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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 a Data Engineer to join our Transformation Realized™ Consulting practice to support our clients in designing and implementing modern data platforms, building scalable data pipelines, and enabling advanced analytics and business intelligence solutions. Our team is part of EY’s Europe Central (EC) cluster, delivering market leading services to organizations across industries in Cyprus and internationally.   

 

Key Responsibilities

 

• Design, develop, and maintain scalable and reliable data pipelines and data architectures
• Build and optimize Databricks-based solutions using Apache Spark and Delta Lake
• Collaborate with data scientists, analysts, and business stakeholders to deliver high-impact data solutions
• Implement and monitor data quality, validation, and governance processes
• Contribute to data platform design and best practices across projects
• Develop and optimize ETL/ELT processes for ingesting and transforming data from a variety of sources
• Participate in code reviews and ensure adherence to engineering standards
• Document and improve end-to-end data flows and data lifecycle management 

 

Skills and Attributes for Success

 

• Bachelor’s and/or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
• 3–5 years of experience in data engineering or a related field
• Hands-on experience with Databricks and Apache Spark (core requirement)
• Strong experience with SQL and relational databases (e.g., SQL Server, Oracle, PostgreSQL)
• Good understanding of data modelling techniques (e.g., star schema, fact/dimension models, SCDs)
• Experience working with modern data platforms (e.g., Databricks, Snowflake, BigQuery)
• Experience building and optimizing ETL/ELT pipelines
• Familiarity with cloud environments (Azure, AWS, or GCP)
• Ability to work with structured and unstructured data across different data sources
• Strong analytical thinking and problem-solving skills
• Effective communication skills and ability to work in cross-functional teams

 

It will be a plus if you have  

 

• Experience with Azure Databricks ecosystem (ADF, ADLS, Synapse integration)
• Strong programming skills in Python and/or Scala
• Experience with orchestration tools (e.g., Airflow, Azure Data Factory)
• Exposure to CI/CD for data pipelines and DevOps practices
• Experience with data governance tools (e.g., Microsoft Purview, Collibra, Informatica)
• Experience in agile/lean development environments
• Industry experience in Financial Services (Banking, Insurance) 

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: 

• 13th salary 
• Provident Fund 
• Private Medical and Life Insurance 
• Flexible working arrangements (hybrid work and flexible work schedule) 
• Friday afternoon off 
• EY Tech MBA and EY MSc in Business Analytics 
• EY Badges - digital learning certificates 
• Mobility programs (if interested to work abroad) 
• Paid Sick Leave 
• Paid Paternity Leave 
• Yearly wellbeing days off 
• Maternity, Wedding and New Baby Gifts 

• EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services) Are you ready to shape your future with confidence? 

   

  Apply today at the following link: Data Engineer Job Details | EY

To help create the best experience during the recruitment process, please describe 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.

Πώς να υποβάλετε αίτηση

https://careers.ey.com/ey/job/Nicosia-Data-Engineer-1087/1395035433/

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Ernst and Young Cyprus Ltd

EY is a global leader in assurance, tax, transactions and advisory services with about 270,000 people in over 150 countries. It is the most globally integrated professional services organisation, working with businesses, entrepreneurs and governments around the world to solve their most pressing challenges. EY distils everything it does down to a single, unified purpose: building a better working world. For over 80 years, the Cyprus practice has been a trusted business advisor and auditor to a broad range of clients and is ideally placed to cater to the needs of our clients in a wider geographic span.