Data Engineers
Software Development
WFA Digital Insight
The demand for skilled data engineers has surged in recent years, with the global data engineering market projected to reach
23.4 billion by 2028. As remote work becomes the norm, companies like EY are looking for talented professionals to join their teams. With a focus on digital skills and a commitment to diversity and inclusion, EY stands out as an attractive employer. Candidates should be prepared to showcase their expertise in data pipeline development, cloud platforms, and data governance, as well as their ability to work collaboratively in a fast-paced environment. According to recent statistics, the demand for data engineers with expertise in cloud platforms has grown by 42% in the past year, making this a highly sought-after skillset.
Job Description
About the Role
As a Data Engineer at EY, you will play a crucial role in designing, building, and optimizing robust and scalable data pipelines and modern cloud-based data platforms. This is an exciting opportunity to work with a multidisciplinary team of data engineering, architecture, data governance, and business domain experts to contribute to complex, high-impact engagements across regulated and data-intensive environments. Your work will enable trusted, high-quality data across the organization, driving informed decision-making and business outcomes.The role is part of EY's data transformation team, which supports leading organizations in delivering large-scale data transformation programs. You will have the opportunity to work with a variety of clients, including financial services companies, and contribute to the development of cutting-edge data platforms.
EY is committed to creating a flexible and inclusive work environment, where employees can thrive and grow. As a remote worker, you will have the opportunity to work from anywhere, while still being part of a global team.
What You Will Do
- Design, build, and maintain scalable data pipelines to ensure high-quality data across the organization
- Ensure data quality, governance, and auditability, adhering to industry standards and best practices
- Collaborate with stakeholders to deliver data-driven solutions that meet business needs
- Optimize data flows and ETL processes to improve efficiency and reduce costs
- Support cloud-based data platform development, leveraging expertise in Microsoft Fabric and Azure Databricks
- Work with structured and unstructured data across modern and legacy platforms
- Develop and maintain data models, data warehouses, and data governance frameworks
- Stay up-to-date with emerging trends and technologies in data engineering, applying this knowledge to drive innovation and improvement
- Participate in agile development methodologies, collaborating with cross-functional teams to deliver high-quality solutions
- Troubleshoot data pipeline issues, resolving problems and implementing fixes to ensure data integrity
What We Are Looking For
- Bachelor's and/or master's degree in computer science, engineering, mathematics, or another relevant subject
- At least 3 years of experience in data engineering, data platforms, or ETL development
- Strong proficiency in SQL and relational databases
- Experience with ETL tools and data pipeline development
- Experience with Python or another scripting language
- Knowledge of data modeling and data warehousing concepts
- Experience with cloud platforms, such as Microsoft Fabric and Azure Databricks
- Familiarity with data governance, data quality, and lineage concepts
- Ability to work with structured and unstructured data across modern and legacy platforms
- Strong problem-solving and communication skills
Nice to Have
- Certifications in data engineering, such as Microsoft certifications or Snowflake certification
- Experience with data visualization tools, such as Tableau or Power BI
- Knowledge of machine learning and artificial intelligence concepts
- Experience working in a remote or distributed team environment
- Familiarity with agile development methodologies and version control systems
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a global team of experts in data engineering and related fields
- Flexible and remote work arrangements, with the ability to work from anywhere
- Access to cutting-edge technologies and tools, including cloud platforms and data engineering software
- Professional development opportunities, including training and certification programs
- Collaborative and dynamic work environment, with a focus on innovation and teamwork
- Recognition and reward for outstanding performance and contributions
- Comprehensive health and wellness benefits, including mental health support
- Generous paid time off and vacation policy, allowing for work-life balance
How to Stand Out
- Highlight your expertise in data pipeline development and cloud platforms, as these are key areas of focus for the role.
- Showcase your problem-solving skills, providing examples of times when you had to troubleshoot and resolve complex data pipeline issues.
- Be prepared to discuss your experience working with structured and unstructured data, including your ability to work with modern and legacy platforms.
- Emphasize your knowledge of data governance and data quality concepts, as these are critical to the success of the role.
- Demonstrate your ability to work collaboratively in a fast-paced environment, highlighting times when you had to work with cross-functional teams to deliver high-quality solutions.
- Consider obtaining certifications in data engineering, such as Microsoft certifications or Snowflake certification, to demonstrate your expertise and commitment to the field.
- Be prepared to discuss your salary expectations and requirements, including any benefits or perks you are looking for in a remote work arrangement.
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