Data Engineer

Company Description

Passionate about digital, data, IoT or AI and willing to join a dynamic and ambitious team on a human scale? 

For more than 15 years, we have been advising companies and administrations and supporting them in the implementation of their transformation projects in Brussels and abroad.   

 To do so, we rely both on technological leverage and on the strength of our DNA based on collective intelligence, agility and entrepreneurial spirit.   

With a presence on five continents and more than 4,000 employees, our goal is to reach more than a €1 billion revenue by 2024. Innovation is at the heart of our development and we are involved in areas linked to the technological changes of major groups, such as Big Data, IoT, Blockchain and Artificial Intelligence.  

 Our values & playfields: 

• Intelligence collective 
• Agility 
• Entrepreneurship /Intrapreneurship 
• Promote diversity/mixity (Support to the Fondation femmes@Numerique...) 
• Commitment (employees, partners, schools, associations...)  
• Respect for human beings and quality of life at work  
• Open-mindedness and inclusiveness   

Together, let’s build Talan’s future.

Job Description

As a Data Engineer, you will be in charge of:

• Designing solutions following architecture guidelines
• Contributing to data engineering-related developments: development activities consist in building and maintaining efficient, reusable, and reliable solutions, as per high standard of software quality, design and testing principles while delivering solutions on-time and on-budget
• Supporting continuous improvement of the services and applications. Identifying bottlenecks and bugs, and defining solutions to these problems
• Delivering production ready services to users with the highest level of satisfaction
• Writing and updating technical documentations in English and making them available to the team and partners.
• Providing effective and timely communication to all relevant teams

Qualifications

You must have extensive experience of 3 years minimum in addition to excellent analytical skills, accuracy, and good listening and communication skills.

You must have extensive experience in the activities outlined below in addition to:

• Ability to collect information focusing on the Why.
• Ability to solve problems creatively and effectively
• Be open to receiving objective criticism and improving upon it.
• Fluent in English and French.
• Familiar with reliability engineering approaches (Dev/Sec/Ops, SRE, etc.) for regularly ingested data workloads

Skills required

• Knowledge of data management, data engineering, and data governance
• Knowledge of data architecture, data security, protection, and privacy
• Proficient with SQL (DDL and DML)
• Experience building data pipelines and data processing systems
• Knowledge of data lake, database, and/or data warehouse architectures for analytical workloads (e.g. OLAP)
• Strong understanding of design principles, algorithms, data structures, and software engineering best practices
• Experience with modern data warehousing solutions such as Snowflake, RedShift, Databricks

Nice to have

• Strong problem solving and analytical skills
• Proficient in Python and/or other modern languages used for batch data processing
• Experience with data ingestion, transformations (ETL/ELT), data modeling, data analysis and data mining
• NoSQL experience
• Familiarity with DevOps concepts, CI/CD pipelines, and orchestrating/scheduling/maintaining data workflows (e.g. developed and/or monitored with Apache Airflow)
• Experience building data visualizations (data dashboards e.g. with PowerBI) and producing data-driven reports
• Experience supporting BI analytical and/or data science workloads in production

Additional Information

The team is located in Brussels but occasional travels to Paris can be expected.