Senior Hr Data Partner

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About Us
SBM Offshore is a global leader in deepwater ocean infrastructure, delivering floating production solutions across the full asset lifecycle-from design and construction to installation and operation. Supported by a global team of more than 8,000 professionals, the Company operates a long-term, asset-backed business model that delivers high-availability assets and predictable cash flows. SBM Offshore combines engineering expertise, operational reliability, and selective innovation to support safe, efficient, and lower-carbon energy production, while extending its capabilities into new opportunities across the blue economy.
Purpose
The Senior HR Data Partner Data Engineer designs, builds, and maintains the infrastructure that enables the collection, storage, and processing of data within the HR function. Is responsible for designing, developing, and implementing comprehensive analytics solutions that facilitate data-driven decision-making across an organization.
Responsibilities
Build and Maintain Data Infrastructure
Data Pipeline Development: Design, implement, and manage data pipelines that extract, transform, and load data from various sources to data warehouses or data lakes.
Data Integration: 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
Performance Tuning: Optimize queries, data structures, and indexing strategies to ensure efficient and fast data retrieval, especially for large datasets.
Troubleshooting and Debugging: Resolve issues within data pipelines, monitor for performance bottlenecks, and implement solutions to improve reliability and efficiency.
Support Data Analysis and Machine Learning Initiatives
Data Preparation for Analysis: Structure and prepare data to be easily accessed and queried by data scientists, analysts, and machine learning models.
Feature Engineering: In collaboration with the HR Reporting and 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
Workflow Orchestration: to 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.
Education
Majors: A degree in Computer Science, Information Technology, Software Engineering, Statistics or Data Science
Experience
+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 (Azure Synapse preferred) 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., AWS S3, Azure Data Lake), particularly when handling unstructured or semi-structured data at scale.
Data Architecture: Working knowledge of building data architectures that scale, including data lakes, data marts, and data warehouses.
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)
Tools and data governance
Compliance
Analytics and reporting
Business Partnering
Digital savvy
HR Acumen
Systems and Technology
Technical Data Management
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 The companies in which SBM Offshore N.V., directly and indirectly, owns investments are se