Senior Data Engineer, ditto
+ Equity
More information about location
Data sync platform
Be an early applicant
Data sync platform
101-200 employees
Be an early applicant
+ Equity
More information about location
101-200 employees
Company mission
To expand the internet via software enabling devices to synchronise data in realtime, even where the internet doesn't reach.
Role
Who you are
- Mastery of SQL and strong data modeling instincts; comfortable modeling across a diversity of business domains. Proficiency in Python
- Proven ability to build (not just maintain) data platforms: selecting tools, setting standards, and delivering from first principles in a fast-changing environment
- Fluency with ELT + transformation frameworks (e.g., dbt or SQLMesh) and with orchestrators (e.g., Airflow, dbt. dagster)
- Pragmatic engineering habits: testing, version control, PR reviews, incident management, incident CI/CD, documentation, and observability for data
- Excellent cross-functional communication; you translate fuzzy questions into data products and measurable outcomes aligned to Ditto’s edge-first world
- Experience with ingest tools (Fivetran, Airbyte, Stitch) and reverse ETL; familiarity with common SaaS/DB sources
- Tooling we use / value: Snowflake or Databricks; Fivetran/Airbyte/Stitch; dbt or SQLMesh; Airflow; Looker/Omni/Mode/Sigma/other. (We’re open to your informed recommendations as you build the function.)
- If this sounds like the kind of 0→1 you love—owning the blueprint, shipping the foundations, and seeing your work power every decision at a high-growth company—let’s talk
Desirable
- Hands-on with Snowflake or Databricks, and performance/cost tuning at scale
- Built transformations with dbt or SQLMesh and managed semantic layers/metrics for BI (Looker, Omni, Mode)
What the job involves
- You’ll be the founding Data Engineering hire who lays the tracks that let our teams turn product, operations, and GTM data into decisions—fast and reliably
- This role sets up our end-to-end data platform (warehouse, ingest, orchestration, BI) so every team has trustworthy, timely, self-serve insights, directly supporting our mission of resilient data everywhere
- Gather requirements from stakeholders and leverage those to architect and stand up Ditto’s modern data stack from 0→1: choose and implement the warehouse (Snowflake, Databricks, etc.), transformation, orchestration, and BI layers; establish SLAs, cost controls, and observability
- Create robust data ingest from both common and custom sources; design resilient models that serve analytics, experimentation, and operations
- Implement ELT with managed connectors and/or open-source ingestion; codify transformations with frameworks that bring testing, CI/CD, and data contracts to analytics code
- Orchestrate workflows, alerts, and retries; enforce data quality gates so broken data never reaches stakeholders
- Partner with Product, Ops, and GTM to define clear metrics and a semantic layer; enable self-serve exploration and trusted dashboards in Looker/Omni/Mode, or other
- Provide pragmatic analyst support (SQL debugging, dashboard bootstraps, troubleshooting) to unblock teams while the function scales
- Help scope the next role(s) on Ditto’s Data Eng team and help in the hiring process
Our take
While it's convenient to assume that all the data an app needs is always located in a single place, the reality is more messy. Multi-cloud platforms, IoT devices with varied or limited connectivity and even smartphones can hold necessary data for many applications. The problem for developers is how to tame, access and use this data. Ditto exists to fix this, providing a distributed database that pulls and synchronises data from edge devices and the cloud.
Able to operate even in locations without internet, using peer-to-peer WiFi, Bluetooth and wired networks to pull data together, it provides a layer of infrastructure which is increasingly required as IoT picks up steam. However, it is not the only entrant in this growing market, and faces competition from the likes of Whalesync, PieSync and Grouparoo.
While most of these companies provide the same kind of functionality, Ditto's large and growing customer base in the tens of thousands (including the likes of the US Air Force, Lufthansa and Japan Airlines) indicates that its product is a strong competitor in this space. It has also attracted the attention of investors, most recently closing a hefty Series A round. It intends to use this funding to almost double its headcount and to focus on commercializing its product.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Mar 2025
$82m
SERIES B
Apr 2023
$45m
SERIES A
Total funding: $136m
Company benefits
- Fully Remote
Leadership
Max Alexander
(CPO)An extensive background in development, more recently working as a Mobile Engineer for Hipmunk and Product Engineer for Realm Inc.
Adam Fish
(CEO)Co-founded Roobiq in 2011. Following this they were VP of Product at Realm Inc and a Technical Consultant at HBO.
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