Data Engineer at EY

Thessaloniki, Macedonia and Thrace, Greece -

Full Time

Start Date

Immediate

Expiry Date

09 Jun, 26

Salary

0.0

Posted On

11 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Cloud-Native Services, ELT/ETL, Data Modeling, Data Quality, Orchestration Frameworks, Technical Documentation, Testing, Quality Assurance, Data Lakes, AI, Visualization Tools

Industry

Professional Services

Description

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: your next adventure awaits The explosion of data in today’s digital era has transformed how organizations operate—but also created new challenges in how they store, engineer, and extract value from it. At EY, we help clients turn complex data ecosystems into scalable, cloud-native platforms that drive business innovation, operational efficiency, and competitive advantage. As part of the AI & Data team within our Technology Consulting practice, you will collaborate with cross-disciplinary teams to deliver impactful data solutions—ranging from modern data lakes and real-time pipelines to actionable insights and AIpowered analytics. 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 Develop data pipelines under the guidance of more senior engineers, using programming languages such as Python, SQL, and cloud-native services and tools Deliver pipelines for the ingestion, transformation, and validation of structured and semi-structured data from various sources Learn and apply data engineering concepts, including ELT/ETL, data modeling, data quality and orchestration frameworks on cloud and/or on premise Collaborate with team members on technical documentation, testing, and quality assurance activities Participate in internal training and client engagements to build hands-on experience across modern data platforms Contribute to a culture of continuous improvement by asking questions, exploring new tools, and sharing insights To qualify for the role you must have: A BSc or MSc degree in Computer Science, Mathematics, Engineering or other related, quantitative fields. Knowledge in SQL querying and development Knowledge of Data Management concepts & methodologies will be considered a plus (Data Warehouse, Data Lake, Lakehouse, Delta etc.) Knowledge in Visualization tools (i.e. Power BI, Tableau, etc.) will be considered a plus What we look for You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world. You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world. You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust. Qualifications: What’s most important is that you’re dedicated to working with your colleagues as part of a high-performing team. You’ll need to demonstrate enthusiasm, high motivation and passion to develop fast in a multinational working environment. You’ll need to thrive in picking up new skills and talents as you go, so natural curiosity, a lot of questions and the confidence to speak up when you see something that could be improved are essential. If you’ve got the right combination of technical knowledge and communication skills, this role is for you. 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.

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Responsibilities

The role involves developing data pipelines using Python, SQL, and cloud services for ingesting, transforming, and validating structured and semi-structured data. Responsibilities also include learning and applying core data engineering concepts like ELT/ETL, data modeling, and quality frameworks.