- This role has a high level of autonomy, you will be responsible for defining and creating projects and driving your success
- Support a variety of teams in data gathering, storage, analysis and best practices
- Exploratory data analysis of a variety of data sources including natural language and other qualitative sources
- Improve data quality and consistency by identifying and setting forth strategies for removing duplicates and missing data from source/record systems across functions
- Develop scalable data processing pipelines
- Produce data model documentation outlining standards, guidelines, and strategies across the company
- Improve alignment of project decisions to data road maps by performing governance over projects to check for compliance with defined architecture and standards
- Maintains strong awareness of the security, privacy, ethics, and quality requirements for critical data entities
- High level organization: ability to be process orientated and employ effective forward planning
- Self-motivated and organized
- Ability to multi-task and manage numerous projects
- Personal commitment & "can-do" attitude
- "Hand's on" personality
- Drive, energy, enthusiasm & determination to succeed
- Methodical and analytical – high attention to detail
- Interpersonal skills and language abilities
- Ability to manage multiple priorities, while meeting deadlines
- Ability to add creatively and enhance existing work processes
- Bachelor's degree in computer science, Data Science, or a related/equivalent field or experience
- Python (Standard Library, Pandas, Numpy, Pydantic)
- Experience in Google Cloud or equivalent cloud service provider. Emphasis on design and deployment of serverless data solutions. GCP certifications or proven cloud experience essential
- Understanding of core enterprise data concepts and technologies: warehouses, ETL technologies, OLTP data stores, multiple RDBMSs. Emphasis on experience in BigQuery or equivalent
- Big data gathering, processing, monitoring and maintenance
- Strong planning and organizational skills; strong time and resource management skills
- Strong problem-solving and analytical skills.
- Good communication and teamwork skills.
Data Engineer - Milton Keynes, United Kingdom - Securitas Technology
Description
About the Role
Securitas Technology, part of Securitas, is a world-leading provider of integrated security solutions that protect, connect, and optimize businesses of all types and sizes. More than 13,000 colleagues in 40 countries are focused daily on our purpose to help make your world a safer place and our commitment to deliver an unparalleled client experience. With clients at the heart of all we do, our people, knowledge and technology power our connected ecosystem of health, safety and security solutions and services.
The role...
As a Data Engineer, your role is pivotal in supporting various teams across the company in data gathering, storage, and analysis, contributing to the enhancement of our data infrastructure and practices.
The role is fundamental to our organization's data ecosystem, serving as the architect and builder of data pipelines and infrastructure. With a focus on efficiency and reliability, this role ensures seamless data flow from collection to storage to analysis, empowering teams across the company to derive actionable insights. You will be responsible for designing and implementing scalable solutions, optimizing data processes, and maintaining data integrity. You will play a critical role in shaping our data strategy, driving innovation, and ensuring the highest standards of data quality and governance. This position offers an exciting opportunity to work at the forefront of technology and make a significant impact on our organization's growth and success.
Job Opportunity
What you will do...
Knowledge, Skills & Abilities:
Essential Skills
What you will need...