Senior Data Engineer - Financial Services

Ernst & Young Advisory Services Sdn Bhd; Diegem; Sur place; EUR 45 000 - 60 000; Plein temps

Avantages offerts par ce poste

Flexible working arrangements

Extensive training on technical matters

Access to new technologies

Résumé du poste

A leading global professional services firm in Belgium is seeking a Data Engineer to join their team. In this role, you will develop and maintain data pipelines, manage cloud platforms, and collaborate with stakeholders to support business objectives. The ideal candidate has a Master's degree and experience in data engineering, along with proficiency in Python and SQL. Flexible working arrangements and training opportunities are provided.

Qualifications

• Proven experience in data engineering roles, demonstrating a solid understanding of data modeling and platform building.
• Experience with Azure and Databricks is significant for cloud-based data platforms.

Responsabilités

• Design, build, and maintain robust data pipelines using modern tools for efficient ETL/ELT processes.
• Lead and execute data migration projects ensuring data integrity and quality.
• Set up, configure, and manage cloud-based data platforms.
• Work closely with business stakeholders to align data efforts with business objectives.
• Implement DataOps practices for enhanced collaboration between teams.
• Stay updated with latest technologies in data engineering.

Connaissances

Proficient in Python and Coding

SQL Proficiency

Collaborative Team Player

Strong Communication Skills

Proactive Attitude

Client-Facing Experience

Cloud Technologies Knowledge

Database Technologies Expertise

Language Proficiency (Dutch or French)

Formation

Master’s degree in computer science, engineering, mathematics or another relevant subject

Outils

Databricks

Azure

Description du poste

Other locations: Primary Location Only

Requisition ID: 1597216

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The opportunity

EY Belgium Data team supports our clients in defining and rolling out the right data architecture, data platform and infrastructure that support their needs, implement and maintain automated data pipelines, and infuse data through business intelligence and analytics. We are currently looking for capable and motivated professionals to join our team as Data Engineer.

Your key responsibilities

As Data Engineer, you will do:

• Data Pipeline Development: Design, build, and maintain robust data pipelines using modern tools like Databricks, dbt, … to facilitate efficient ETL/ELT processes.
• Data Migration: Lead and execute data migration projects, ensuring seamless transition of data from legacy systems to new cloud-based platforms while maintaining data integrity and quality.
• Cloud Platform Management: Set up, configure, and manage cloud-based data platforms (e.g., databricks, snowflake, azure) to support data storage, processing, and analytics.
• Collaboration with Stakeholders: Work closely with business stakeholders to understand data requirements, provide insights, and ensure alignment between data engineering efforts and business objectives.
• DataOps Implementation: Implement DataOps practices to enhance collaboration between data engineering and operations teams, ensuring continuous integration and delivery of data solutions.
• Technology Exploration: Stay updated with the latest technologies and trends in data engineering, evaluating and integrating new tools and frameworks (e.g., dbt, Python libraries) to improve data processing and analytics.
• Performance Optimization: Monitor and optimize data pipelines and processes for performance, scalability, and cost-effectiveness in cloud environments.
• Documentation and Best Practices: Maintain comprehensive documentation of data workflows, architecture, and best practices to ensure knowledge sharing and compliance with data governance standards.
• Cross-Functional Collaboration: Collaborate with data scientists, analysts, and other IT teams to ensure that data solutions meet analytical needs and support business intelligence initiatives.

Skills and attributes for success

• Master’s degree in computer science, engineering, mathematics or another relevant subject.
• Minimum 2 Years Experience: Proven experience in data engineering roles, demonstrating a solid understanding of data modeling and platform building.
• Proficient in Python and Coding: Practical experience with Python or other programming languages, enabling the development of data pipelines and automation scripts.
• Database Technologies Expertise: Familiarity with various database technologies (e.g., SQL, NoSQL) to effectively manage and manipulate data.
• Cloud Technologies Knowledge: Experience with Azure and Databricks is a significant advantage, showcasing the ability to work with modern cloud-based data platforms.
• SQL Proficiency: Strong SQL skills are essential for querying and managing relational databases, ensuring efficient data retrieval and manipulation.
• Client-Facing Experience: Ability to interact with clients and stakeholders, understanding their needs and translating them into technical solutions.
• Collaborative Team Player: Experience working collaboratively within a team environment, contributing to collective goals and supporting team members.
• Strong Communication Skills: Excellent verbal and written communication skills, with the ability to present complex data concepts clearly to both technical and non-technical audiences.
• Proactive Attitude: A "go-getter" mentality, demonstrating initiative and a willingness to tackle challenges and drive projects forward.
• Language Proficiency: Fluency in Dutch or French, along with proficient business English, to effectively communicate with diverse stakeholders and clients.

What we offer you

• You will be part of a leading global professional services firm.
• You will be part of the EY family where everyone is willing to offer support and senior management is very accessible.
• You will join a dynamic and growing team with a great mix of young and experienced professionals focusing on financial services.
• You will get extensive trainings on technical matters, as well as soft skills and project management, and you will have access to new technologies and innovative equipment.
• We are proud of our flexible working arrangements, and we will support you to build a successful career and deliver excellent client service, without sacrificing your personal priorities.
• While our client‑facing profession might require part‑time working at client site and business traveling at times, we are committed to helping you achieve a lifestyle balance.

Are you ready to shape your future with confidence? Apply today.

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability‑related adjustments or accommodations you may need.

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