Senior Data Engineer - Platform at Ebury
At a glance
- Company
- Ebury
- Location
- Madrid, ES, Spain
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Ebury job
- 🏢 Ebury has 2 jobs here, 2 with visa sponsorship see all
- 📊 4 Data Engineer jobs in Spain in the last 60 days see them
- 🛂 Visa: Highly Qualified Professional permit. Education: Higher education degree guide
- 💡 No salary shown. Ask Ebury if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Architect, design and operate the central Data Platform to support analytics, ML and BI across the company.
- Build and maintain scalable, reliable pipelines, data products and platform frameworks (ETL/ELT, transformation, ingestion).
- Integrate and evaluate new open-source tools and cloud services to expand platform capabilities and reduce operational overhead.
- Partner closely with Data Scientists, Analytics Engineers and BI teams to translate requirements into platform features and APIs.
- Define and enforce data governance, quality, access and security policies for platform users.
- Drive performance tuning, cost optimisation and runbook/observability improvements; mentor peers and document best practices.
Requirements:
- Proven experience designing, building and operating production data platforms, data lakes and cloud warehouses at scale.
- Advanced Python and SQL skills, with focus on transformation, validation and query optimisation for large datasets.
- Hands-on experience with GCP (BigQuery, Cloud Run, Cloud Functions, GKE) or equivalent cloud ecosystems.
- Familiarity with orchestration and modeling tools such as Apache Airflow and dbt; experience with dimensional and graph modelling is a plus.
- Strong practical knowledge of containerisation, CI/CD, Docker, Git and observability for data workloads.
- Professional fluency in English; Spanish is a plus. Collaborative mindset and a drive to mentor and innovate.
Responsibilities
Architect, scale, and maintain Ebury's central Data Platform used across the company. Drive innovation by evaluating new technologies and open-source frameworks. Collaborate with data scientists, analytics engineers, and BI teams to deliver platform solutions while enforcing data governance and security.
Requirements
Proven experience designing, building, and operating production data platforms, data lakes, and cloud data warehouses at scale; advanced Python and SQL skills; experience with GCP and data modeling; professional fluency in English (Spanish is a plus).
Key skills
- Python — in 1200 other listings on The Stack
- SQL — in 545 other listings on The Stack
- Docker — in 464 other listings on The Stack
- Git — in 217 other listings on The Stack
- CI/CD — in 630 other listings on The Stack
- Apache Airflow — in 14 other listings on The Stack
- dbt — in 102 other listings on The Stack
- BigQuery — in 60 other listings on The Stack
- GKE
- Cloud Run
- Cloud Functions
- Data governance
On The Stack (as of 2026-11-05)
Frequently asked questions about Ebury
Is this Senior Data Engineer - Platform role still open?
It was posted on 2026-11-04 and is listed as active on The Stack. Confirm on Ebury's application page before applying.
Does Ebury offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Ebury's site.
Where is this role located?
The listing gives the location as Madrid, ES, Spain. It is marked on-site.
What skills does this role ask for?
The listing names: Python, SQL, Docker, Git, CI/CD, Apache Airflow, dbt, BigQuery, GKE, Cloud Run, Cloud Functions, Data governance.