Verita HR
Távmunka
1.8M – 2.4M HUF vállalkozói havonta+ÁFA
Elvárások
- Azure
- SQL
- Python
- ETL
- Data engineering
- Azure Data Factory
- Azure Databricks
- Angol (C1)
A mi követelményeink
Eredeti szöveg. Fordítás megjelenítése
- 2 to 7 years of hands-on experience as a Data Engineer in cloud environments
- Strong SQL skills
- Practical experience with Python in data engineering use cases
- Experience with Azure Data Factory and Databricks
- Good understanding of data pipelines, ETL/ELT and data lifecycle
- Ability to communicate clearly with both technical and non-technical stakeholders
- Experience working in Agile teams
- Cost awareness when designing data solutions
- Curiosity and willingness to learn continuously
Tech stack you will use:
- SQL for data processing and analytics
- Python for transformations and data quality logic
- Azure Data Factory for ingestion (1-to-1 pipelines)
- Databricks for transformations and data quality implementation
- Azure-based data platform services
- Git or similar source code management tools
- CLI environments (bash, PowerShell)
Pozíció / projekt rövid leírása
Eredeti szöveg. Fordítás megjelenítése
Verita HR is an international company providing recruitment support within #Fintech, #Finance and #Banking market in EMEA. We connect the most innovative organizations with the best people in the market. We conduct systematic market research, which allows our Digital Teams to be a step ahead of the competition.
This role sits at the heart of a large digital transformation within a European banking institution. Data is treated as a real business asset, not an afterthought. As a Data Engineer, you will help build and run a modern data platform that supports analytics, reporting, and business decision-making across the organization.
You will work on a mix of cloud-based and on-prem solutions, focusing on reliable data pipelines, data quality, and scalable data processing.
What’s in it for you:
- Exciting role at a leading European bank
- 6 months assignment, B2B contract
- Fully remote role with availability within Central European Time (CET)
- Working with cutting-edge IT technologies
- Personal growth and development opportunities
Napi feladatok
Eredeti szöveg. Fordítás megjelenítése
- Building and maintaining end-to-end data pipelines
- Ingesting data from multiple sources (structured, semi-structured, unstructured)
- Transforming raw data into clean, usable data sets
- Implementing data quality rules and validation logic
- Serving data to business users, analysts, and internal applications
- Managing storage as a core foundation of the data platform
- Working closely with technical and non-technical stakeholders
- Operating in Agile, DataOps and DevOps environments
mutass kevesebbet
Specifikációk
- Online állásinterjú
- Toborzás nyelvei: angol
- Kezdés: 2026-02-01
- Határozott idejű szerződés (6 hónap)
- Távmunka
Metodológia
- Agile managementScrum, Agile
Extrák
- Lapos szervezet
- Kis létszámú csapat
