Senior Data Engineer

Senior Data Engineer

Wrocław,Poland

Contract

Skills

Azure Data Factory

Automotive industry experience

higher education level within IT or similar fields are preferred

DevOps - pipelines, CI/CD

Azure Databricks

experience in Data Engineering

For our client, global automotive company, we realize a recruitment process for Data Engineer role.

Main Responsibilities:

We build common data platform. One of the main goals is to migrate and re-design solutions from On-premises platform to the cloud in Azure.

We provide interactive reports for customers to help them achieve their goals.

We focus a lot on data ingestion & replication to our common and shared platform in cloud.

We aim to standardize our tools and reporting layer, so that we re-build current BI solutions from i.e. SAP platform to Azure.

We develop data pipelines between vary applications i.e. Azure, SAP, Salesforce, Oracle, MS Dynamics 365

Competences

Hard Skills.

Azure Databricks (Unity Catalog, workflows, Python, Spark/PySpark)

Azure Data Factory

MSSQL

ADLS blob storage: delta tables, parquets

DevOps - pipelines, CI/CD

SQL - advanced

Ready to analyse tasks

Soft skills

Open minded

Engaged

Driver of topics - ready to find his/her way to develop or proceed with topics

Good at collaboration with stakeholders from IT and business side

An ideal candidate profile:

Having higher education level within IT or similar fields are preferred

At least 4 years of experience in Data Engineering

Cloud service platform expertise; preferably Azure and Databricks

Databases (like MSSQL Server or Netezza) don’t have any secret for you

Knowledge of at least three of these services: Azure Data Factory, Azure Synapse, Databricks, Azure SQL Database, Power BI, Spark, Python, Mongo DB, Azure Functions

You are comfortable working in a diverse, complex and fast-changing landscape of data sources

You care about agile software processes, data-driven development, reliability, and responsible experimentation.

Very good English skills both written and spoken are essential