Regular/Senior Data Engineer

Luxoft; Wrocław; On-site; PLN 180,000 - 280,000; Full time

Job summary

Luxoft in Wrocław is seeking an experienced Senior Data Engineer to design and deliver governed data pipelines and reusable data products for strategic analytics initiatives. The role emphasizes data quality, lineage, security, and performance across platforms, enabling reliable integration with analytics and AI use cases.

You will collaborate with a development team to support portfolio health insights, produce well-documented code, and create comprehensive documentation.

Qualifications

• 5+ years of data engineering experience in a corporate setting.
• Strong PySpark, SQL and data modelling skills.
• Experience with Azure cloud and Databricks.
• Proficient in Power BI and data visualization.
• Excellent communication with stakeholders.

Responsibilities

• Design and deliver governed data pipelines and reusable data products for the UBS operation platform.
• Ensure data quality, lineage, security and performance, and enable reliable integration with analytics and AI use cases across approved platforms.
• Work in the development team to support the development of portfolio health insights.
• Produce clear and commented code.
• Produce clear and comprehensive documentation.

Skills

Data Eng exp

PySpark

SQL & Modeling

Azure

Databricks

PowerBI

Git / GitLab

JIRA

Data Analytics

IT Architecture

SDLC

Stakeholder comms

Problem solving

Team player

English fluency

Tools

Databricks

Power BI

Git

GitLab

JIRA

Azure

Job description

Project description

Are you passionate about leveraging the latest technologies for strategic change? Do you enjoy problem solving in clever ways? Are you organized enough to drive change across complex data systems? If so, you could be the right person for this role.

Responsibilities

• - Design and deliver governed data pipelines and reusable data products for the UBS operation platform.- Ensure data quality, lineage, security and performance, and enable reliable integration with analytics and AI use cases across approved platforms.- Work in the development team to support the development of portfolio health insights- Produce clear and commented code- Produce clear and comprehensive documentation

SKILLS

Must have

• 5+ years' experience as a Data Engineer, ideally in a large corporate environment
• PySpark experience
• In-depth knowledge of SQL and data modelling/data processing
• Strong experience working with Microsoft Azure
• Develop and maintain data pipelines using Databricks
• Experience with visualisation tools like PowerBI
• Experience working with Git, JIRA, GitLab
• Strong flair for data analytics
• Strong flair for IT architecture and IT architecture metrics
• Excellent stakeholder interaction and communication skills
• Understanding of performance implications when making design decisions to deliver performant and maintainable software.
• Excellent end-to-end SDLC process understanding.
• Proven track record of delivering complex data apps on tight timelines
• Fluent in English both written and spoken.
• Passionate about development with focus on data and cloud
• Analytical and logical, with strong problem solving skills
• A team player, comfortable with taking the lead on complex tasks
• An excellent communicator who is adept in, handling ambiguity and communicating with both technical and non-technical audiences
• Comfortable with working in cross-functional global teams to effect change
• Passionate about learning and developing your hard and soft professional skills

Nice to have

N/A