Data Engineer
Sigma Computing UK Limited · New York City, NY · posted 30 days ago
Going rate £54,700UK median £56,914
Home Office going rates from
Occupation
2134Programmers and software development professionals
Going rate for this occupation: £54,700 · UK median pay £56,914
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£42,289 to £75,794estimated
- Going rate£54,700
- UK median£56,914
View these figures as a table
| Percentile | Pay |
|---|---|
| 10th | £32,835 |
| 25th | £42,289 |
| 50th | £56,914 |
| 75th | £75,794 |
| 90th | £102,860 |
| Going rate | £54,700 |
| UK median | £56,914 |
Sponsorship
Sponsorship chance
High
- Licensed for Skilled Worker
- Occupation is eligible for Skilled Worker
- Estimated salary is below the going rate
On the public records we hold, sponsorship for this role looks likely: licensed for Skilled Worker, and occupation is eligible for Skilled Worker.
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Data Engineer, Data Platform
About the Role
We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the Head of Data, this is a high visibility role with the opportunity to work on greenfield projects.
If you’re a data engineer with a builder mindset, who wants to leverage a best-in-class stack, and genuinely is invested in Sigma’s mission, let’s chat!
What You Will Be Doing
Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma ( Tech we use : Fivetran, dbt, Snowflake, Sigma, Hightouch, Metaplane)
Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses
Partner with our infrastructure engineering team to ensure high availability of all key data assets
Build and scale our data governance policies
Work cross functionally to accomplish all of the above! You’ll work across Product, Engineering, GTM—with users of all skills and levels
Qualifications We Need
Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks)
Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success.
Experience deploying data governance frameworks with a scalable and repeatable process
Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that
3+ years of relevant experience working in a data engineering role
Startup experience
Qualifications We Want (also, skills you’ll learn!)
A drive to continuously learn (and share those learnings) about the evolving data ecosystem
Familiarity with dbt
Advanced knowledge python knowledge
Advanced knowledge and strong opinions around orchestrators (e.g., Astronomer, Airflow, Dagster)
Advanced knowledge of working with public clouds (e.g., AWS, GCP)
Information from public records, not immigration advice.