Data Modeller, Keyrus

Salary not provided
SQL
Postgres
MySQL
Oracle
Git
Mid and Senior level
London

Office located in Canada Square, London

Keyrus

AI-driven toolkit for data analytics

Job no longer available

Keyrus

AI-driven toolkit for data analytics

1001+ employees

B2BArtificial IntelligenceBig dataMarketingAnalyticsSaaSData Analysis

Job no longer available

Salary not provided
SQL
Postgres
MySQL
Oracle
Git
Mid and Senior level
London

Office located in Canada Square, London

1001+ employees

B2BArtificial IntelligenceBig dataMarketingAnalyticsSaaSData Analysis

Company mission

Keyrus's mission is to "make data matter".

Role

Who you are

  • This role requires a deep understanding of database design principles, data modelling techniques, and proficiency in relevant tools and technologies
  • 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
  • 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

Application process

  • We usually respond within a week
  • Contact: Nikki Vazanias

Salary benchmarks

Our take

Data is an invaluable resource to modern businesses, empowering actionable insights that can significantly optimize business operations. However, the massive quantities of data that must be analyzed 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 maximize their data’s value without the need for large-scale data engineering teams. The company's tools primarily focus on optimizing user experiences across software and web products on any platform and offering data-driven tools for cloud-based technology, cybersecurity, and overall business digitization, transformation, and innovation.

Whilst the company will face competition from startups producing specialized 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 maximize 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 headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Few candidates hear
back within 2 weeks

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 values

  • Excellence - We are experts who strive to exceed expectations
  • Trust - We encourage openness & transparency amongst colleagues to foster positive working relationships
  • Creativity - We reach out from our comfort zones to turn creative ideas into reality
  • Kindness - We demonstrate empathy & concern for the well-being of others
  • Fun - We take pleasure in everything we do

Company HQ

Levallois-Perret, France

Leadership

Bruno Dehouck

(Managing Director)

Experience as Manager of KPMG from 2002 to 2004. Associate for KERTIOS from 2004 to 2008.

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