Data Engineer

Kato

  • London
  • Permanent
  • Full-time
  • 6 days ago
At Kato, we’re not just building software, we’re transforming how commercial property operates. Our all-in-one platform powers the UK’s top real estate firms, helping them run smarter, faster, and more transparently using rich industry data and AI-backed tools. Backed by top-tier VCs and used in 80% of the UK CRE market, we’re growing fast and we’re just getting started.We’re now looking for an experienced Data Engineer to join our tight-knit engineering team and help scale our data infrastructure and analytics foundation. If you're excited about building robust, production-ready pipelines and transforming messy datasets into trusted business insights, you’ll thrive here.What You’ll Be DoingBuild, ship, repeat: Design and maintain end-to-end data pipelines using Python, dbt, and modern data warehousing platforms to turn raw inputs into high-quality, trusted outputs.Own the data layer: Manage and optimise our cloud-based data warehouse (Redshift, Databricks), ensuring our data infrastructure is scalable, cost-effective, and resilient.Drive decision-making with clean data: Develop gold-standard datasets and dashboards using Amazon Quicksight to support reporting and analytics across the business.Collaborate across teams: Work closely with product, sales, finance and operations to understand business needs, define KPIs, and deliver scalable, accessible data products.Maintain quality and observability: Monitor data pipeline health, implement alerts, and ensure accuracy, documentation, and governance are embedded in everything you build.What We’re Looking For:
  • 2+ years of experience in data engineering, analytics engineering, or a similar technical data role
  • Advanced skills in SQL and Python
  • Proven experience with cloud data warehousing platforms like Redshift, Databricks, BigQuery, or Snowflake
  • Experience building and maintaining ELT pipelines using dbt in a production environment
  • Strong understanding of data modelling principles (e.g., bronze/silver/gold layer design)
  • Hands-on experience with BI tools (Amazon Quicksight, Tableau, Looker, etc.)
  • Familiarity with software engineering best practices: Git, version control, CI/CD, testing
  • Confident communicator with the ability to work effectively across technical and non-technical teams
Bonus Points For:
  • Experience with Airflow, Airbyte, or other orchestration tools
  • Familiarity with ingestion tools like Fivetran
  • Experience working with Spark or distributed computing systems
  • Exposure to AWS and broader cloud infrastructure
  • Knowledge of reverse ETL workflows and tooling
What Success Looks Like:
  • You're delivering clean, well-modelled data quickly and reliably
  • Key metrics and dashboards are trusted and used company-wide
  • You’ve helped scale our data platform to support new products and growth
  • Your work unlocks new visibility for product, sales, and exec teams
  • You're a proactive, go-to partner across the business for data solutions
What You’ll Get:
  • Competitive salary + equity as we want you to share in our growth
  • Private healthcare including dental & optical
  • 25 days holiday + your birthday off + duvet days
  • Hybrid working - 2 -3 days in-office (Carnaby Street), 2 days WFH
  • Snacks, drinks & team lunches in our Soho office
  • The opportunity to help build one of PropTech’s most data-rich platforms from the ground up
If you’re a data engineer who loves building clean pipelines, enabling smart decisions, and collaborating across product and business teams, we’d love to hear from you.

Kato