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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on end-to-end data engineering in cloud environments with emphasis on MDM and migrating legacy systems to cloud-native platforms. Core stack includes Python, Apache Spark, Databricks, Delta Lake, Azure Data Factory, SQL/T-SQL. Responsibilities cover solution design, data modeling, ingestion, cleansing, transformations, API provisioning, ETL/ELT optimization and SSIS modernization, plus CI/CD implementation and non-functional requirements. Offered 3 days at the office. Benefits: sports activity subsidy, private medical care, life insurance.
from: 24 September 2026
to: 24 October 2026
salary not specifiedB2B contract (full-time)
Salary details
basic salary
Offer parameters
level:senior
working mode:hybrid
location:Wrocław, Lower Silesia
Wrocław, Lower Silesia
Requirements
Expected technologies
SQL
T-SQL
Python
Apache Spark
Databricks
Delta Lake
Azure Data Factory
C#
Microsoft Azure
Optional technologies
Microsoft Power BI
Our requirements
- Strong end-to-end experience in analytics platforms, data products, data warehouses (Star schema, Data Vault, multidimensional, tabular), and modern architectures.
- Expert in SQL/T-SQL, Python, Apache Spark, Databricks, Delta Lake, Azure Data Factory; batch/incremental/CDC/event-driven patterns.
- Data modeling (logical/physical), ETL/ELT design (high-performing SSIS packages, script components in C#), API development/maintenance.
- Cloud-native (Azure platforms), legacy modernization (SSIS to cloud), technology trade-offs for storage/processing.
Your responsibilities
- Co-drive solution design with Business Analysts, defining target architectures, data models, flows, and integration patterns aligned with UDP principles (cloud-native, scalable, secure).
- Handle data ingestion, cleansing, standardization, transformation, and API provisioning from source systems (e.g., master data customer/product).
- Optimize existing ETL/ELT flows, build infrastructure for extraction/loading from diverse sources, and modernize legacy solutions.
- Assess feasibility, risks, dependencies; create implementation-ready designs, documentation, diagrams, and CI/CD automation.
- Collaborate with stakeholders, data stewards, architects, and teams to implement non-functional requirements (quality, security, stability) and support data-driven services.
- Evaluate/improve analytics solutions, integrate systems, and communicate technical topics to business audiences.
About the project
Senior Data Engineer role focused on end-to-end data engineering in modern cloud architectures, bridging business needs with technical solutions. Join agile product teams to manage MDM data products, optimize data flows, and drive the transition from legacy systems (e.g., SSIS, MS SQL Server BI) to cloud-native platforms like Azure and Databricks. Emphasize data product lifecycle, from design and ingestion to provisioning high-quality master data for analytics and downstream consumption.
What we offer
- 3 days at the office.
Benefits
- sharing the costs of sports activities
- private medical care
- life insurance
Recruitment stages
- 1.Rozmowa z rekruterem ok. 15 min
- 2.Spotkanie rekrutacyjne z klientem ok. 60 min
IT CONNECT Sp. z o.o. Sp. k.
ITConnect – Twój partner w świecie nowoczesnych kadr.
Jesteśmy polską firmą z blisko 20-letnim doświadczeniem na rynku. Nasza historia zaczęła się w 2007 roku, a dziś, dzięki dynamicznej transformacji, wspieramy nie tylko sektor IT, ale również branże takie jak inżynieryjna, budowlana, telekomunikacyjna oraz wiele innych.
W ITC wierzymy, że technologia nas łączy, ale to relacje nas budują.
Nie jesteśmy zwykłym dostawcą usług – przejmujemy operacyjne wyzwania rekrutacyjne, aby nasi klienci mogli w pełni skupić się na swojej strategii i rozwoju.
Co nas wyróżnia?
Szukasz specjalistów do swojego zespołu lub nowej ścieżki zawodowej?
Skontaktuj się z nami i sprawdźmy, co możemy wspólnie zbudować!
Senior Data Engineer
I apply to:
IT CONNECT Sp. z o.o. Sp. k.
Wrocław, Lower Silesia
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