Key Skills

Job Description

Are you an experienced Data Engineer who enjoys building reliable data solutions and helping colleagues improve their engineering skills? Join Allseas in Delft and help our Data & Analytics team turn complex business data into useful information for teams onshore and offshore. Allseas is a world-leading offshore energy contractor. We are expanding our Data & Analytics team and are looking for a hands-on Senior Data Engineer who takes ownership, works closely with stakeholders and helps strengthen our data platform and engineering standards. Your role You will design, build and support data solutions using Azure, Databricks and Delta Lake. You will integrate structured and unstructured data from enterprise systems, databases, APIs and files, and translate business requirements into reliable data products, analytical models and reporting solutions. Your work will support operational intelligence, business reporting and AI-assistants using governed data. You will also help establish the data foundations for future machine learning capabilities. You will own solutions from design through production support, improve our development practices and mentor colleagues. Data quality, access control, maintainability and cost awareness are part of how you deliver. Key responsibilities Own part of the platform architecture and document design decisions. Build reusable capabilities that enable colleagues to access approved data and independently develop reports and applications. Design and maintain reusable batch pipelines, enterprise integrations and modular ingestion and transformation frameworks in Azure and Databricks, including API integrations. Enable new sources mainly through configuration. Build data models and Delta Lake tables with clear relationships, business definitions and historical data. Work with business owners on data products, ownership, metadata, cataloguing, lineage and master data. Lead the implementation of Unity Catalog security controls, including permissions, role-based and attribute-based access, classification tags, row filters and column masks for sensitive data. Implement data quality checks against source systems, establish monitoring and alerts, including freshness and missed-run checks. Enable safe recovery, repeatable pipeline runs and controlled historical reloads. Optimise queries, pipelines, storage and compute for performance, reliability and cost. Resolve production issues and maintain support procedures. Raise engineering standards through reusable design patterns, typed and tested code, constructive peer reviews and technical improvements. Review work delivered by external partners and solutions colleagues build on the platform. Automate testing and deployment across environments using Git, Azure DevOps and Databricks bundles. Clarify requirements and acceptance criteria, explain technical choices and identify platform improvements with stakeholders. Share knowledge and mentor colleagues in platform design, engineering, modelling, security and delivery. Prepare governed data for AI and develop future ML capabilities, including model integration with specialists as the platform foundations mature. Verify the output of AI development tools for correctness, security and suitability. What we expect from you Demonstrable experience delivering and supporting production data platforms, making architectural decisions and enabling safe self-service through reusable solutions. Strong Python, SQL and Spark skills, with practical knowledge of SOLID principles, domain-driven design, design patterns, type annotations and automated testing. Strong Azure and Databricks experience, including Delta Lake, Unity Catalog, workflows, bundles, compute configuration, storage, authentication and secret management. Practical experience securing sensitive data, with an understanding of role-based and attribute-based access control. Strong data modelling and warehousing skills, with a working understanding of data governance and data management principles. Experience with reliable API integrations, including authentication, pagination, asynchronous processing, rate limits, retries and error handling. Experience with CI/CD, code review and technical mentoring. Clear communication in English, effective stakeholder collaboration and a proactive approach to problem solving in an Agile team. An HBO or BSc degree in Computer Science, Engineering, Information Technology or a related field, or equivalent professional experience. Useful Additional Experience Experience in any one of the following areas is a plus: SAP, SuccessFactors, SAP Business Data Cloud or comparable enterprise source systems. Terraform and infrastructure as code for Azure and Databricks. Event-driven orchestration or orchestration based on data dependencies Experiment tracking, feature tables, model serving or model monitoring. Business glossaries, data stewardship, reference data management, and data lifecycle and retention controls. Integration of streaming, IoT or sensor data from vessels and equipment. What we Offer Joining Allseas gives you the chance to work in a dynamic, fast-paced and entrepreneurial environment, with creative thinking, collaboration and a down-to-earth culture at its core. You will work on IT initiatives that support global offshore and onshore operations, with room to take responsibility and develop professionally. You Can Expect Competitive industry-benchmarked salary and an excellent pension scheme. Performance-based salary increases and bonuses. 30 holiday days per year and flexible working hours. Extensive training and development programmes, study budgets and coaching. An international working environment with committed professional colleagues. Internal clubs, committees, parties and sporting events. Allseas has earned the “World-class Workplace” label. This means that, as an employer, we score above Effectory’s global benchmark for being a good employer. The label is based solely on feedback from our employees. Interested? If you feel you can contribute to our business by taking on this exciting opportunity, we look forward to receiving your CV and motivation letter. Please apply via the ‘Apply’ button. An online personality questionnaire may be part of the selection process. Acquisition is not appreciated. As part of our hiring process, candidates for IT positions are required to obtain a valid Certificate of Conduct (VOG). The screening process will be initiated upon acceptance of an offer and must be successfully completed before the start of employment.

Core Responsibilities

Design, build, secure, and support production data solutions and reusable pipelines using Azure, Databricks, and Delta Lake, integrating enterprise data into governed products, models, and reporting. Improve platform architecture, data quality, security, reliability, and cost efficiency while mentoring colleagues and preparing governed data foundations for AI and future machine learning capabilities.

Requirements

The role requires production data platform experience and strong Python, SQL, Spark, Azure, Databricks, data modeling, security, API integration, CI/CD, and automated testing skills. Candidates should be able to make architectural decisions, collaborate with stakeholders, communicate clearly in English, and have a relevant bachelor's degree or equivalent professional experience.

Benefits

• Competitive Salary
• Pension Scheme
• Performance-Based Salary Increases
• Performance-Based Bonuses
• 30 Holiday Days
• Flexible Working Hours
• Training and Development Programs
• Study Budgets
• Coaching
• International Working Environment
• Employee Clubs and Events