Medior Data Engineer – Databricks & Lakehouse Platform (Cloud)

Offshore Energy International; Nootdorp; Hybrid; EUR 70,000 - 95,000; Full time

Benefits offered by this job

Competitive salary

29 holidays per year

Training opportunities

WFH flexibility

Commuting allowance

Pension scheme

Health insurance

Corporate fitness plan

EAP

Job summary

Fugro is seeking a Medior Data Engineer to shape and build data solutions across the organisation. You will work with stakeholders to translate business needs into scalable data products and production‑grade pipelines on Databricks.

You will implement the bronze/silver/gold medallion architecture, develop PySpark transformations and ensure data quality, governance and observability across cloud environments. This role is based in the Netherlands with flexible hybrid work options.

Qualifications

• 3–6 years of experience in data engineering or equivalent production‑grade cloud pipelines.
• Hands‑on experience with (Apache Spark on) Databricks.
• Strong Python and SQL skills.
• Experience building reliable batch and/or streaming data pipelines.
• Experience with at least one major cloud environment (AWS, Azure or GCP).
• Familiarity with lakehouse concepts (Delta Lake) and data governance (catalogs, permissions, lineage).
• Experience with common ingestion patterns (files, APIs, databases) and balancing reliability, performance and cost.

Responsibilities

• Engage with stakeholders to understand challenges and translate them into data solutions.
• Design, build and maintain cloud‑native batch and streaming pipelines on Databricks.
• Implement the medallion architecture (bronze/silver/gold) for trustworthy datasets.
• Develop transformations in PySpark and Spark SQL and standardise engineering patterns.
• Own data quality, observability and reliability through monitoring and runbooks.
• Collaborate with platform, analytics and domain teams to deliver production‑ready data products end‑to‑end.

Skills

Python

SQL

Databricks

Apache Spark

Cloud platforms

Tools

Unity Catalog

Job description

Job Description

Fugro is a global leader in Geo‑data, building a modern cloud‑based lakehouse platform on Databricks to unlock high‑quality, governed data at scale. As we accelerate our digital transformation, we are looking for a hands‑on Medior Data Engineerwho enjoys understanding business problems, working with stakeholders, shaping and building data solutions, building reliable cloud data pipelines, curating trusted datasets, and enabling analytics and AI across the organisation. You will work closely with engineering, analytics, data science and domain teams to deliver production‑grade data products that power Fugro’s global operations.

Your role

• You engage with stakeholders to understand their challenges, goals and desires outcomes. You translate business needs into data solutions and 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 trustworthy, performant datasets;
• You develop transformations in PySpark and Spark SQL and help standardise 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 governed access, documentation and lineage‑aware development;
• You translate analytical and business requirements into scalable, pragmatic datasets that enable BI, analytics and AI;
• You contribute to engineering best practices, including code reviews, testing approaches, CI/CD and cost‑efficient cloud usage;
• You collaborate closely with platform, analytics and domain teams to deliver production‑ready data products end‑to‑end.

Your track record

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

What Fugro offers

• A competitive salary;
• 29 holidays per year based on a fulltime employment (of which 4 are appointed by Fugro management) and the possibility to purchase 12 additionaldays;
• Extensive career & training opportunities both nationally andinternationally;
• Flexible working hours and theability to work from home in accordance withyour manager andcorporatepolicies;
• Commutingallowance;
• Modern pensionscheme;
• Collective healthinsurance;
• Possibility to register with our corporate fitnessplan;
• Coaching options through our EAP (Employee Assistance Program).