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Rate 6 000 € - 7 000 € / month

Form of cooperation Full-time / 40% Remote

Sector Insurance

Location Bratislava

The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration 12 months with the possibility of extension

Period of cooperation 01.10.2026 - 30.09.2027

Start date 01.10.2026 ASAP or by agreement

Project duration 12 months with the possibility of extension

Period of cooperation 01.10.2026 - 30.09.2027

Start date 01.10.2026 ASAP or by agreement

Technology

ETL
SQL
GIT
Python
Lakehouse
PySpark
Databricks

Languages

Project description

the project is focused on the design, development, and operation of modern data solutions built primarily on Microsoft Azure and Azure Databricks
we are primarily looking for a hands-on Data Engineer with strong practical experience with Azure Databricks, PySpark/Spark, Python, and SQL, who can design, develop, optimize, and operate robust data solutions in an enterprise environment
part of the data team and responsible for data transformation, development and optimization of data pipelines, working with extensive datasets, and preparing reliable production data solutions
the work will also include data modeling, data quality, performance optimization, and ensuring the scalability and reliability of the created solutions
the project involves collaboration with Data Scientists and working with data used for analytical or Machine Learning solutions
tasks and responsibilities:
- design and development of data solutions in the Azure Databricks environment
- development and optimization of data pipelines
- implementation of data transformations using PySpark / Apache Spark
- development of data logic in Python
- working with SQL and extensive data datasets
- design and optimization of data models
- working with Delta Lake and Lakehouse principles
- implementation of ETL / ELT processes
- configuration and management of Databricks Jobs and Workflows
- optimization of Spark workloads and data transformations
- ensuring data quality and validation mechanisms
- performance tuning of data solutions
- troubleshooting of production data pipelines
- ensuring scalability, stability, and maintainability of solutions
- using Git and CI/CD principles in the development of data solutions
- collaboration with Data Scientists and other members of the data team
- preparation of data solutions suitable for a production enterprise environment
- adherence to data governance, security, and access management standards
collaboration is possible in a hybrid REMOTE + ON-SITE mode [ 3 days per week, Bratislava ], or by further agreement with the client
the final remuneration depends on the candidate's experience and the progress of the selection process

Project requirements

min. 4+ years in Data Engineering or related backend/data area
very good practical knowledge of Azure Databricks
advanced practical experience with PySpark / Apache Spark
very good knowledge of:
- Python
- SQL
experience with:
- design and implementation of production data pipelines
- ETL / ELT processes
- Delta Lake or similar Lakehouse environment
- data modeling
- data quality and data validation
- deploying data solutions into production environment
ability to optimize data transformations and Spark workloads
knowledge of Git and basic CI/CD principles
ability to design scalable and maintainable data solutions
active knowledge of the English language at a communicative level (min. B2-C1)
a big advantage:
- broader experience with the Microsoft Azure data ecosystem
- Azure Data Factory
- Azure Storage / Azure Data Lake
- Azure SQL
- experience with Machine Learning workflows
- basic orientation in ML lifecycle
- experience with MLOps principles or tools
- MLflow
- model deployment / model serving
- monitoring of ML solutions
- experience with REST API or real-time data solutions
- Azure DevOps
- Docker / Kubernetes
- experience with Data Governance
- experience from insurance industry
- experience from banking or other regulated enterprise environment
strong analytical and organizational skills
ability to solve problems effectively
independence and willingness to learn
strong interpersonal and communication skills (written and verbal)
team player

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