Azure Data Engineer: Scale Data Products & Pipelines

Zoolatech

Wrocław

Hybrid

PLN 180,000 - 280,000

Full time

11 days ago
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Job summary

Zoolatech in Wrocław, Poland, is seeking an experienced Data Engineer to join a global jewelry manufacturer’s analytics transformation. You will build scalable data products on the Azure/AWS platform, collaborating with product owners and architects to deliver data-driven features and efficient reporting.

You will design, implement, and maintain data pipelines, contribute to data modelling, and own the data products for maximum value across the organization.

Qualifications

  • 5+ years of experience as a Data Engineer or in a Software engineering role with a focus on data.
  • Proven experience with ADF, Data Lake, Synapse, T/U-SQL, Databricks, MDS, DAX, SSIS, and SQL Server
  • Experience with Python (not just scripting but programming)
  • DevOps and CI/CD are must-haves
  • Hands-on with git and coding best practices
  • Unit testing
  • Experience working with relational data sets using SQL
  • Experience with data warehousing, dimensional modelling, and cubes
  • Experience in building and optimizing data pipelines, architectures, and datasets
  • Experience in working with Azure, AWS, or other cloud providers
  • Designed, built, and delivered production-ready data products at an enterprise level
  • Highly proficient in English and able to communicate with all levels
  • Agile mindset and experience with Scrum

Responsibilities

  • Build and implement scalable data products on the global data platform, alongside other engineers.
  • Collaborate with product owners, architects, and stakeholders across the organization to drive analytics.
  • Design scalable, efficient, and stable data products within a product team.
  • Deliver features that drive commercial business cases and reporting efficiencies.
  • Create and maintain high-quality data pipeline architecture and documentation.
  • Convert requirements to technical designs and conceptual data modelling.
  • Own data products and track stability and benefits.
  • Enable others to use data products through a build-once-consume-many approach.
  • Assist with data-related technical challenges and push boundaries.
  • Follow best practices, while thriving in a fast-paced environment.

Skills

Python
SQL
Git
CI/CD
Unit testing
Azure
AWS
Data warehousing
Dimensional modelling
Agile/Scrum
English communication

Education

BSc in Computer Science or related

Tools

ADF
Data Lake
Synapse
T/U-SQL
Databricks
MDS
DAX
SSIS
SQL Server
Apache Airflow
Kubernetes
Helm
Spark
Kafka

Job description

Zoolatech in Wrocław, Poland, is seeking an experienced Data Engineer to join a global jewelry manufacturer’s analytics transformation. You will build scalable data products on the Azure/AWS platform, collaborating with product owners and architects to deliver data-driven features and efficient reporting.

You will design, implement, and maintain data pipelines, contribute to data modelling, and own the data products for maximum value across the organization.

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