Data Engineer for BI & Analytics

Bi & Analytics
Chiva, Spain
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Chiva, Spain

Tech stack

Microsoft Active Directory
Agile Methodologies
Automation of Tests
Azure
Continuous Integration
Information Engineering
Data Integration
ETL
Data Vault Modeling
Data Warehousing
Software Debugging
DevOps
Python
Network Security
Scrum
Power BI
Azure
Salesforce
SAP Applications
SQL Databases
Talend
Qliksense
Data Ingestion
Azure
Snowflake
GIT
Data Lake
PySpark
Information Technology
QlikView
Data Management
Stream Analytics
Data Pipelines
Key Vault

Job description

For our BI & Analytics team we are looking for a Senior Data Engineer for BI & Analytics who will be responsible for the design and implementation of reusable and optimized end-to-end data pipelines partnering with internal technical and business stakeholders. You will work closely with the business teams to gather functional requirements, develop data models & design proposals, implement, and test solutions.

  • Support leadership in managing internal and external resources and overseeing larger implementation projects.
  • Identifying required data sources based on business requirements, knowledge of business processes and systems used.
  • Creating data ingestion pipelines from source systems (ERP or cloud SaaS solutions) into a central data warehouse (snowflake)
  • Defining a reusable and robust data model (star/snowflake schema)
  • Further improving and extending a common data integration framework
  • Debugging and optimization of existing pipelines
  • Automating testing procedures to ensure proper data quality.

Requirements

Bachelor's or master's degree in computer science, Engineering, Data Science, Data Engineering or similar field

4+ years hands-on experience around:

  • Data Management (DWH and Data Lake architectures with snowflake, Azure Data Lake Store)
  • Data Modeling (e.g. Inmon, Kimball, Data Vault etc.)
  • ETL/ELT design (with tools such as dbt, Talend etc.)
  • Data Ingestion & Processing (Azure Data Factory, Functions / Batch Ingestion, Stream Analytics,)
  • DevOps (Continuous Integration / Delivery, testing automation, Azure DevOps, Git(-hub)

Experience in the following fields will be considered as strong assets:

  • Proven track record in partnering with the business to extract value from data.
  • Working with data ingested from systems such as SAP (ECC or S4), Salesforce, Tagetik, ProAlpha
  • Data Engineering (Python / pySpark, SQL)
  • Security (Active Directory, Application Gateway, Key Vault, Virtual Networks, Network Security Groups)
  • BI reporting tools, like QlikView/QlikSense, PowerBI

Big-picture thinker with positive attitude while maintaining an attention to detail.

Experienced in managing vendors/partners as well as projects from PoC to scalable solution.

Problem solving skills and capabilities to explain complex situations in an easy and understandable manner.

Project Management skills are a big plus.

Experience working with agile methodologies such as Scrum, SAFe etc.

Team player and motivational capabilities.

Fluent in English.

Apply for this position