Data Engineer, Satalia
+ Annual Bonus
Enterprise AI systems
Job no longer available
Enterprise AI systems
101-200 employees
Job no longer available
+ Annual Bonus
101-200 employees
Company mission
To use artificial intelligence to solve exponentially hard efficiency problems.
Role
Who you are
- Proficiency with Python and SQL programming languages
- Hands-on experience with cloud platforms like AWS, GCP, or Azure, and familiarity with big data technologies such as Hadoop or Spark
- Experience working with relational databases and NoSQL databases
- Strong knowledge of data structures, data modelling, and database schema design
- Experience in supporting data science workloads and working with both structured and unstructured data
- Familiarity with containerization technologies, such as Docker or Kubernetes
- Experience with data visualization tools, such as Tableau or Power BI is a plus
What the job involves
- We are investing massively in developing next-generation AI tools for multimodal datasets and a wide range of applications
- We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners
- As a member of our team, you will work alongside world-class talent in an environment that not only fosters innovation but also personal and professional growth
- You will be at the forefront of AI, leveraging multimodal datasets to build groundbreaking solutions over a multi-year roadmap
- Your contributions will directly shape cutting-edge AI products and services that make a tangible impact for FTSE 100 clients
- We are hiring across all experience levels in data science, from entry-level to seasoned professionals, and offer competitive salaries commensurate with experience and skills
- It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI
- Collaborate closely with data scientists, architects, and other stakeholders to understand and implement business requirements
- Provide data engineering support for AI model development and deployment, ensuring data scientists have access to the data they need in the format they need it
- Implement and optimize data transformations and ETL/ELT processes, using appropriate data engineering tools
- Work with a variety of databases and data warehousing solutions to store and retrieve data efficiently
- Implement monitoring, troubleshooting, and maintenance procedures for data pipelines to ensure the high quality of data and optimize performance
- Participate in the creation and ongoing maintenance of documentation, including data dictionaries, data catalogs, data flow diagrams, and process documentation
Application process
- Preferred start date: ASAP
- We aim to respond to all applications within 2 weeks
- If you have not heard from us within 2 weeks this means your application has been unsuccessful
Our take
Satalia specialises in developing advanced AI solutions to enhance operational efficiencies within enterprises such as Tesco and PwC. Among its offerings are products like Satalia delivery, designed to optimise vehicle fleet routes and schedules, and Satalia Workforce, which streamlines personnel allocation and automation.
The versatility of Satalia's technology extends to a wide range of applications, including personnel scheduling, vehicle routing, infrastructure planning, warehouse optimisation, and inventory allocation. In 2021, the company was acquired by WPP. This aligns with WPP's commitment to leveraging technological advancements to fuel growth and reinforce its industry leadership.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Oct 2020
$0.3m
GRANT
Total funding: $0.3m
Company benefits
- Flexible hours and remote work
- Discretionary bonus
- Enhanced paid family leave
- Private healthcare
- Life assurance
- Income protection
- Salary sacrifice pension
- Career development opportunities
- Autonomy
- Diverse, engaged and caring team
Company HQ
London, UK
Leadership
Daniel Hulme
(CEO)Chief AI Officer at WPP. CEO and Co-Founder at Conscium, as well as an Advisor with AI Assurance Club.
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