Job ID:40140
Data Engineer
Job ID:
Location: Southampton: Hampshire House (LR_L000484) / Europe
Position Category: Consultancy
Department: LR OneOcean
Position Type: Employee Regular
Education Required: See Job Description
Experience Required: See Job Description
Relocation Provided: No
We are a leading international provider of classification, compliance & consultancy services to the marine & offshore industry, helping our customers design, construct & operate their assets to the highest levels of safety & performance. We are shaping the industry’s future through the development of novel & innovative technology for the next generation of assets, while continuing to deliver solutions for our customers every day.
About the role:
This is an exciting opportunity to join Lloyd’s Register One Ocean (LROO) as a Data Engineer in the Ship Performance Modelling Team within the LROO Perform portfolio.
The Ship Performance Modelling Team bridges OneOcean’s digital product portfolio and Lloyds Registers Advisory services. The successful candidate will be responsible for developing data processing pipeline and consolidating the disparate data sources that currently exist around the business. The role involves integrating data from various data sources (internal, external APIs, customer data files), synchronising and merging them, design and apply relevant filtering, and visualise the outcome. You will be responsible for analysing complex data sets, developing innovative data models and pipelines, and providing actionable insights. Elementary ML knowledge is required to understand how data quality affects our ML models.
The role will be based at LR’s prestigious Global Technology Centre (GTC) and will benefit from LR’s flexible working approach.
Key Responsibilities:
Develop and implement a comprehensive data strategy aligned with the organization's goals and objectives. Data Mining and Cleaning: Collect, clean, and preprocess large volumes of structured and unstructured data from various sources. This involves data wrangling, data integration, and data quality assessment to ensure accuracy and reliability. Establish data governance frameworks, policies, and procedures to ensure data quality, privacy, and compliance with relevant regulations. Design and maintain data architecture, including data models, data flows, and data storage systems. Collaborate with IT teams to ensure efficient data storage, backup, and recovery processes. Lead data analysis initiatives to extract meaningful insights and trends from structured and unstructured data sources. Data Visualization: Create compelling data visualizations, dashboards, and reports to effectively communicate insights and recommendations to stakeholders. Present findings in a clear and concise manner to both technical and non-technical audiences. Apply statistical and analytical techniques to interpret data and present findings to stakeholders in a clear and actionable manner. Write data parsers handling various external customer data sources Analyse data and automate intuitive visualisations Develop monitoring tools to ensure acceptable data quality for ML features Write code for ML-related data processing pipelines Programming, debugging, testing, and maintaining machine learning based software products Cooperation and support for other developers, data engineers and research team Preparation and updating of technical documentation
To be successful in the role, you will need:
A genuine interest and curiosity for all things digital, data, and digital transformation the maritime industry Excellent and demonstratable analytical and critical thinking skills Proven experience as a Data Engineer or in a similar role, with a track record of successfully delivering data-driven solutions. Strong knowledge of the Python data ecosystem (numpy, pandas, Jupyter) Industrial experience developing data quality checks and metrics, especially for ML platforms An understanding of statistical concepts, machine learning algorithms, and predictive modelling techniques. Experience with data visualization tools such as Tableau, Power BI, or matplotlib. Experienced in formulating and implementing business plans and strategies to meet operational objectives Familiarity with big data technologies (e.g., Hadoop, Spark, Databricks) and cloud computing platforms (e.g., AWS, Azure) is a plus. Excellent problem-solving skills and the ability to work on multiple projects with competing priorities. Strong communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
About us
We are a leading international technical professional service provider and a leader in classification, compliance, and consultancy services to the marine and offshore industry, a trusted advisor to our customers helping to design, construct and operate their assets to the highest levels of safety and performance. We are shaping the industry’s future through the development of novel and innovative technology for the next generation of assets, while continuing to deliver solutions for our customers every day.
