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.
Join EY and help to build a better working world.
The opportunity
Our EY Consulting ambition is to become the world’s leading transformation consultants, trusted to help our clients generate long-term value. We’re building world-class capabilities in business, technology and people consulting to help us deliver on EY’s purpose of building a better working world — our firm’s broader ambition to become the world’s most trusted, distinctive professional services organization.
Our clients are at the heart of our new strategy. We’re focused on solving the key issues of our client buyers, building deeper relationships, and making a greater impact. We’re introducing a new go-to-market narrative — Transformation Realized™ — to help us harness the core drivers of transformation that will create long-term value for our clients.
To achieve this, we are seeking for a Senior Data Engineer to join our Transformation Realized™ Consulting practice to support our clients in defining and rolling out the right data architecture, data platforms and infrastructure that support their needs, implement, and maintain automated data pipelines, and infuse data through business intelligence and analytics. Our team is part of EY’s Central, Eastern and Southeastern Europe & Central Asia (CESA) cluster, delivering market leading services to organizations across industries in Cyprus and internationally.
The transformation imperative is urgent, challenging and opportunity-rich, interested to join us?
Key Responsibilities
1. Own the design, development, and maintenance of scalable data pipelines and architectures
2. Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions
3. Implement and monitor data quality, data validation, and data governance processes
4. Mentor junior engineers and participate in code reviews to ensure high standards
5. Architect, document, and optimise end-to-end data flows in alignment with best practises
6. Support in designing and rolling out the data architecture and infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Skills and Attributes for Success
7. Bachelor’s and/or master's degree in computer science, engineering, mathematics, or another relevant subject
8. 3+ years of experience, able to lead projects and mentor others
9. Experience with data modelling, design patterns, and building highly scalable and secure data solutions and infrastructure.
10. Knowledge of data warehouses, data marts and general data model techniques (Fact and Dimensional tables, Slowly Changing Dimensions)
11. Familiar with big data and cloud analytics platforms (, Databricks, Snowflake, Google BigQuery, Apache Spark, Hadoop)
12. Experience with ETL tools ( Matillion, SSIS, dbt)
13. Strong proficiency in SQL and relational databases such as MS SQL, DB2, Oracle, MySQL
14. Ability to work with a wide variety of data types ( structured and unstructured), extracting and integrating data from modern and legacy data platforms
15. You have effective communication and presentation skills
It will be a plus if you have
16. Experience CI/CD for data pipelines
17. Experience in cloud platforms (Microsoft Azure, AWS, Google Cloud Platform)
18. Experience with orchestration tools (, Airflow, Azure Data Factory)
19. Experience with enterprise data governance tools such as Microsoft Purview, Collibra, Informatica, or similar
20. Strong business understanding of the financial sector (Banking, Insurance)
21. You have experience with lean/agile software development
What we offer
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
In addition to a competitive salary, our benefits include but are not limited to:
22. 13th salary
23. Provident Fund
24. Private Medical and Life Insurance
25. Flexible working arrangements (hybrid work and flexible work schedule)
26. Friday afternoon off
27. EY Tech MBA and EY MSc in Business Analytics
28. EY Badges - digital learning certificates
29. Mobility programs (if interested to work abroad)
30. Paid Sick Leave
31. Paid Paternity Leave
32. Yearly wellbeing days off
33. Maternity, Wedding and New Baby Gifts
34. EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)
Are you ready to shape your future with confidence? Apply today.
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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.