Senior Data Engineer with Python and Databricks

Endava Technology
Romania
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Python","SQL","Azure","Databricks","Spark","Polars","Pandas","Data Factory","Synapse","Fabric","Korean?"]

Design, build, and maintain scalable data pipelines and data solutions in Azure, collaborating with data scientists and analysts to ingest, process, and transform data while ensuring quality, observability, and cost-efficiency in a hybrid work environment.

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FursaFursa
Endava Technology
Endava Technology
2 months ago

Senior Data Engineer with Python and Databricks

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Design, build, and maintain scalable data pipelines and data solutions in Azure, collaborating with data scientists and analysts to ingest, process, and transform data while ensuring quality, observability, and cost-efficiency in a hybrid work environment.
Location: Romania
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Work with data scientists and analysts to understand data needs and create effective data pipelines.
  • •Design, implement, and maintain data pipelines for data ingestion, processing, and transformation using cloud services and related technologies.
  • •Create and maintain data solutions in Azure using Data Factory, Synapse, Databricks/Spark, Polars/Pandas, Fabric.
  • •Implement data validation and cleansing procedures to ensure quality, integrity, and dependability of data.
  • •Improve the scalability, efficiency, and cost-effectiveness of data pipelines.

Pay and Benefits

Perks:Share PlanHybrid WorkWellness StipendEmployee Assistance

Key Requirements

  • •Proficient in Python and SQL.
  • •Knowledge of data design principles (Kimball, 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.
Experience:Data engineeringData pipelinesCloud computing
Skills:PythonSQLAzureDatabricksSparkPolarsPandasData FactorySynapseFabricKorean?
Languages:English
Tech Stack:PythonSQLAzureDatabricksSparkPandasPolarsData FactorySynapseFabric

Company Brief

Endava Technology
Provides IT services and digital engineering, delivering software development, automation, and consulting to enterprises across financial services, payments, telecommunications, and retail to accelerate digital transformation.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 2000
WebsiteLinkedIn