Cloud Data Engineer (f/m/x)

Sii Poland

Bydgoszcz

On-site

PLN 120,000 - 180,000

Full time

2 days ago

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Benefits offered by this job

Great Place to Work

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Medical care

Job summary

Sii Poland is seeking a data engineer to develop scalable data processing platforms and ETL/ELT pipelines in Azure Databricks. You will work on Data Lake/Warehouse solutions, collaborate with analysts and data scientists, and mentor peers in a fast-growing center.

Required: 4+ years in large-scale data projects, Spark/PySpark, SQL/Python, fluent English and Polish, and Poland-based location. The role focuses on end-to-end data processing and documentation within a collaborative team.

Qualifications

Minimum 4 years in data processing projects.
Strong SQL and Python skills.
Experience with Spark / PySpark.
Proven experience designing Data Lake/Data Warehouse.
Ability to build ETL/ELT pipelines and use orchestrators.
Commercial Azure cloud data projects (Databricks, ADF, Synapse, Fabric).
Knowledge of distributed data processing and pipeline optimization.
Fluent English and Polish language skills.

Responsibilities

Design, build, and scale data processing platforms in Data Lake/Platform.
Create and maintain ETL/ELT pipelines from multiple sources in Databricks.
Model data and shape structures for analytics needs.
Implement batch and near real-time data processing solutions.
Monitor, optimize, and evolve pipelines and processes.
Collaborate with data analysts, BI teams, and Data Science.
Gather requirements and propose optimal tech solutions.
Document technical designs and solutions.
Mentor less experienced team members and share best practices.

Skills

SQL

Python

Spark / PySpark

Data Lake

Data Warehouse

ETL/ELT pipelines

Azure Databricks

English

Polish

Tools

Azure Data Factory

Azure Synapse

Fabric

Job description

Do you want to develop your skills in cloud technologies? Join our specialized unit focusing on experts in data processing and analysis within the Data & Analytics Competence Center. We also offer development in the areas of Data Science, Big Data, and Machine Learning.

Your tasks

Designing, building, and developing scalable and high-performance data processing platforms in Data Lake / Data Platform architecture
Creating and maintaining ETL/ELT pipelines for data integration from various sources and processing them in the Azure Databricks environment
Data modeling and preparing data structures tailored to analytical and business needs
Implementing solutions for data processing (batch and/or near real-time)
Monitoring, optimizing, and developing existing pipelines and data processing processes
Collaborating with data analysts, BI teams, and Data Science on data preparation and sharing
Gathering business requirements and proposing optimal technological solutions
Creating and maintaining technical documentation for developed solutions
Supporting and mentoring less experienced team members, sharing knowledge and best practices

Requirements

Minimum 4 years of experience in projects related to processing and integrating large volumes of data
Strong knowledge of SQL and Python
Experience working with data processing frameworks such as Apache Spark / PySpark
Practical experience in designing and building Data Lake and Data Warehouse solutions
Ability to build and maintain ETL/ELT pipelines and work with data orchestration and integration tools
Commercial experience in cloud-based Microsoft Azure data processing projects (e.g., Databricks, Azure Data Factory, Synapse, Fabric)
Knowledge of data processing concepts in a distributed environment and optimizing data pipelines
Ability to communicate fluently in English
Fluent knowledge of Polish is required
Required to be located in Poland

Nice to have

Experience in projects related to data migration from on-premise to cloud (databases: Oracle, PostgreSQL, MS SQL)

Job no. JOB-XWELK

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

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