Senior Data Engineer / Data Modeller, Keyrus
Data Mesh
+ Discretionary Bonus Scheme
Office located in One Canada Square, London
AI-driven toolkit for data analytics
Job no longer available
AI-driven toolkit for data analytics
1001+ employees
Job no longer available
+ Discretionary Bonus Scheme
Office located in One Canada Square, London
1001+ employees
Company mission
Keyrus's mission is to "make data matter".
Role
Who you are
- Proven experience in data modelling, database design, and development
- Proficiency in SQL and database management systems (e.g., Oracle, MySQL, PostgreSQL, SQL Server)
- Familiarity with data modelling tools such as ERwin, ER/Studio, or PowerDesigner
- Strong analytical and problem-solving skills, with the ability to translate complex business requirements into data models
- Experience with Agile development methodologies and version control systems (e.g., Git) is a plus
- Previous experience working with Data Mesh
What the job involves
- As a Data Modeler, you will play a crucial role in designing, implementing, and maintaining data models that support the organization's business objectives
- You will collaborate closely with stakeholders from various departments to understand their data needs and translate them into efficient and scalable data models
- This role requires a deep understanding of database design principles, data modelling techniques, and proficiency in relevant tools and technologies
- Develop conceptual, logical, and physical data models that accurately reflect the organization's data requirements and business processes
- Collaborate with business analysts, data engineers, and other stakeholders to gather and analyze requirements for new data models or modifications to existing ones
- Design database schemas, tables, views, and indexes to optimize data storage, retrieval, and performance
- Apply normalization techniques to ensure data integrity and minimize redundancy, while also considering denormalization where necessary to improve query performance
- Design data integration solutions to facilitate the seamless flow of data between different systems, databases, and applications
- Implement data quality checks and validation rules to ensure the accuracy, completeness, and consistency of data across the organization
- Monitor database performance and identify opportunities for optimization through indexing, partitioning, query optimization, and other techniques
- Create and maintain documentation for data models, including entity-relationship diagrams (ERDs), data dictionaries, and metadata definitions
- Work closely with cross-functional teams, including software developers, data scientists, and business stakeholders, to align data models with business requirements and technical constraints
- Stay updated on emerging trends, best practices, and technologies in data modelling and database design, and proactively recommend improvements to existing processes and methodologies
Salary benchmarks
Our take
Data is an invaluable resource to modern businesses, empowering actionable insights that can significantly optimise business operations. However, the massive quantities of data that must be analysed to achieve such insights can be problematic to work with, requiring vast teams of data engineers and analytic infrastructure.
Keyrus provides a 'playbook' suite of AI-driven data analytics tools, helping businesses maximise their data’s value without the need for large-scale data engineering teams. The company's tools primarily focus on optimising user experiences across software and web products on any platform and offering data-driven tools for cloud-based technology, cybersecurity, and overall business digitisation, transformation, and innovation.
Whilst the company will face competition from startups producing specialised AI-driven tools for businesses, Keyrus shows excellent potential to compete due to its unified approach to applying AI to data analysis. Through this approach, the company aims to empower businesses to maximise the potential of their data with unfragmented white-label tools and consultancy, future-proofing their operations without the need for unaffordable data engineering hires.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
2% employee growth in 12 months
Company
Company benefits
- Access to our KLX platform with + 10.000 pieces of training
- Informal work environment where you get coached by experts and receive support to help you in your professional and personal growth
- Pension scheme
- Private medical insurance
- Annual bonus
- The chance to work with different technologies
- Be part of a company that wants to have an impact on the (digital) future
- An international, start-up mindset community of experts spread across 18 countries
Company HQ
Levallois-Perret, France
Leadership
Bruno Dehouck
(CEO of UK & Iberia)Experience as Manager of KPMG from 2002 to 2004. Associate for KERTIOS from 2004 to 2008.
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