mthree

Budapest
60% irodai munkavégzés, 40% távmunka

625k HUF alkalmazotti havi bruttó

Elvárások

• Python
• Q
• Magyar
• Angol

Előnyt jelentő készségek

• Git
• Bash
• Perl

A mi követelményeink

Eredeti szöveg. Fordítás megjelenítése

Technical Skills Required:

• Basic familiarity or academic experience with KDB+ / q.
• Proficiency in Python and/or other scripting languages (e.g., Bash, Perl).
• Understanding of relational databases, indexing, schema optimization, and query performance tuning.
• Comfortable working in Linux/Unix environments.
• Exposure to ETL processes, data pipelines, and dashboard/reporting frameworks is a plus.
• Understanding of version control (e.g., Git), CI/CD pipelines, and modern DevOps practices is advantageous.

Desirable Personal Attributes:

• Strong sense of ownership and integrity.
• Knowledge of any functional language will be very beneficial in context of learning KDB and context of the role – this could be e.g., Haskell or Erlang.
• R could be beneficial as well, again – more from learning KDB than something used in the actual project.
• Excellent team collaboration and communication skills.
• Problem-solving mindset with the ability to deliver practical solutions under time constraints.
• High motivation to learn and expand both technical and business domain knowledge.

Pozíció / projekt rövid leírása

Eredeti szöveg. Fordítás megjelenítése

Department Profile: 

TEDRA (Trade Enrichment Data Reporting & Allocations) is part of the Institutional Securities Technology (IST) Division. It is responsible for maintaining, distributing, and reporting on trading, revenue, risk, and reference data (client, product, and pricing). As the authoritative source of key data sets, we are at the forefront of database technology and are heavily involved in data engineering, data science, data visualization, and machine learning efforts across the Firm. TEDRA is also responsible for front and middle office post-execution  applications that facilitate straight-through processing for multiple asset classes. This infrastructure is critical for electronic trading, high frequency trading in particular.

We are looking for a KDB developer to support & develop multi terabyte, massively distributed orders and executions platform for equities, rates and fx globally. The system includes a mix of classic KDB technology with new distributed data engineering state of the art systems, e.g. Kafka, Snowflake etc. We are a diverse data expert group specializing in a variety of big data technologies. While KDB is a major part of our offering, we aim to architect best of breed solutions using a „best tool for the job” approach. The platform serves many businesses and scales to billions of daily orders. The ideal candidate would be capable of navigating KDB and other data processing technologies.

Napi feladatok

Eredeti szöveg. Fordítás megjelenítése

1. Develop and enhance KDB+ and Python-based systems for fast ingestion, low-latency data processing, and real-time analytics.
2. Build tools for data acquisition, quality validation, ETL, and monitoring across diverse asset classes and data types.
3. Contribute to a modular, microservice-based architecture supporting high-availability data solutions.
4. Collaborate with front-office teams (e.g., Swaps desk) and engineering groups to ensure business alignment and infrastructure resiliency.
5. Support application DBA functions, including schema changes, performance tuning, and maintenance of large-scale partitioned KDB+ databases.
6. Participate in agile delivery practices (Kanban), providing input across the full software development lifecycle—from design to production support.

Specifikációk

• Online állásinterjú
• Toborzás nyelvei: magyar
• Azonnali kezdés
• Távmunka heti 2 nap

A toborzási folyamat lépései

1. Application
2. Tech Test
3. Interview with Talent Recruiter
4. Interview with hiring managers

Metodológia

• Agile managementKanban

Extrák

• SZÉP card
• LinkedIn Learning License

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