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Data Engineer
Remote – Europe · European Union
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
Remote — work setting source
Location type: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering & Product › Data & AI — team source
Department: Engineering & Product › Data & AI
From the employer’s posting
What you’ll work on
Full postingBuild a reusable Python ingestion framework to speed up each new customer integration
Replace the legacy Java ETL with the new framework
Keep PostgreSQL and Snowflake in sync with real-time streaming and change data capture
Use LLMs to map customer schemas and reduce manual integration work
Own pipelines in production, including monitoring, data quality, recovery and secure data handling
From the employer’s posting
build a Python ingestion framework that turns the next customer integration into something we can reuse, improve and scale
replaces our legacy Java ETL
Keep PostgreSQL and Snowflake in sync through reliable real-time streaming and change data capture pipelines
Make onboarding smarter by using LLMs to map customer schemas and reduce manual integration work
Own your pipelines in production, from deployment and monitoring to data quality, recovery and secure handling of customer data
What you’ll bring
All qualificationsCore experience
- 4+ years in data engineering, building Python and SQL pipelines for complex integrations: unfamiliar sources, inconsistent schemas and incomplete documentation.
- Experience with dbt and DuckDB.
- Hands-on experience with streaming and CDC, including schema changes, backfills and recovery after failures.
- Experience managing infrastructure with Terraform.
- Familiarity with cross-warehouse data sharing or LLM-assisted data integration.
Qualification wording
4+ years in data engineering, building Python and SQL pipelines for complex integrations: unfamiliar sources, inconsistent schemas and incomplete documentation.
Experience with dbt and DuckDB.
Hands-on experience with streaming and CDC, including schema changes, backfills and recovery after failures.
Experience managing infrastructure with Terraform.
Familiarity with cross-warehouse data sharing or LLM-assisted data integration.
About Nevis Wealth
Nevis is building the world’s first AI wealth management platform.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 6, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Nevis Wealth is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- SQL
- AWS
- dbt
- DuckDB
- PostgreSQL
- Snowflake
- Terraform
- Airflow
Where the posting names them
What You’ll Do - Build a reusable Python ingestion framework that makes each new customer integration faster and replaces our legacy Java ETL. - Keep PostgreSQL and Snowflake in sync through reliable real-time streaming and change data capture pipelines.
The Role Every firm joining Nevis brings its own systems, schemas and data quirks. Your job is to make that complexity easier to handle: build a Python ingestion framework that turns the next customer integration into something we can reuse, improve and scale. You’ll also build the real-time pipelines connecting PostgreSQL and Snowflake, keeping data flowing reliably as Nevis grows. You’ll join our Data & AI Platform team, with plenty of room to shape how we build. There’s existing code to improve, new infrastructure to design and an opportunity to use LLMs to make schema mapping and onboarding less manual. If you like understanding a messy problem, making practical decisions and seeing your work run in production, there’s a lot here to get stuck into.
Who You Are - 4+ years in data engineering, building Python and SQL pipelines for complex integrations: unfamiliar sources, inconsistent schemas and incomplete documentation. - Hands-on experience with streaming and CDC, including schema changes, backfills and recovery after failures.
- Hands-on experience with streaming and CDC, including schema changes, backfills and recovery after failures. - Production experience with PostgreSQL, Snowflake, cloud infrastructure (ideally AWS) and Airflow or similar tools. You own deployment, monitoring and troubleshooting. - You use AI tools daily, with concrete examples of integrating them into your workflow to automate tasks and improve how you build
Nice to Have - Experience with dbt and DuckDB. - Experience managing infrastructure with Terraform.
- Build a reusable Python ingestion framework that makes each new customer integration faster and replaces our legacy Java ETL. - Keep PostgreSQL and Snowflake in sync through reliable real-time streaming and change data capture pipelines. - Make onboarding smarter by using LLMs to map customer schemas and reduce manual integration work.
- Experience with dbt and DuckDB. - Experience managing infrastructure with Terraform. - Familiarity with cross-warehouse data sharing or LLM-assisted data integration.
Your next step
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About Nevis
Nevis is building the world’s first AI wealth management platform. We are building the system financial advisors will run on for the next decade. Our AI completes work, automates workflows end to end, and frees advisors to spend more time with clients. In the future, every wealth management firm will run on Nevis.
Nevis was founded by an exceptional team of ex-Revolut executives and has raised $110 million in just two years, including a $70 million Series B led by EQT Ventures & Growth, backed by world-leading investors including Sequoia Capital, ICONIQ, and Ribbit.
The Role
Every firm joining Nevis brings its own systems, schemas and data quirks. Your job is to make that complexity easier to handle: build a Python ingestion framework that turns the next customer integration into something we can reuse, improve and scale. You’ll also build the real-time pipelines connecting PostgreSQL and Snowflake, keeping data flowing reliably as Nevis grows.
You’ll join our Data & AI Platform team, with plenty of room to shape how we build. There’s existing code to improve, new infrastructure to design and an opportunity to use LLMs to make schema mapping and onboarding less manual. If you like understanding a messy problem, making practical decisions and seeing your work run in production, there’s a lot here to get stuck into.
What You’ll Do
Build a reusable Python ingestion framework that makes each new customer integration faster and replaces our legacy Java ETL.
Keep PostgreSQL and Snowflake in sync through reliable real-time streaming and change data capture pipelines.
Make onboarding smarter by using LLMs to map customer schemas and reduce manual integration work.
Own your pipelines in production, from deployment and monitoring to data quality, recovery and secure handling of customer data.
Who You Are
4+ years in data engineering, building Python and SQL pipelines for complex integrations: unfamiliar sources, inconsistent schemas and incomplete documentation.
Hands-on experience with streaming and CDC, including schema changes, backfills and recovery after failures.
Production experience with PostgreSQL, Snowflake, cloud infrastructure (ideally AWS) and Airflow or similar tools. You own deployment, monitoring and troubleshooting.
You use AI tools daily, with concrete examples of integrating them into your workflow to automate tasks and improve how you build
Nice to Have
Experience with dbt and DuckDB.
Experience managing infrastructure with Terraform.
Familiarity with cross-warehouse data sharing or LLM-assisted data integration.
Why Join Nevis?
Work alongside a high-calibre founding team backed by some of the best investors in the world.
A fast-paced, high-growth environment with the opportunity to shape how the business operates.
Be part of a mission-driven company transforming the wealth management industry with huge potential for global impact.
25 days’ annual leave.
Private medical insurance.
Competitive salary and benefits package, including company equity.
Source details
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- Pay
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- Location & working pattern
European Union
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- Work authorization
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