Senior Data / Analytics Engineer at Tines

Dublin, County Dublin, Ireland

Tines Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, SaaS, AutomationIndustries

Requirements

  • Must be based in the greater Dublin area with the ability to go into the Dublin office regularly (ideally 1x/week)
  • Entitled to work permanently in Ireland
  • 5-7 years experience in data engineering with significant architectural experience
  • Proven track record building data architecture in B2B SaaS, particularly with Salesforce/CRM data
  • Deep expertise with modern data stack (Snowflake, DBT, AWS and BI tools - we use Omni)
  • Strong background in data modeling and system design
  • Experience implementing B2B SaaS metrics and GTM reporting
  • Demonstrated ability to translate business requirements into technical solutions
  • AWS experience, particularly with data services and S3
  • Understanding of data governance and security principles
  • Balance of strategic thinking and hands-on implementation skills
  • Able to tailor communication (written and oral) appropriately to different audiences, technical/non-technical, of different seniority
  • Nice to Have:
  • Experience scaling startup data systems to enterprise level
  • Enterprise architecture experience or certification
  • Experience with real-time data processing and streaming
  • Background in data security framework implementation

Responsibilities

  • Design and implement scalable data architecture as Tines grows
  • Establish and maintain data modeling standards and best practices
  • Build and manage ETL processes across diverse data sources
  • Develop core data models in DBT with a focus on efficiency and reusability
  • Own our Snowflake implementation and Omni data layer
  • Drive data governance and security best practices
  • Create clear, maintainable documentation
  • Ensure reliable, high-performance data systems
  • Partner with stakeholders to translate business needs into technical solutions, including presenting solutions to leadership

Skills

Data Engineering
Analytics Engineering
Data Architecture
SaaS Data Structures
Scalable Data Systems
Data Infrastructure

Tines

Automates workflows to enhance productivity

About Tines

Tines offers a platform that helps businesses automate their workflows to improve productivity. The platform allows users to streamline routine tasks, reducing repetitive work, unnecessary notifications, and information silos. It is designed to be user-friendly and can easily fit into existing business processes. Tines supports various functions such as employee lifecycle management, software development lifecycle management, ticket management, and incident alerts, among others. Unlike many competitors, Tines focuses on providing a comprehensive solution that integrates multiple aspects of business operations into one platform. The goal of Tines is to save time and enhance efficiency for teams across different industries by automating their workflows.

Dublin, IrelandHeadquarters
2018Year Founded
$142.1MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees

Benefits

Remote Work Options
Flexible Work Hours
Company Equity

Risks

Emerging no-code platforms could threaten Tines' market share with innovative solutions.
Rapid AI integration may outpace Tines' development, risking competitive edge loss.
Economic uncertainties may reduce client spending on automation tools, impacting revenue.

Differentiation

Tines offers a no-code platform for automating security workflows, enhancing team productivity.
The platform integrates with various business processes, reducing duplicate efforts and information silos.
Tines' subscription model allows flexible pricing based on team size and business needs.

Upsides

Tines secured $50M to enhance AI integration and expand market reach in 2023.
Partnership with Criminal IP boosts platform capabilities with advanced threat intelligence.
Growing demand for no-code platforms empowers non-technical teams to automate workflows.

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