Data Engineer (Senior) - AWS / Databricks

We are looking for an experienced Senior Data Engineer to join a Data team within an international organization operating in the energy sector.

You will contribute to the design, implementation, and optimization of scalable data solutions that support data-driven initiatives in a complex and constantly evolving business environment.

Working closely with business stakeholders, data analysts, and IT teams, you will ensure that data is available, reliable, and ready to support both analytical and operational needs.

Your Responsibilities

Data Architecture & Platform

• Design, implement, and maintain scalable data architectures (data lakes, data warehouses, and AWS-based databases).
• Contribute to the continuous evolution and optimization of the existing data platform.
• Ensure the scalability, security, and performance of data systems.

Data Engineering & Pipelines

• Develop and optimize ETL/ELT pipelines to integrate data from multiple sources.
• Build and maintain consolidated datasets (“Gold Datasets”) for analytics and reporting.
• Automate data processing workflows to ensure reliable and recurring execution.

Data Development & Quality

• Develop data processing solutions using Python, Spark, and SQL.
• Ensure data quality, consistency, and reliability throughout the entire data lifecycle.
• Collaborate with business stakeholders to continuously improve data quality across the platform.

Collaboration & Governance

• Work closely with Data, IT, and business teams.
• Participate in Agile ceremonies (Scrum/Kanban).
• Document data pipelines, architectures, and technical processes.
• Contribute to the monitoring, maintenance, and production support of the data platform.

• Minimum 5 years of experience in Data Engineering.
• Proven experience managing enterprise data platforms.
• Strong knowledge of AWS services, including:
• Amazon S3
• Amazon Athena
• AWS Glue
• Amazon Redshift
• Hands-on experience with Databricks (preferably on AWS).
• Strong programming skills in:
• Python
• Spark / PySpark
• SQL
• Experience with modern data processing technologies.
• Good understanding of Agile methodologies (Scrum/Kanban).
• Experience with Azure DevOps and release pipelines.
• AWS Certified Data Engineer certification is considered an asset.
• Knowledge of Great Expectations is a plus.

Nice-to-Have Skills

• Previous experience in the energy or utilities sector.
• Familiarity with enterprise systems such as:
• Salesforce
• SAP IS-U
• Experience with Agile tools (Azure DevOps, Jira).
• Additional AWS certifications (Solutions Architect, SysOps Administrator, etc.).
• Knowledge of Collibra.

Soft Skills

• Strong team player.
• Excellent communication skills with both technical and non-technical stakeholders.
• Comfortable working in an international and multicultural environment.
• Adaptable to evolving technologies and changing priorities.
• Well-organized with strong attention to detail.

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 3 to 4 years of experience as a Data Engineer or in a similar role.

Languages

• Fluent in French or Dutch.
• Professional proficiency in English.

Meritis is a fast-growing IT consulting, project management, and software engineering company with more than 900 employees across France, as well as offices in Lisbon, Brussels, and London.

Certified as a Great Place to Work every year since 2013, we place people at the heart of our growth through close support, continuous learning, and professional development (certifications, e-learning, and in-house training).

We work with more than 80 major clients across a wide range of industries, including Banking, Finance, Manufacturing, Luxury, Transportation, Energy, Aerospace, Retail, Telecommunications, and Insurance.

Our areas of expertise include: Agile, Data, Cloud, DevOps, Finance, Cybersecurity, and Software Engineering.