DevOps Engineer

Ferryscanner is an online search and booking engine that helps people find affordable ferry tickets to exciting destinations around the world. Since 2018, we have been simplifying the ferry booking process by offering ferry tickets for more than 900 destinations across the globe in 25 languages. Our company culture is based on five core values: Ownership, Trust & Respect, Constant Improvement, Customer Obsession, and Being Bold. The Ferryscanner team is made up of people who love travel, thrive in fast-paced environments, and continuously seek practical and innovative solutions.

At Ferryscanner, data is more than reporting, it is a key enabler of how we build products, make decisions, and leverage AI across the business. As we continue to invest in AI-driven capabilities, we are looking for an experienced Data Engineer to build and scale the data foundations that power analytics, experimentation, automation, and future AI applications.

As a Data Engineer, you will own the systems and pipelines that transform raw data into trusted, accessible assets across the organization. You will play a central role in shaping Ferryscanner's data platform, enabling teams to make better decisions and helping Engineering unlock the full potential of AI.

You will report to our Head of Product Development and work closely with our Data Analyst, Product Owners, Software Engineers, and business stakeholders.

Responsibilities

• Design, build, and maintain scalable data pipelines, workflows, and data models
• Own and evolve Ferryscanner’s data architecture, ensuring reliability, quality, security, and accessibility
• Develop and maintain datasets, warehouses, and reporting foundations that support analytics and decision-making
• Partner with the Data Analyst to improve data availability, self-service analytics, and reporting capabilities
• Build and optimize data infrastructure that supports AI and machine learning initiatives
• Establish best practices around data governance, observability, documentation, lineage, and monitoring

Qualifications, Skills & Knowledge

• At least 4 years proven experience as a Data Engineer, Analytics Engineer, Data Platform Engineer, or similar role, ideally within a product-led, marketplace, travel, or consumer technology business
• Strong SQL and Python skills, with experience building production-grade data pipelines and scalable data models
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data warehouses such as BigQuery, Snowflake, or Redshift
• Hands-on experience with data orchestration and transformation tools such as Airflow, Dagster, dbt, or equivalent
• Strong understanding of data architecture, ETL/ELT processes, data governance, and software engineering best practices
• Experience building reliable monitoring, observability, and quality assurance processes for data systems
• Demonstrated ability to work cross-functionally with Engineering, Product, Analytics, and business stakeholders
• Familiarity with AI and machine learning workflows, including data pipelines that support model training, evaluation, and deployment
• Experience with vector databases, embeddings, retrieval systems, or LLM-powered applications is a strong plus
• Comfortable leveraging AI-assisted development tools and modern engineering workflows
• Strong analytical, problem-solving, and organizational skills, with the ability to balance long-term platform thinking with practical execution

Key competencies

• Ownership mentality, takes end-to-end accountability and drives initiatives forward
• Strategic thinking with executional bias, balances long-term architecture with practical delivery
• Cross-functional collaboration, builds trusted relationships across technical and business teams
• Systems thinking, designs scalable, reliable, and maintainable solutions
• Data-driven mindset, uses measurement and evidence to inform decisions and improve outcomes
• Curiosity and innovation mindset, actively explores emerging data and AI technologies
• Adaptability and growth mindset, thrives in a fast-moving environment and embraces continuous learning
• Bias for simplicity, values clarity, reliability, and ease of use in both systems and processes

We offer

• Opportunity to shape and scale Ferryscanner’s data platform and AI foundations at a pivotal stage of growth
• High-impact role with direct influence on product development, business decision-making, and AI adoption
• Collaborative, cross-functional environment spanning Engineering, Product, Analytics, and Business teams
• International team, continuous learning, and exposure to cutting-edge data and AI technologies
• Hybrid working model and additional annual leave days

Blend Technologies
is a high-growth Technology and Innovation powerhouse. We orchestrate bespoke solutions for the most complex challenges in the global tech landscape.

Our expertise is deepened across six critical pillars designed to modernize and protect mission-critical systems:

• Cloud & Infrastructure: Building resilient, scalable foundations for the hybrid era
• Next-Gen Networks: Powering connectivity with speed and architectural precision
• DevOps & Automation: Accelerating delivery cycles through intelligent workflows
• AI & Data: Transforming raw information into predictive, actionable intelligence
• Cyber Security & Resilience: Moving beyond defense to proactive, stress-tested immunity
• Managed Services & IT Operations: Ensuring seamless performance so you can focus on your core mission

We possess a profound understanding of the technologies shaping the future—not just their capabilities, but their nuances and hazards. Our mastery lies in integration:
the right combination, in the right sequence, at the right time.
We don't just bridge the gap between today and tomorrow; we ensure our clients organization's journey is secure, sustainable, and strategically sound.

We are now looking for an experienced
DevOps Engineer
with strong technical skills and solid working experience to work in new challenging projects.

Responsibilities

• Perform analysis of best practices and emerging concepts in DevOps, Infrastructure Automation
• Design, implement, and maintain CI/CD pipelines to automate application deployments and testing.
• Manage containerized environments for deploying applications using technologies such as Docker.
• Set up monitoring and logging solutions for proactive issue detection and troubleshooting.
• Maintain and optimize monitoring and alerting systems.
• Implement security best practices throughout the DevOps processes.
• Collaborate with development and operations teams to streamline workflows and resolve technical challenges.
• Create and maintain comprehensive documentation for infrastructure and configurations.
• Ensure documentation is up-to-date and accessible to relevant teams

Requirements

• Bachelor's degree in computer science, Information Technology, or related field (or equivalent work experience).
• Minimum 4 years of hands-on experience in DevOps, System Administration or even Development background.
• Experience working on a docker environment with tools (Jenkins, Bitbucket, Gitlab, Nexus)
• Experience in automation tools and scripting languages (e.g. Bash, PowerShell).
• Knowledge of Cloud providers (AWS, Azure, GCP)
• Knowledge of Configuration Management tools (Ansible, Chef, Puppet)
• Knowledge of Infrastructure as Code tools (Terraform or equivalent)
• Knowledge of Docker/Kubernetes
• Strong understanding of networking, security, and compliance.
• Excellent problem-solving and troubleshooting abilities

Benefits

• Competitive Compensation package.
• Career development and growth opportunities.
• An amazing private & open-office workspace in Athens.
• Medical plan and life insurance for you and your family.
• Continuous training & learning opportunities via personalized seminars.
• The opportunity to work in a diverse environment with talented colleagues

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Being part of EY in Greece means being part of a continuously growing team, which has been announced as
Top Employer
for the fourth consecutive year, certified as a
Great Place to Work
for the third year in a row, and awarded as
Best Workplace in Professional Services & Consulting
for the second consecutive time, for our
almost 3,000 professionals
!

At EY, we’ll develop you with
future-focused skills
and equip you with
world-class experiences
through coaching and training programs as well as the use of
advanced technology and AI
. We’ll fuel you and your extraordinary talents in a
diverse and inclusive culture
of globally connected teams

Join us as we commemorate 100 years of EY in Greece this year. Experience great flexibility under our
hybrid operating model
across our offices in Athens, Patras, Thessaloniki and Crete and contribute to
building a better working world
.

The opportunity
Modern technology produces more data than ever before and has also produced new AI algorithms and tools, resulting in new opportunities and substantiated business insights in support of new and deeper insights, more informed actions and decision making. EY delivers leading services and solutions in the area of big data, business intelligence and data engineering built on a blend of tools and custom-developed methods.

As part of our AI & Data team of the Technology Consulting practice, you will work with multi-disciplinary teams to support clients in a wide range of data initiatives aiming to generate and present new, useful and actionable insights. You will have the opportunity to work and take responsibilities in challenging engagements, gaining exposure to clients in various sectors both in Greece and abroad.

Your Key Responsibilities

• Collaborating with data scientists on model integration and deployment.
• Setting up infrastructure and tools for deploying and monitoring models.
• Managing cloud resources and optimizing performance.
• Implementing CI/CD pipelines for automated testing and deployment.
• Building and maintaining data pipelines for pre-processing and transformation.
• Monitoring model performance and system health.
• Ensuring data security and compliance.
• Documenting processes and best practices.
• Staying updated with advancements in MLOps/ AIOps and contributing to EY innovation.

Skills And Attributes For Success
To qualify for the role you must have

• Bachelor's or Master's degree in computer science, data science, engineering, or a related field.
• Experience in the fields of AIOps, MLOps or System Administration.
• Demonstrated experience in deploying ML models into production environments.
• Participation in Kaggle competitions or personal ML projects can also demonstrate practical skills.
• Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP) or Cloudera.
• Understanding how to leverage cloud resources for deploying and scaling ML models.

Ideally, you’ll also have

• Proficiency in modern DevOps practices and automated software testing. Knowledge of containerization technologies like Docker and container orchestration platforms like Kubernetes is valuable.
• Familiarity with AIOps/ MLOps tools and platforms, such as MLflow, Kubeflow, Synapse Analytics or SageMaker, is advantageous. Understanding how to set up and manage machine learning pipelines, model monitoring, and deployment infrastructure is important.
• Knowledge of infrastructure components like servers, storage systems, and networking. Understanding how to provision and configure resources for ML workloads.

What We Look For

• Strong analytical, problem solving and critical thinking skills.
• Desire to investigate and try-out new tools and technologies as they are released.
• Ability to work under tight timelines, in cases for multiple project deliveries.
• Good interpersonal skills and ability to work effectively within high-performing teams.
• Confidence to convey technical advice and guidance to clients.
• Ability to adapt in a fast paced multinational environment.
• Advanced technical writing skills in Greek and English (additional languages will be a plus).
• Self-motivation for continuous development.
• Willingness and ability to travel and work abroad for international projects.

What We Offer You
Ability to Shape your Future with Confidence by:

• Developing your professional growth:

• You'll have unlimited access to educational platforms, EY Badges and EY Degrees, alongside support for certifications. You will experience personalized coaching and feedback, and gain exposure to international projects, through our expansive global network, empowering you to define and achieve your own success.

• Dive into our innovative GenAI ecosystem, designed to enhance your EY journey and support your career growth. These advanced AI tools will empower you to focus on higher-value work and meaningful interactions, enriching your professional experience like never before.

• Empowering your personal fulfilment: We focus on your financial, social, mental and physical wellbeing.

• Our competitive rewards package, depending on your experience, includes cutting-edge technological equipment, ticket restaurant vouchers, a private health and life insurance scheme, income protection and an exclusive EY benefits club card that provides a wide range of discounts, offers and promotions.
• Our flexible working arrangement (hybrid model) is defined based on your own preferences and team’s needs, and we enjoy various getaways such as short Fridays, Flex Day and Together Day.
• Our commitment to a sustainable way of operating, encourages volunteerism, promotes sustainable practices and offers opportunities for you to create a positive societal impact.
• Our pride lies in working at EY as one of the most recognized employers in Greece through our multiple awards received over the last 4 years (Top Employer, Great Place to Work and Best Workplace in Professional Services & Consulting).
• Fueling an inclusive culture: We prioritize a diverse, equitable and inclusive environment, where you’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Are you ready to shape your future with confidence? Apply today.

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.

EY
| Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

#CX08331@

About Change
Change has been around longer than most fintechs you've heard of. Our Dutch entity was incorporated in Amsterdam in 2010, and we have been MiFID II authorised since 2015, a decade of operating as a regulated investment firm. Today we serve around 120,000 verified users across all 30 EEA countries, with full passporting rights, and we are MiCA-authorised as one of the early CASPs in the Netherlands.

We operate an app-based investment platform built for retail investors. Our users trade cryptocurrencies, alongside CFDs on stocks, indices, currencies, gold, oil and other financial instruments — all in one place, on mobile, with the regulatory protections of a Dutch investment firm.

We are a small senior team with a practical, low-bureaucracy culture. We value ownership, clear processes, strong judgement and real operational discipline over unnecessary ceremony.

We are hiring a
Senior Engineer
who treats AI agents and tooling as a core part of the SDLC — building, shipping and operating systems with tools like Codex, Claude Code and automated reviewers as standard engineering practice.

What You Will Do

• Take ownership of one or two core domains end-to-end, execution, custody integration, market data, risk, or the trading core, and ship measurable improvements against real, regulated, money-moving systems.
• Contribute meaningfully to the Kotlin-vs-.NET architectural evaluation: prototype, benchmark, document, push back. Help us produce an honest decision rather than a fashionable one.
• Define and prove out our agentic SDLC: how we use coding agents in design, in review, in testing, in incident response. Make the patterns explicit so the rest of the team can copy them.
• Raise the engineering bar by example; clean, well-tested, observable code that other engineers want to read and extend. Become the person whose PRs others learn from.
• Partner closely with the Dutch business hub, our compliance and marketing functions, and our infrastructure team. Speed and regulatory standing are not in tension here; we expect you to deliver both.

Who We Are Looking For
Engineering depth

• 5+ years building production systems where correctness and uptime matter, ideally in finance, payments, trading or similarly demanding environments.
• Strong expertise in either the modern JVM ecosystem (Kotlin, Spring Boot, Kafka) or modern .NET (.NET, C#, ASP.NET Core), with openness to work across both.
• Comfortable with AWS, EKS, observability and infrastructure concepts; able to work confidently around cloud-native systems.
• Strong understanding of event-driven systems, idempotency, reconciliation and the realities of distributed systems in production.
• Systems thinker who can clearly communicate architecture, boundaries, data flows and constraints — for both engineers and coding agents.

AI-native, agentic-first

• You use coding agents (Codex, Cursor, Claude Code, Aider or similar) daily and understand both their strengths and failure modes.
• You have built or customised at least one real agentic workflow, tool or automation used in practice.
• You have clear judgement on where humans should stay in the loop in regulated environments. You are not impressed by demos.
• You are impressed by evals.
• You know how to provide the context, structure and guardrails agents need to operate effectively across complex tasks.

Mindset

• You communicate in writing well enough that meetings shrink. You write design docs that other engineers actually read.
• You give and take direct feedback without making it personal. You are visibly comfortable saying "I don't know" and "I was wrong".
• You want to grow your scope and impact here, not because of the title, but because you want the leverage. We will invest in that growth.

Nice to have

• Experience in a MiFID II, MiCA, PSD2 or similarly regulated environment.
• Familiarity with order management, market connectivity (FIX, REST/WebSocket exchange APIs), or crypto custody (BitGo, Fireblocks).
• Open-source contributions, particularly in the agent/MCP ecosystem.
• Greek or Dutch language is welcome but not required, we work in English.

What We Offer

• Hybrid role (Athens)
• Travel to Amsterdam and Estonia a few times a year
• Competitive base salary
• Perks and benefits
• Learning budget to keep you sharp
• Real ownership and influence
• Fast decisions, zero politics
• A real shot at growing with the company long term

Process
Fast-moving and straightforward

• Intro call
• Hiring manager interview
• Take-home assignment
• Conversation with senior management

This role is demanding but also rewarding. If you want to build, take ownership, and grow with a startup, we’d love to talk. Apply now.