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.

Kato

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