Data Engineer (Trading Data Products) at Exness jobs for internal candidates

May no longer be active — verify on the employer site

At a glance

Company
Exness jobs for internal candidates
Location
Cyprus
Work arrangement
On-site
Employment type
Full-time
Experience
2–5 years
Working hours
40 hours
Visa sponsorship
Offered, according to the listing
Posted
Added to The Stack

✨ The Stack take on this Exness jobs for internal candidates job

  • 🏢 Exness jobs for internal candidates has 13 jobs here, 13 with visa sponsorship see all
  • 🛂 Visa: Foreign Interest Company work permit. Minimum salary: €2,500 a month guide
  • 💡 No salary shown. Ask Exness jobs for internal candidates if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Design, build and maintain scalable ETL/ELT pipelines and data warehouse architectures to support analytics, reporting and ML.
- Assemble large, complex datasets from multiple sources; create data marts and integrations on request.
- Implement and manage data model changes, entity definitions and lineage in the data catalog.
- Set up, run and monitor data quality checks, alerts and pipeline reliability practices.
- Optimize performance for columnar and MPP systems (Vertica, ClickHouse) and maintain relational databases (PostgreSQL, Oracle).
- Collaborate with product, analytics and engineering teams to translate business needs into reliable data solutions.

Requirements:
- Bachelor’s/Master’s in CS, Software Engineering or a related technical field; 3+ years in data engineering.
- Strong Python skills and OOP understanding; advanced SQL proficiency.
- Solid knowledge of DWH design, data modeling and experience with columnar/MMP databases.
- Familiarity with orchestration tools (Apache Airflow, Prefect) and transformation tools (dbt, sqlmesh).
- Experience or familiarity with Big Data processing and data lakes is a plus.
- Good English communication, attention to detail, documentation skills and ability to work effectively in teams.

Responsibilities

Design, develop, and maintain scalable data pipelines and architectures to support analytics, reporting, and machine learning. This includes assembling complex datasets, managing data warehousing processes, and ensuring data quality and reliability.

Requirements

Requires a degree in Computer Science or a related field and 3+ years of professional data engineering experience. Proficiency in Python, SQL, DWH design methodologies, and orchestration tools like Airflow is essential.

Key skills

  • Data Pipeline Design — in 8 other listings on The Stack
  • Data Warehousing — in 56 other listings on The Stack
  • Python — in 1200 other listings on The Stack
  • PostgreSQL — in 296 other listings on The Stack
  • Oracle — in 15 other listings on The Stack
  • Vertica — in 1 other listing on The Stack
  • ClickHouse — in 48 other listings on The Stack
  • Apache Airflow — in 14 other listings on The Stack
  • Prefect
  • Dbt
  • Sqlmesh
  • Object-Oriented Programming
  • Big Data Processing
  • Data Lakes
  • Data Modeling
  • English Proficiency

On The Stack (as of 2026-11-05)

Frequently asked questions about Exness jobs for internal candidates

Is this Data Engineer (Trading Data Products) role still open?

It was posted on 2026-06-25. Listings more than 30 days old may no longer be active, so check Exness jobs for internal candidates's site before applying.

Does Exness jobs for internal candidates offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Exness jobs for internal candidates'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: Data Pipeline Design, Data Warehousing, Python, PostgreSQL, Oracle, Vertica, ClickHouse, Apache Airflow, Prefect, Dbt, Sqlmesh, Object-Oriented Programming, Big Data Processing, Data Lakes, Data Modeling, English Proficiency.

All roles at Exness jobs for internal candidates

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