EY Consultant/Senior Data Engineer Financial Services Lisboa/Porto 

Portugal, Lisbon 

894722450

In this role, you will be instrumental in designing, building, and maintaining robust data infrastructures that support our clients' data-driven initiatives. During implementation, you will collect, aggregate, and analyse structured/unstructured data from multiple internal and external sources, present patterns and insights, and scale data for use in ML and AI use cases.

•Designing and implementing scalable data pipelines and architectures.
•Integrating and transforming data from various sources to support analytics and AI initiatives.
•Ensuring data quality, governance, and security across all data processes.
•Monitoring and optimizing data workflows for performance and reliability.

•Design, develop, and maintain scalable data pipelines and architectures to support data-driven initiatives.
•Collaborate with Cloud Solution Architects to implement complex end-to-end enterprise solutions on cloud platforms.
•Support the strategy, planning, and implementation of data design services, providing sizing and configuration assistance, and performing needs assessments.
•Develop and maintain data lake and data warehouse schematics, layouts, architectures, and relational/non-relational databases for data access and advanced analytics.
•Engage with customers to understand their overall data estate, IT and business priorities, and success measures to design implementation architectures and solutions.
•Assess customers' knowledge of cloud data platforms and overall cloud data readiness, supporting them through a structured learning plan and ensuring its delivery.
•Collect, aggregate, and analyse structured and unstructured data from multiple internal and external sources, presenting patterns and insights.
•Scale data for use in machine learning (ML) and artificial intelligence (AI) use cases.
•Implement data integration, transformation, and storage solutions to facilitate analytics and AI projects.
•Optimize data workflows for performance, reliability, and scalability, ensuring efficient processing of large volumes of data.
•Ensure compliance with data privacy, security, and regulatory requirements in all data engineering activities.

•Proficiency in designing and implementing scalable data pipelines and architectures.
•Expertise in developing and maintaining data lakes, data warehouses, and relational/non-relational databases.
•Strong problem-solving skills and the ability to optimize data workflows for performance and reliability.
•Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
•Commitment to continuous learning and staying updated on the latest advancements in data engineering and big data technologies.
•High levels of autonomy and a dynamic, positive attitude.
•Dedicated, efficient, innovative, resourceful, and able to work under pressure.
•A strong work ethic, technical rigor, and attention to detail.
•Willingness to join a young and dynamic team in a challenging environment.

•A Bachelor's degree in computer science, information systems, engineering, or a related discipline.
•Over 2 years of professional experience in data engineering, data architecture, or a related field.
•Proven experience in designing and implementing scalable data pipelines and architectures.
•Strong understanding of ETL, ELT, data ingestion, cleansing, and engineering skills.
•Hands-on experience with data integration, transformation, and storage solutions.
•Proficiency in programming languages commonly used in data engineering, such as Python, SQL, or PySpark.
•Highly recognized knowledge of Azure Databricks, PySpark, SQL, and/or Python.
•Experience and knowledge in Data Ingestion and Storage, preferably with Azure Data Factory and Azure Data Lake.
•Excellent problem-solving skills and the ability to optimize data workflows for performance and reliability.
•Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
•Full proficiency in English.

•Experience with big data technologies such as Hadoop, Spark, or Kafka.
•Knowledge of data governance, data quality, and data security best practices.
•Familiarity with machine learning and AI concepts.
•Experience in mentoring and guiding junior team members.
•Microsoft and Databricks Certifications.
•Strong business acumen and the ability to understand and address business needs through data solutions

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization. If you’re ready to take on a wide range of responsibilities and are committed to seeking out new ways to make a difference, this role is for you.

•: You’ll develop the mindset and skills to navigate whatever comes next.
•: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
•: We’ll give you the insights, coaching and confidence to be the leader the world needs.
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Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

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

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.