Senior Data Engineer

Imagine your career taking you to the depths of innovation and the heights of impact.  Our people enable continuous progress. Their commitment, collective expertise, and unique capabilities are the engine room behind SBM Offshore’s True. Blue. Transition. - shaping the future of energy, and beyond.

About Us:
SBM Offshore is the world’s deepwater ocean-infrastructure expert. Our work is already resulting in cleaner, more efficient energy production. True. Blue. Transition. is our promise to enable that into the future while at the same time using our expertise to support new and existing markets in the blue economy. It starts with Advancing our Core: continuing to advance the decarbonization of traditional energy production. While Pioneering More: helping to enable the energy transition and using our unique capabilities in ocean infrastructure to support more industries to grow sustainably.  Sharing our experience for a better blue tomorrow.

RESPONSIBILITIES & MAIN TASKS

The Senior Data Engineer designs, builds, and maintains the infrastructure that enables the collection, storage, and processing of data within the HR function. He / She is responsible for designing, developing, and implementing comprehensive analytics solutions that facilitate data-driven decision-making across an organization.

Build and Maintain Data Infrastructure

• Design, implement, and manage data pipelines that extract, transform, and load data from various sources to data warehouses or data lakes;
• Combine data from diverse sources (databases, APIs, file systems, and streaming services) to create a unified, organized data source.

Optimize Data Storage and Query Performance

• Optimize queries, data structures, and indexing strategies to ensure efficient and fast data retrieval, especially for large datasets;
• Resolve issues within data pipelines, monitor for performance bottlenecks, and implement solutions to improve reliability and efficiency.

Support Data Analysis and Machine Learning Initiatives

• Structure and prepare data to be easily accessed and queried by data scientists, analysts, and machine learning models;
• In collaboration with the HR Reporting & Analytics team (and other data teams), create and process data features used in predictive models, ensuring data pipelines meet analytical requirements.

Automate Data Processing and Workflow Management

• Automate and schedule data workflows, ensuring that data pipelines run consistently and with minimal manual intervention.

Data Analysis

• Use statistical techniques and tools (such as SQL, Python, R, or Excel) to analyze complex datasets and identify trends, patterns, and correlations.
• Conduct exploratory data analysis (EDA) to understand data distributions and relationships.

JOB REQUIREMENTS

• Majors: A degree in Computer Science, Information Technology, Software Engineering, Statistics or Data Science;
• Professional Experience: More than 3 years’ experience working ETL systems, and big data tools.
• Performance Tuning: Skills in tuning queries and optimizing the data pipeline for faster, more efficient data flow.
• Data Modeling: Experience designing efficient data models (star schema, snowflake schema) for relational and dimensional databases to improve data retrieval and analysis.
• Data Warehousing: Hands-on experience with data warehousing solutions like Amazon Redshift, Google BigQuery, Snowflake, or Azure Synapse for storing, processing, and querying large datasets.
• Cloud Platforms: Practical experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure (Microsoft Azure preferred).
• Data Lakes: Working with data lakes (e.g. Azure Data Lake), particularly when handling unstructured or semi-structured data at scale.
• Python and SQL: Proficiency in Python for data manipulation and scripting, as well as SQL for data querying and management.
• Business Intelligence: Practical experience in data visualization tools (Tableau, Looker, Power BI)
• Languages: Fluent in English, both spoken and written.
• Competencies: Ability to manage complexity and timelines. Detail oriented and data driven work style.
• Communication: Great communication and ability to work in an international environment. Great presentation skills.
   

GENERAL INFORMATION

SBM Offshore N.V. is a listed holding company that is headquartered in Amsterdam. It holds direct and indirect interests in other companies that collectively with SBM Offshore N.V. form the SBM Offshore Group (“the Company”). For further information, please visit our website at www.sbmoffshore.com. The companies in which SBM Offshore N.V., directly and indirectly, owns investments are separate entities.

SBM Offshore is proud to be an Equal Employment Opportunity and Affirmative Action employer. SBM Offshore does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.  All employment is decided on the basis of qualifications, merit, and business need.