Senior Data Engineer (Python, Azure)

Posted 6 Days Ago
Be an Early Applicant
Bucharest, București
Senior level
Software • Consulting
The Role
The Senior Data Engineer will collaborate with data scientists and analysts to design and maintain data pipelines, ensuring data ingestion, processing, and transformation using cloud services. Responsibilities include implementing ETL/ELT processes, improving pipeline efficiency, and monitoring data quality and availability.
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 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 including Azure Data Factory, Azure Synapse, Databricks/Spark, Polars/Pandas, Fabric 
  • 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 

Top Skills

Python
SQL
The Company
HQ: London
0 Employees
Hybrid Workplace
Year Founded: 2000

What We Do

Endava is reimagining the relationship between people and technology.

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