Python Data Engineer: Pipelines & Big Data Solutions

act digital EMEA - Alter Solutions

Portugal

On-site

EUR 42,000 - 66,000

Full time

14 days+
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Benefits offered by this job

International team
Learning & development
Career progression
Competitive salary

Job summary

Act Digital seeks a Python Developer / Data Engineer to design, develop and maintain scalable data solutions in a financial services setting. You will build robust data pipelines, ensure data quality, and support analytics and regulatory use cases in collaboration with cross-functional teams.

You will work with PySpark, Hive, Hadoop, and Dataiku DSS, delivering data-driven solutions and documenting technical specifications.

Qualifications

  • Experience building data pipelines with Python and SQL.
  • Knowledge of PySpark, Hive and Hadoop.
  • Experience with Dataiku DSS or similar platforms.
  • Familiarity with Power BI or Tableau is a plus.

Responsibilities

  • Design, develop, and maintain data pipelines and data processing workflows
  • Implement data ingestion, transformation, cleaning, and quality controls using Python and SQL
  • Work with big data platforms using PySpark, Hive, and Hadoop
  • Build and maintain data solutions using Dataiku DSS or similar platforms
  • Ensure data consolidation within a controlled analytical framework
  • Translate business requirements into technical specifications and data models
  • Map data structures, define business rules, and ensure correct data usage
  • Develop, test, and deploy data solutions including unit testing and validation
  • Collaborate with stakeholders to deliver data-driven solutions
  • Support validation phases with end users and ensure solution accuracy
  • Contribute to continuous improvement of data architecture and processes

Skills

Python
SQL
Big data
Agile

Tools

PySpark
Hive
Hadoop
Dataiku DSS
Power BI
Tableau
Jira
Confluence
ALM Octane
AWS
IBM Cloud

Job description

Act Digital seeks a Python Developer / Data Engineer to design, develop and maintain scalable data solutions in a financial services setting. You will build robust data pipelines, ensure data quality, and support analytics and regulatory use cases in collaboration with cross-functional teams.

You will work with PySpark, Hive, Hadoop, and Dataiku DSS, delivering data-driven solutions and documenting technical specifications.

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