Senior Business Intelligence Engineer

OEC; Babsk, Kraków; On-site; PLN 180,000 - 240,000; Full time

Job summary

OEC is expanding its data analytics team in Poland to design and build end-to-end data pipelines using Microsoft Fabric and related Azure services. The role focuses on data modeling, ETL/ELT, and creating insightful Power BI reports to support business decisions.

We seek engineers with 6+ years in BI/Data Warehouse, strong T-SQL, PySpark, and English proficiency, plus experience with Fabric and cloud data platforms. Opportunity to influence analytics product direction.

Qualifications

• Degree in CS/SE/Math or related field with strong BI/Data Engineering background.
• At least 6 years of experience in BI, Data Engineering and Data Warehouse development.
• Hands-on experience with Fabric and MS Azure platform components as listed.

Responsibilities

• Design and implement end-to-end data engineering pipelines using Microsoft Fabric.
• Build and maintain Delta Lake–based data models stored in OneLake with ACID and governance.
• Develop and optimize T-SQL queries, stored procedures, and SQL analytics endpoints.
• Implement ETL/ELT processes using Fabric Pipelines, Dataflows Gen2, and PySpark Notebooks.
• Design and develop Power BI semantic models, dashboards, and reports.
• Contribute to AI-powered analytics agents embedded in OEC products.
• Own dashboards and reports driving key business decisions; mentor mid and junior engineers.
• Create and maintain documentation of processes, data models and procedures.

Skills

Microsoft Fabric

Power BI

T-SQL

Python

PySpark

Data Modeling

ETL/ELT

Delta Lake

OneLake

GitHub CI/CD

Agile

English (Advanced)

Education

Bachelor's degree in Computer Science / Software Engineering / Mathematics

Master's degree in related field

Tools

Fabric Notebooks

Data Factory Pipelines

Data Warehouse

Azure Data Factory

Power BI Desktop

Azure SQL

Azure Blob Storage

Entra ID

Job description

Since the year 2000, OEC has grown globally to more than 1,000 employees with a double-digit revenue increase nearly every year. We provide a lively culture, employee rewards and recognition, and the opportunity to develop and implement innovative technology solutions.

Team

We are a team focused on creating tools and solutions that leverage the massive amount of data OEC processes each day. We build end-to-end analytics systems spanning data ingestion, transformation, warehousing, and reporting — all on the Microsoft Fabric platform. We are also actively building AI-powered agents and assistants that help clients unlock insights from their data. If Microsoft Fabric, Data Engineering, and Power BI are the concepts that make your heart beat faster - we will have a lot in common.

Key Responsibilities

• Design and implement end-to-end data engineering pipelines using Microsoft Fabric (Data Factory, Lakehouse, Notebooks, Warehouse).
• Build and maintain Delta Lake–based data models stored in OneLake, ensuring data quality, ACID compliance, and schema governance.
• Develop and optimize T-SQL queries, stored procedures, and SQL analytics endpoints against Fabric Data Warehouse.
• Implement ETL/ELT processes using Fabric Pipelines, Dataflows Gen2, and PySpark Notebooks.
• Design and develop Power BI semantic models, interactive dashboards, and reports.
• Contribute to the development of AI-powered analytics agents embedded in OEC products to support clients in data analysis.
• Own design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards driving key business decisions.
• Provide technical guidance and mentoring to mid and junior engineers.
• Create and maintain documentation of processes, data models, and procedures.

Experience, Skills And Key Competencies

• Engineer's, Bachelor's, or Master's degree in Computer Science, Software Engineering, Mathematics, or a related field.
• At least 6 years of experience in Business Intelligence, Data Engineering, and Data Warehouse development.
• Hands‑on experience with Microsoft Fabric (Lakehouse, Data Factory Pipelines, Dataflows Gen2, Fabric Notebooks, Data Warehouse, Power BI) or with MS Azure platform (Azure Data Factory, Azure SQL, Azure Blob Storage, Entra ID).
• Strong T‑SQL skills and solid understanding of BI/DWH concepts and Data Modelling (star schema, dimensional modelling).
• Experience building ETL/ELT pipelines and working with Delta Lake / Parquet format in OneLake.
• Hands‑on experience with PySpark and Python for data transformation and processing in Fabric Notebooks.
• Work experience with Power BI and DAX/M/Tabular modelling.
• Experience with GitHub for version control and CI/CD.
• Experience with Agile development methodologies.
• Proactive, self‑organizing, and solutions‑oriented mindset with strong attention to detail.
• Advanced English language skills: speaking and writing.

Nice to Have

• Familiarity with Data Science and Machine Learning concepts — understanding of model training, evaluation, feature engineering, and deployment in an analytics context.
• Experience integrating AI/ML capabilities into BI or data products (e.g. predictive analytics, intelligent assistants, LLM-based features).
• Experience with MLOps practices and tooling — model versioning, experiment tracking, automated retraining pipelines, and model monitoring in production (e.g. MLflow, Azure ML, or similar).