/quality function or enterprise red-team program.</li><li>Prior work with AI based applications, tool use/orchestration, and enterprise data governance.</li><li>Regulatory literacy (e.g., GDPR, EU AI Act readiness), and experience collaborating with Compliance/Risk, Security, and Legal.</li><li>Strong grasp of red-team techniques (prompt/indirect injection, jailbreaks, training data extraction, membership inference, model poisoning, tool abuse).</li><li>Experience with retrieval grounding checks, memory governance, and multi-tenant safety controls.</li></ul>

Director, AI Quality Engineering Lead 4946565

We are looking for a pioneering and hands-on Senior&nbsp;Data &amp; Insights Engineer, as we accelerate our group-wide digital transformation, to join our team.The Scope of the PositionThis position constitutes a unique opportunity to build our data analytics capabilities from inception.The Senior Data &amp; Insights Engineer will serve as the architect and artisan of our data ecosystem, responsible for the design, development, and maintenance of data pipelines, data warehousing solutions, and business intelligence systems. This role encompasses the delivery of dashboards, AI-driven insights, and recommendation engines to support informed decision-making.We expect this role to be AI-augmented:&nbsp;the ideal candidate will leverage modern AI tools to accelerate development, enhance analysis, and maximize impact. We're looking for a dedicated builder, committed to fostering a data-driven culture and enabling the business to leverage actionable insights effectively.Duties and Responsibilities-&nbsp;Architect &amp; Build: Design, deploy, and manage the Group's end-to-end data infrastructure, including ETL/ELT processes, data lake, and data warehouse solutions (on platforms such as Azure or SAP).-&nbsp;Data Pipeline Development: Develop robust, scalable, and reliable data pipelines to ingest, process, and integrate data from diverse sources, with a primary focus on SAP, Primavera, and other business systems.-&nbsp;Insight Generation: Support the Principal Reporting Analyst in delivering data-driven solutions to business leaders across all subsidiaries, by architecting KPIs, dashboards, and analytical models aligned with business objectives.-&nbsp;BI &amp; Reporting: Own the development and maintenance of our Business Intelligence platform. Build intuitive and impactful reports and dashboards that provide clear, actionable insights for the leadership team.- Advanced Analytics: Proactively analyze data to identify trends, spot anomalies, and uncover opportunities for operational efficiency, cost savings, and performance improvement. Explore and implement AI/ML models for predictive insights and recommendations.-&nbsp;Data Governance &amp; Quality: Establish and enforce data quality standards and governance practices to ensure all data is accurate, consistent, and trustworthy.-&nbsp;Collaboration &amp; Expertise: Act as a key resource for data-related questions. Collaborate with our SAP consultants to ensure seamless data extraction and work with the wider IT team to ensure solutions are secure, scalable, and aligned with our enterprise architecture.Job Qualifications and Requirements:-&nbsp; A Bachelor's and/or Master's degree in Computer Science or Engineering.- Minimum 5 years of progressive experience in a data engineering and BI development role, with a proven track record of building data solutions in enterprise environments.- Expert-level proficiency in SQL and Python for data manipulation, pipeline development, and automation. Strong experience with ETL/ELT concepts and tools.- Hands-on experience with cloud data platforms (preferably Azure), including data lakes, data warehouses, and analytics services. Solid understanding of SAP data structures and integration capabilities (SAP BW, HANA, or similar).- Proficiency with modern BI and data visualization tools (e.g., SAP Analytics Cloud, Power BI, Tableau).- Familiarity with data modeling, data warehousing, and data lake concepts.- Exposure to&nbsp;anomaly detection, forecasting or recommendation systems &amp; projects is a plus.&nbsp;The Company offers:<ul><li>A competitive compensation package</li><li>Private medical insurance</li><li>The opportunity to build and own the data strategy for one of the largest and most impactful groups in Greece, with direct executive-level visibility.</li><li>A central role in a dynamic leadership team committed to growth and innovation, providing ample opportunities for professional growth and continuous learning.</li><li>Opportunities for continuous learning and professional growth</li><li>A positive and collaborative working environment</li><li>Committed to providing a healthy and safe workplace for all team members</li></ul>We are working together, committed to creating a diverse and inclusive environment for all!Social Impact footprint:<ul><li>We contribute to Greece's green transition!</li><li>We support Greek suppliers!</li><li>We achieve near-total recycling. We recycled equivalent to 96.7% of Construction, Demolition, and Excavation Waste.</li><li>We operate responsibly!</li></ul>We value your privacy. All personal data provided in your application and CV will be kept completely confidential. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Join our community and let’s build your future together!

Senior Data & Insights Engineer

UNIC Athens, the University of Nicosia's academic and research base in Greece, combining internationally ranked teaching with state-of-the-art facilities, is seeking a Senior Campus Sensor &amp; Systems Operations Engineer&nbsp;to join its team.This role owns the on-campus hardware layer that feeds our data and AI platforms: antennas, receivers, environmental stations, cameras, radars, timing systems, and the on-prem servers that tie them together. You’re the person who makes sure “the machines are alive” and the data keeps flowing.The work is hands-on, rooftop and rack-level, plus enough Linux and networking to keep a small sensor observatory running smoothly.&nbsp;Responsibilities:&nbsp;Keep a campus-scale sensor observatory onlineMonitor health of diverse sensors: RF receivers, satellite downlinks, short-range radars, optical/IR cameras, acoustic arrays, seismic/structural, weather, and air-quality stations.Diagnose issues across power, RF signal, network, and compute layers; coordinate timely fixes.Maintain inventories, diagrams, and simple runbooks for each subsystem.Operate on-prem compute and storage nodesMaintain a small fleet of Linux servers dedicated to signal processing, media ingest, and sensor fusion.Handle OS updates, basic security hardening, disk/CPU monitoring, and log rotation.Work with central platform engineers to ensure data lands in the right queues/buckets/streams.Manage power, networking, and timing for sensorsOversee PoE switches, rooftop cabinets, UPS feeds, and basic environmental monitoring.Ensure reliable fibre/copper connectivity between rooftop cabinets, comms rooms, and core network.Operate and monitor GNSS-based timing / reference equipment used for precise time-stamping.Support installation, maintenance, and calibrationPlan and execute sensor deployments and relocations (roof, mast, dish frame, façades) with facilities.Coordinate periodic calibrations (e.g. weather, air quality, structural/ground sensors) with vendors and internal teams.Enforce safe working practices for rooftop and equipment-room work.Act as the bridge between campus and platform teamsReport status of on-campus systems and upcoming maintenance windows.Help test new data feeds, firmware updates, and configuration changes before they go to production.Provide clear feedback on physical constraints and operational realities back to architects and data/AI teams.Additionally:Daily / weekly operational checks on key systems, with clear escalation when something drifts or fails.Set up and maintain monitoring dashboards and alerts (metrics, logs, basic traces) for sensors and compute.Script routine tasks in Bash/Python (health checks, log scrapes, simple data sanity checks).Coordinate with vendors and contractors for specialized repairs and installs.Maintain accurate documentation (rack layouts, IP plans, cabling runs, rooftop layouts, change logs).&nbsp;Qualifications:&nbsp;Education:<ul><li>A BSc in Computer Engineering, or Electrical Engineering or related field.</li></ul>&nbsp;Experience:4+ years in a systems / field / instrumentation / NOC / SRE-style role, working with real hardware (not just cloud).&nbsp;Required Skills:&nbsp;Solid Linux experience (Ubuntu or similar): networking, system services, storage, logging.Strong practical networking skills: VLANs, PoE switches, fibre vs copper, basic routing, VPNs.Hands-on experience with at least some of:Environmental or industrial sensors (weather, air quality, structural, seismic, etc.), orRF / broadcast / telecom equipment, orCCTV / video analytics / radar / acoustic sensing.Comfortable reading wiring diagrams, labelling cables, and keeping tidy racks/cabinets.Able to work safely on rooftops and with facilities teams; familiarity with basic electrical and lightning/surge safety.Clear written documentation skills and enough English to collaborate with remote engineering teams.&nbsp;Additional Skills:&nbsp;Experience running or supporting a small observatory, lab, broadcast site, or similar multi-sensor facility.Exposure to GNSS timing, NTP/PTP, or other time-synchronization systems.Familiarity with Prometheus/Grafana or similar monitoring stacks.Basic RF concepts (antennas, coax, gain/noise, filters) or environmental monitoring concepts (calibration, QA/QC).Greek language skills and prior work on a university or research campus.&nbsp;What success looks like:Within a few weeks, you know every major sensor, cabinet, and server by name and location.Within a few months, outages are rare, short, and well-understood, with clear runbooks and monitoring in place.The data and AI teams treat the campus observatory as a reliable “black box” they can build on, because you keep it that way.

Θέσεις Εργασίας Διευθυντής Πωλήσεων Ελλάδα, Πληροφορική - Σελίδα 8

senior embedded engineer, r&d, thessaloniki

Olympia Electronics International

virtualization specialist

NΤT Data

director, ai quality engineering lead 4946565

Pfizer Hellas

senior data & insights engineer

Aktor Group

senior campus sensor & systems operations engineer - unic athens

University of Nicosia

Jobily.gr

Για Εργοδότες

Για Υποψηφίους

Εταιρεία