Senior Data Engineer with Python and Databricks

18 hours ago

Bucharest, Bucureşti, Romania Endava Full time €30,000 - €60,000 per year
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
  • 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 IN Azure, using any of the following: Data Factory, 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
  • Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.
  • Strong experience with Relational and ideally NoSQL databases.
  • 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

Discover some of the global benefits that empower our people to become the best version of themselves:

  • Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;  
  • Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
  • Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
  • Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
  • Health: Global internal wellbeing programme, access to wellbeing apps;
  • Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

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