Geospatial Data Engineer

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.

Be a part of 

Lloyd’s Register is wholly owned by the Lloyd’s Register Foundation, a politically and financially independent global charity that aims to engineer a safer world through promoting safety and education. For a thriving ocean economy, Lloyd’s Register colleagues and Lloyd’s Register Foundation work together to fund research, foster industry collaboration and develop action-oriented solutions to make the world a safer place. 

Want to apply. 

Here at Lloyd’s Register, we care, we share and we do the right thing in every situation. It’s ingrained in our culture and everything we do. We are committed, and continually strive, to lead with our values that empower and enable an inclusive environment conducive to your growth, development and engagement. It doesn’t matter who you are, what you have experienced, how you identify, how old you are, where you are from, what your beliefs are or how your brain or body works – the diversity of our colleagues is fundamental to our futures and the changes we can make together. Our inclusive culture allows us to connect together authentically and to be courageous and bold. We don’t just talk about our differences, we celebrate them! 

We are committed to making all stages of our recruitment process accessible to all candidates. Please let us know if you need any assistance or reasonable adjustments throughout your application and we will do everything we possibly can to support you. 

 If you don't tick every box in these ads, please don't rule yourself out. We focus on hiring people who share our goal of working together for a safer, sustainable, thriving ocean economy. 

We care, we share, we do the right thing.

If you have further questions about this role, please contact us at careers@lr.org and we will respond to you as soon as possible.

Diversity and Inclusion at Lloyd's Register:

Together we are one Lloyd’s Register, committed to developing an inclusive and safe workplace that embraces and celebrates diversity. We strive to ensure that all applicants to LR experience equality of opportunity and fair treatment, because we believe it is the right thing to do. We hope you do too.

   As a Disability Confident Committed Employer, we have committed to:

• ensure our recruitment process is inclusive and accessible.
• communicating and promoting vacancies offering an interview to disabled people who meet the minimum criteria for the job.
• anticipating and providing reasonable adjustments as required
• supporting any existing employee who acquires a disability or long-term health condition, enabling them to stay in work.
• at least one activity that will make a difference for disabled people.

Find out more about Disability Confident at: www.gov.uk/disability-confident

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