projectSuccessfully occupied
Rate
100 000 CZK - 170 000 CZK
/
month
The reward is calculated upon delivery of 20 MD per month (1MD=8h)
Form of cooperation
Freelance:
Full-time
Sector
Information Technology
Location
Praha, 99% Remote
Project duration
12 months with the possibility of extension
Period of cooperation
16.11.2026
- 15.11.2027
Start date
16.11.2026 asap
Project duration
12 months with the possibility of extension
Period of cooperation
16.11.2026
- 15.11.2027
Start date
16.11.2026 asap
Languages
-
English
-
active, B2/C1/C2
-
German
-
active, B2/C1/C2
Project description
- a unique opportunity to build and develop a modern data environment for significant financial institutions and transform the way data is handled
- working in a team of data specialists and consultants on solving key challenges in data quality management, regulation, and digital transformation using Databricks, Snowflake, and BigQuery
- design and implementation of data quality frameworks, definition of control rules, regular monitoring of data flows, and creation of reporting dashboards
- development and maintenance of data quality pipelines, integration in modern cloud platforms, and implementation of data management methodologies
- application of AI/ML methods in data quality processes (anomaly detection, automated data profiling, and intelligent rule suggestions)
- communication with key stakeholders, translating technical findings and data risks into business language
- support and management of transformative changes and rapid adaptation to the specific environments of individual clients
- option to work in full remote mode from the EU (excluding Germany and Poland) or hybrid with a preference for a few days onsite in Prague
Project requirements
- advanced experience with:
- data quality management (design and implementation of frameworks, control rules, monitoring and tools)
- development and maintenance of data quality pipelines and integrations
- definition of data quality rules, KPIs/metrics, and design of reporting dashboards from scratch or their expansion
- experience with:
- at least 3 years of practice in financial services, banking, payments, fintech, or consulting environments
- modern data platforms such as Databricks, Snowflake, or BigQuery
- utilization of German language at the German B2-C1 level and English language at the English C1 level in a professional environment
- advantageous:
- application of AI/ML methods to data quality processes (anomaly detection, automated data profiling, intelligent rule suggestion)
- relevant university education in Economics, Business Administration, Finance, or an interdisciplinary connection of business and technology
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Praha, 99% Remote
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Titans that have
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Clients that have
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Succcessfully supplied
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