# Senior Data Engineer at FP Markets

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Architect, develop and operate ETL/ELT d

- **Company:** FP Markets (https://jobs.trythestack.co/companies/fp-markets)
- **Location:** Cyprus
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, SQL, Dbt, ClickHouse, ETL, ELT, Data modelling, Data warehousing, Data pipelines, Airflow, Greenplum, Data engineering, Analytical data processing, Data architecture, Business intelligence
- **Posted by employer:** 2026-08-24
- **Added to The Stack:** 2026-08-25
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.workable.com/view/tSLzSpKxt49ypokWWqLYS1/hybrid-senior-data-engineer-in-limassol-at-fp-markets (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-data-engineer-fp-markets

## About the role

Responsibilities:
- Architect, develop and operate ETL/ELT data integration solutions for the data lake/warehouse.
- Design and implement scalable data models and contrib­ute to the overall data estate architecture.
- Build, onboard and maintain reliable data pipelines; optimise for performance and operational stability.
- Monitor and investigate data incidents; provide proactive platform maintenance and operational oversight.
- Translate business requirements into analytics-ready solutions and recommend improvements to tooling and frameworks.
- Evaluate and introduce new technologies (e.g., ClickHouse, MPPs, orchestration tools) to improve throughput and reliability.

Requirements:
- 5+ years of data engineering experience with hands-on Python, SQL and dbt expertise.
- Practical experience with column-oriented databases (ClickHouse) or similar high-volume analytical stores.
- Strong understanding of ETL/ELT patterns, data modelling, warehousing and pipeline development.
- Experience in trading/fintech/financial domains is highly preferred.
- Comfortable working independently, owning technical solutions and resolving complex data problems.
- Nice to have: Greenplum or other MPP experience, Airflow or similar orchestration, automated testing/validation tools (Great Expectations), and familiarity with modern metadata/data governance tooling.

## Responsibilities

Develop and maintain data integration solutions and pipelines for extraction, transformation, and loading into data lake or warehouse environments. Design robust data models and implement scalable solutions to meet business intelligence and analytics demands.

## Requirements

Requires 5+ years of experience in data engineering with strong proficiency in Python, SQL, and dbt. Experience in financial domains such as trading or fintech is highly preferred.

## FAQ

- **Is this Senior Data Engineer role still open?** It was posted on 2026-08-24. Listings more than 30 days old may no longer be active, so check FP Markets's site before applying.
- **Does FP Markets offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on FP Markets's site.
- **Where is this role located?** The listing gives the location as Cyprus. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, SQL, Dbt, ClickHouse, ETL, ELT, Data modelling, Data warehousing, Data pipelines, Airflow, Greenplum, Data engineering, Analytical data processing, Data architecture, Business intelligence.

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## Notes for agents

- Apply on the employer's page (https://jobs.workable.com/view/tSLzSpKxt49ypokWWqLYS1/hybrid-senior-data-engineer-in-limassol-at-fp-markets). The Stack does not take applications.
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- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
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