Data Engineer (Python)

Reposted 19 Days Ago
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Iași
Mid level
Software • Consulting
The Role
The Data Engineer will collaborate with the data team to design and maintain data pipelines, ensuring data quality and implementing solutions across various cloud platforms.
Summary Generated by Built In

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling. 

Responsibilities:

  • Work together with data engineers, scientists and analysts to understand the needs for data and create effective data pipelines
  • Solution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using could services and other technologies
  • Create and maintain data solutions mostly in Azure, AWS or GCP (Redshift, Aurora, Athena, Data Factory, Big Query etc.) and rarely on-premise (Sql Server, Oracle, Postgresql)
  • Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
  • Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
  • Monitoring and resolving data pipeline problems, ensuring consistency and availability of the data.

Qualifications

  • Proficient in Python and SQL
  • Strong experience with Relational and ideally NoSQL databases.
  • Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.
  • Strong understanding of ETL/ELT processes.
  • Exposure to data monitoring and observability tools.
  • Relevant experience with Event-Driven Architecture
  • Good understanding of Agile ways of working 

Additional Information

Our diversity makes us stronger - it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us, regardless of background, identity, or personal characteristics, feels valued, respected, and free from discrimination. As an equal opportunity employer, we welcome applications from all individuals and base hiring decisions on merit, skills, qualifications, and potential.

Top Skills

Athena
Aurora
AWS
Azure
Big Query
Data Factory
GCP
Oracle
Postgres
Python
Redshift
SQL
SQL Server
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The Company
HQ: London
9,318 Employees
Hybrid Workplace
Year Founded: 2000

What We Do

For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with our customers to create technological solutions that drive innovation and transform businesses.

Working side by side with leading brands, we build strategies, products and solutions tailored to unique needs, regardless of industry, region or scale. From ideation to production, we support our customers through every step of their digital transformation journey, creating dynamic platforms and intelligent digital experiences across various industries

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