Data Engineer

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 Doing

Build, 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.