Job description
Our client is a fast-growing, international services company operating in the financial sector, specializing in the management and optimization of asset portfolios through data-driven insights and innovative technology solutions. With a strong presence across Europe, the company is currently investing heavily in its digital transformation and is looking to strengthen its Data team.
We are seeking a Data Engineer to support the development and governance of the company’s data and information strategy, enabling data-driven decision making and business growth. In this role, you will design and implement data processes and policies, collaborate with cross-functional teams, and ensure data quality, protection, and compliance with industry best practices.
Key Responsibilities
Oversee the collection, storage, management, quality, and protection of data assets.
Assess and propose improvements to database structures based on business operations and applications.
Lead data migration initiatives from external sources to core internal systems.
Develop and implement efficient data management procedures and data sharing rules.
Ensure compliance with data privacy policies and data protection regulations.
Continuously evaluate and enhance data management strategies and tools.
Support data integrity, standardization, and normalization initiatives.
Manage the reporting environment (data sources, security, metadata).
Assist in defining and revising data & reporting requirements for the data warehouse.
Ensure internal and external regulatory compliance in database implementation.
Provide technical expertise in data storage architectures, data mining, and data cleansing.
Bachelor’s degree in Data Engineering, Computer Science, or a related field.
At least 5 years of experience in a similar Data Engineering role.
Proven experience as a Data Engineer, Software Developer, or equivalent.
Strong proficiency in SQL and solid knowledge of database systems and structures.
Strong analytical and problem-solving skills with excellent attention to detail.
Experience evaluating data tools and recommending improved software solutions.
Understanding of addressing and metadata standards.
Strong organizational, communication, and stakeholder-management skills.
Experience in the financial sector will be considered a strong asset.
Hybrid working model with flexibility for remote work.
Annual performance-based bonus.
Private medical insurance.
Inclusive, collaborative, and international working environment.
Opportunity to contribute to a growing data-driven transformation journey.
