Data Engineer, Data Bricks

Avenga

Data Engineer specializing in Databricks for building scalable ETL/ELT data pipelines in a cloud environment. Collaborate with clients to deliver technical solutions and ensure data quality.

Posted 7/25/2026full-timeRemote • 🇸🇰 SlovakiaMid-LevelSenior💰 €3,800 per dayWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing ETL/ELT data pipelines using Databricks and Azure, with strong capabilities in data transformation using PySpark and ensuring data quality and performance. Proficient in client communication for gathering technical requirements and problem-solving.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentDatabricksPySparkAzure Data FactoryPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT Pipeline DevelopmentDatabricksPySparkPythonSQLAzure Data FactoryData Quality AssuranceData TransformationData Processing SolutionsData Engineering Best Practices

Soft Skills

Analytical SkillsProblem-Solving SkillsClient Communication

Tools & Technologies

AzureJupyter Notebooks

Certifications & Qualifications

Databricks Certification

Industry Keywords

Data EngineeringData PipelinesData ProcessingData QualityData Transformation

Tech Stack

Tools & technologies

AzureETLPySparkPythonSQL

About the role

Key responsibilities & impact

Design, develop, and maintain ETL/ELT data pipelines using Databricks
Build and optimize data processing solutions in an Azure environment
Collaborate directly with the client to understand requirements and deliver technical solutions
Develop and optimize data transformations using PySpark
Work with Azure Data Factory and Jupyter Notebooks where applicable
Ensure data quality, reliability, and performance across data pipelines
Troubleshoot and resolve data-related issues
Contribute to the continuous improvement of data engineering solutions and best practices

Requirements

What you’ll need

3+ years of experience as a Data Engineer
Strong experience with Databricks, preferably in Azure Databricks
Hands-on experience with ETL/ELT pipeline development
Good knowledge of Python and SQL
Experience with PySpark
Experience with Azure Data Factory (ADF) is an advantage
Experience working with Jupyter Notebooks is a plus
Ability to communicate directly with clients and gather technical requirements
Strong analytical and problem-solving skills
Native-level proficiency in Czech or Slovak, with strong English communication skills
Nice to have Databricks certification

Benefits

Comp & perks

life insurance
pension contribution
EN/DE/ES lessons
MultiSport card
sick days
meal allowance
lots of company events
offices in Bratislava with quality amenities for lovers of sport, food and coffee
hybrid remote work after mutual agreement