Medior Data Engineer

• A diverse and inclusive working environment;
• A competitive salary;
• 29 vacation days per year based on full-time employment (of which 4 are collectively designated by Fugro) and the possibility to purchase 12 extra leave days;
• The possibility to work from home, in consultation with your manager and in accordance with Fugro's remote work policy;
• The possibility to set up an ergonomic home workspace, including requesting equipment such as hardware and basic office furniture;
• A net home office allowance of € 2.35 per day, if applicable;
• A travel allowance, with a mileage allowance for car travel between 10 and 30 kilometers one way and an additional allowance of € 0.10 per kilometer for employees who walk or cycle to work;
• A modern pension scheme;
• Discounts on supplementary health insurance packages through the health insurers with whom Fugro collaborates;
• Free parking and charging points for electric vehicles at our offices in Nootdorp;
• A bicycle lease plan with a contribution from Fugro;
• Access to the fitness room at the headquarters, including participation in group classes;
• The possibility to participate in our corporate fitness plan;
• Coaching and support via our Employee Assistance Program (EAP).

Fugro is a global leader in Geo-data and is building a modern cloud-based lakehouse platform on Databricks. With this, we unlock high-quality, well-governed data at scale. As we accelerate our digital transformation, we are looking for a Medior Data Engineer who gets energy from understanding business problems, collaborating with stakeholders, designing and building data solutions, developing reliable cloud data pipelines, creating trusted datasets, and enabling analytics and AI within the organization.

You will work closely with engineering, analytics, data science, and domain teams to deliver robust data products that support Fugro's global operations.

Your role

• You collaborate with stakeholders to understand their challenges, objectives, and desired outcomes and translate business needs into data solutions and data products;
• You design, build, and maintain cloud-native batch and streaming pipelines on Databricks using Lakeflow, Delta Lake, and orchestration tools;
• You implement the medallion architecture (bronze/silver/gold) to deliver reliable and high-performing datasets;
• You develop data transformations in PySpark and Spark SQL and assist in standardizing reusable engineering patterns;
• You take ownership of data quality, observability, and operational reliability through validation, monitoring, alerting, and runbooks;
• You work with Unity Catalog to ensure well-governed access, documentation, and data lineage;
• You translate analytical and business requirements into scalable and pragmatic datasets that support BI, analytics, and AI;
• You contribute to engineering best practices, including code reviews, testing methodologies, CI/CD, and cost-efficient cloud usage;
• You work closely with platform, analytics, and domain teams to deliver end-to-end production-ready data products.

• You have 3 to 6 years of experience as a Data Engineer or comparable experience in realizing production-ready cloud data pipelines;
• You have hands-on experience with (Apache Spark on) Databricks;
• You possess strong Python and SQL skills;
• You have experience building reliable batch and/or streaming data pipelines;
• You have worked within at least one major cloud environment (AWS, Azure, or GCP) and understand concepts surrounding cloud storage and security;
• You are familiar with lakehouse principles, Delta Lake, and incremental processing patterns;
• You have knowledge of data governance concepts such as catalogs, authorizations, lineage, and data contracts (experience with Unity Catalog is a plus);
• You have experience with common data ingestion patterns (files, APIs, and databases) and know how to find a good balance between reliability, performance, and cost;
• You communicate clearly and collaborate effectively with engineers, analysts, and business stakeholders.

Visit our career page to discover more about what it is like to work at Fugro. Do you have any questions? Please contact Umit Nesar, Talent Acquisition Partner, via +31 6 81 41 07 68.