Senior Data Engineer at Augustus
May no longer be active — verify on the employer site
At a glance
- Company
- Augustus
- Location
- Berlin, Germany
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Salary (as listed)
- EUR 75,000–150,000 per year
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Augustus job
- 🏢 Augustus has 7 jobs here, 7 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Design and build the company's data platform from zero to production: ingestion pipelines, data warehouse, core models and semantic layer.
- Implement reliable, low-latency data flows for batch and streaming use cases to support analytics and AI agents.
- Define and enforce security, governance and auditability for data access (fine-grained permissions, logging, regulator-ready controls).
- Partner with product, engineering and business teams to map sources, translate needs into models and deliver self-serve tooling.
- Ship usable primitives (tables, views, catalogs, ETL/ELT jobs) and embed observability and testing into the data stack.
Requirements:
- 3+ years building data infrastructure and pipelines with cloud platforms (AWS/GCP/Azure) and modern warehouses (Snowflake, ClickHouse, Redshift or similar).
- Strong SQL, ETL/ELT experience and familiarity with orchestration (Airflow, Dagster, or equivalent) and streaming systems a plus.
- Practical experience designing semantic layers, data modeling and production data quality processes.
- Comfortable working in regulated industries (fintech/banking/payments) and implementing audit/security controls.
- Excellent cross-team communication and ability to own end-to-end delivery; willingness to work on-site in Berlin or relocate.
Responsibilities
As the first data hire, you will design and build the entire data infrastructure from scratch, including pipelines, warehouses, and data models. You will create the data layer that supports both human analytics and AI agents within a regulated banking environment.
Requirements
Requires 3+ years of experience building data infrastructure using tools like AWS/GCP/Azure and Snowflake/ClickHouse/Redshift. Candidates must have experience in heavily regulated industries such as banking, fintech, or payments and be based in or willing to relocate to Berlin.
Key skills
- Data Infrastructure — in 11 other listings on The Stack
- Data Architecture — in 39 other listings on The Stack
- Pipeline Development — in 10 other listings on The Stack
- Data Modeling — in 184 other listings on The Stack
- Cloud Computing — in 46 other listings on The Stack
- Data Warehousing — in 56 other listings on The Stack
- Real-time Insights — in 1 other listing on The Stack
- Semantic Layer Design — in 4 other listings on The Stack
- Security Frameworks
- Automation
- Regulatory Compliance
- Fintech Operations
On The Stack (as of 2026-11-05)
- Augustus has 6 other listings on The Stack, 6 of them marked as offering visa sponsorship.
- 166 visa-sponsored jobs in Germany on The Stack, posted in the last 60 days.
- 47 visa-sponsored data engineer jobs in Europe on The Stack, posted in the last 60 days.
- The top of its stated salary (EUR 150,000 per year) is higher than 8 of the 11 other EUR per-year salaries stated by listings in Germany on The Stack.
Frequently asked questions about Augustus
Is this Senior Data Engineer role still open?
It was posted on 2026-05-06. Listings more than 30 days old may no longer be active, so check Augustus's site before applying.
Does Augustus offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Augustus's site.
Where is this role located?
The listing gives the location as Berlin, Germany. It is marked on-site.
What is the salary for this role?
The listing states a salary of EUR 75,000–150,000 per year.
What skills does this role ask for?
The listing names: Data Infrastructure, Data Architecture, Pipeline Development, Data Modeling, Cloud Computing, Data Warehousing, Real-time Insights, Semantic Layer Design, Security Frameworks, Automation, Regulatory Compliance, Fintech Operations.