Data Engineer Senior

We are looking for a talented Senior Data Engineer to join our dynamic team and work on exciting, data-driven projects! This role is ideal for an experienced Data Engineer who enjoys designing and implementing data pipelines and working closely with cross-functional teams to deliver robust, scalable data platforms.

Type:

Remote

Job ID:

JR-107316

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Technologies:
AWS Lambda
AWS Glue
AWS Step Functions
PySpark
Python
Redshift
DBT
SQL
Locations:
Albania
Bulgaria
Georgia
Hungary
Montenegro
Poland
Portugal
Serbia
Ukraine

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Job (Project) Description :

We are looking for a talented Senior Data Engineer to join our dynamic team and work on exciting, data-driven projects! This role is ideal for an experienced Data Engineer who enjoys designing and implementing data pipelines and working closely with cross-functional teams to deliver robust, scalable data platforms.

Requirements:

  • 4+ years of experience in Data Engineering;
  • At least 1 year of hands-on experience developing data pipelines using Databricks;
  • Hands-on experience working with Azure cloud, developing pipelines with Azure Data Factory, Synapse, etc.;
  • Strong proficiency in Python (PySpark) and SQL;
  • Familiarity with data lake environments, including handling both structured and unstructured data;
  • Knowledge of data warehouse, data lake, and enterprise big data platforms;
  • Upper-Intermediate English skills (verbal and written);
  • Ability to excel in a diverse, international, multicultural environment;
  • Strong communication and persuasion skills;
  • Capability to effectively engage with both technical and business stakeholders;
  • Proven ability to work independently and collaboratively as part of an international project team.

Nice to have:

  • Azure and/or Databricks certificates;
  • Experience working on projects for Medical or Pharmaceutical companies.

Responsibilities:

  • Plan, build, and implement data solutions primarily on Azure cloud;
  • Develop and optimize data pipelines using Databricks, Azure Data Factory, and Synapse;
  • Analyze data sources, design and develop ETL pipelines for both structured and unstructured data;
  • Collaborate with cross-functional teams to ensure scalable and performant data architecture;
  • Establish and maintain technical specification documentation;
  • Create data models and improve data quality and reliability.

What We Offer:

  • Competitive salary;
  • 100% remote opportunity;
  • Opportunities for professional growth and advancement;
  • A collaborative and innovative work environment;
  • 20 days of paid vacation, 15 paid days of sick leave with a doctor’s note, and 5 days of paid sick leave without a doctor’s note;
  • Medical insurance coverage for employees, with optional family insurance at a corporate rate;
  • Support for participation in professional development opportunities (webinars, conferences, trainings, etc.);
  • Regular team-building activities and bi-annual company-wide events;
  • Flexible work environments including in-office, remote, or hybrid options based on employee preference and manager approval.

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Data Engineer Senior