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Senior Data Engineer

fully flexible

Offer summary

Qualifications:

Bachelor's degree or equivalent professional experience in Data Engineering or related field., Over 5 years of experience in Data Engineering, Data Warehousing, or programming., Hands-on experience with database platforms like Apache Hive, Hadoop, or Microsoft SQL Server., Proficiency in Python for developing data pipelines and managing ETL/ELT workflows..

Key responsabilities:

  • Analyze existing data sources to identify anomalies and trends.
  • Create data pipelines, graphics, and reports to support business objectives.
  • Evaluate business needs and explore ways to enhance data quality and reliability.
  • Identify opportunities for data acquisition to improve insights.

Bonapolia logo
Bonapolia Scaleup https://www.bonapolia.com/
11 - 50 Employees
See all jobs

Job description

We are looking for a certified Data Engineer who will turn data into information, information into insight, and insight into business decisions. This is a unique opportunity to be one of the key drivers of change in our expanding company.

About Our Customer

The Customer is a leading global provider of marketing technology & analytical consultancy with more than 25 years of experience enabling clients to pull insights out of their data more efficiently. The software and consultancy are designed to deliver insights quickly & efficiently without sacrificing quality.

Requirements

  • Bachelor-level expertise demonstrated through formal education or equivalent professional experience
  • 5+ years in Data Engineering, Data Warehousing, or programming within a dynamic (software) project environment
  • Hands-on experience with a database platform such as Apache Hive, Hadoop, Microsoft SQL Server, PostgreSQL, ClickHouse, or similar
  • Proficiency in Python for developing data pipelines and managing ETL/ELT workflows
  • Knowledge of Dagster
  • Expertise in DBT

Nice to Have

  • Understanding of marketing data sources (e.g., consumer panel, retail scanning, survey data, Google Ads, Google Analytics, Facebook Insights, etc.)
  • Experience with Soda validations
  • Background in Terraform
  • Expertise in Azure cloud

English level

Intermediate+

Responsibilities

  • Analyze existing data sources
  • Identify anomalies/trends
  • Create data pipelines, graphics, and reports
  • Evaluate business needs and objectives
  • Explore ways to enhance data quality and reliability
  • Identify opportunities for data acquisition

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Analytical Thinking
  • Communication
  • Problem Solving
Are you interested?

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