Data Engineer

Nicosia, CY, 1060

Applications have closed

EY

EY provides consulting, assurance, tax and transaction services that help solve our client’s toughest challenges and build a better working world for all.

View company page

At EY Consulting Service Line, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. 

 

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 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 

 

  • Develop design document, test and deploy ETL/ELT processes 

  • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions. Monitor data processing efficiency and propose solutions for improvements. 

  • Identify and investigate potential data quality issues and explore ways to improve data quality and reliability 

  • 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 

 

  • Bachelor’s and/or master's degree in computer science, engineering, mathematics, or another relevant subject 

  • 2+ years of experience in data engineering / building data pipelines through ETL/ELT processes 

  • Experience with data modelling, design patterns and building highly scalable and secured data solutions and infrastructures. 

  • Knowledge of data warehouses, data marts and general data model techniques (Fact and dimensional tables, Slowly Changing Dimensions) 

  • Familiar with big data platforms, preferably Snowflake (or Databricks, Hadoop, Spark) 

  • Experience with ETL tools, preferably Matillion (or SSIS) 

  • Strong proficiency in SQL and relational databases such as MS SQL, DB2, Oracle, MySQL 

  • Ability to work with a wide variety of data types (i.e. structured and unstructured), extracting and integrating data from modern and legacy data platforms 

  • Experience in cloud platforms (Microsoft Azure, AWS, Google Cloud Platform) 

  • You have effective communication and presentation skills 

 

It will be a plus if you have 

 

  • Strong business understanding of the financial sector (Banking, Insurance) 

  • You are proud to share relevant experience in coaching a team of Junior Data Engineers 

  • You have experience with lean/agile software development 

 

What working at EY offers 

 

EY offers an attractive remuneration package for rewarding both personal and team performance. We are committed to be an inclusive employer and are happy to consider flexible working arrangements. In addition, but not limited to our benefits include: 

 

  • 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) 

 

About EY  

 

EY | Building a better working world  

 

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.   

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate.   

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  

#betterworkingworld 

 

If you can demonstrate that you meet the criteria above, please contact us as soon as possible. 

 

The exceptional EY experience. It’s yours to build. 

 

Apply Now. 

 

 

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Architecture AWS Azure Banking Big Data Business Analytics Business Intelligence Computer Science Consulting Databricks Data pipelines Data quality DB2 ELT Engineering ETL GCP Google Cloud Hadoop Mathematics Matillion MS SQL MySQL Oracle Pipelines RDBMS Snowflake Spark SQL SSIS

Perks/benefits: Career development Flex hours Health care Medical leave Parental leave

Region: Middle East
Country: Cyprus
Job stats:  13  0  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.