Python Job: Data Engineer

Job added on

Company

IWG plc

Location

Porto - Portugal

Job type

Full-Time

Python Job Details

Porto, Portugal - Hybrid
More details
Permanent
Data Scientist
At least 2 years of experience - Intermediate
Visa support
Language(s): Required English
| Nice to have Portuguese
SKILLS

Must have:
SQL
Python
Microsoft Azure

Other Required:
SSIS
Tableau
Microsoft Power BI
Azure Data Factory
ETL
Data Lake
DESCRIPTION
About IWG
We’re changing the world of work. We believe that business success is underpinned by the effectiveness of its people. So we made it our mission to help millions of people have a great day at work – every day. With locations in practically every country, city, town and transport hub, and options ranging from an hour’s coworking to multi-year office space leases, we enable people and businesses to work where, when and how they want.

The role
As a Data Engineer for IWG you will
  • Contribute to the development of the data strategy and roadmap
  • Produce and develop integrated end-to-end data solutions
  • Complete assessments to ensure compliance with data protection legislation (ie. GDPR)
  • Advise and support on all aspects of data governance
  • Document models, diagrams to development teams, architecture review board, and technical leadership
  • Be responsible for the development and production support of data integration, automation, and defining pipeline for data integrations
  • Explore and research new technologies and perform POCs as needed
  • Works as part of a wider team of data-oriented professionals that is reporting to the Director of Architecture.
What you’ll need to succeed
You have a Bachelor’s degree in Computer Science or equivalent, a Master's degree in information management or equivalent degree and/or experience would be desired. You have at least 2 years of successful experience working in a data engineering role.
REQUIREMENTS
Qualifications /Skills /Experience
  • Demonstrable Python and SQL experience
  • Strong experience in utilizing ETL tools
  • Azure Data Factory and SSIS experience
  • Azure ecosystem experience
  • Experience with Azure Data Lake
  • Fluent level of English, both written and spoken
  • Knowledge of other Data and BI tools like Power BI, Tableau
  • Knowledge of other Data and BI tools like Power BI, Qlikview
  • Knowledge of Power BI Paginated reports
REMOTE DETAILS
Remote working policy is 5 days a month at the office for collaboration meetings.