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Senior/Lead Data Software Engineer (Python, Spark, Azure)

Open 29d posting dated 4 days ago

Summary

Build and optimize a scalable, ML-ready data platform on Azure Databricks, migrating 500+ jobs and tuning PySpark pipelines for regulatory compliance and GenAI integration.

We are seeking a Senior/Lead Data Software Engineer to join our team working on a scalable, ML-ready platform that enhances portfolio model development and deployment with advanced data governance and AI capabilities.

You will play a key role in migrating from an IaaS Big Data platform to Azure-native Databricks, optimizing data workflows and improving data quality. Join us to contribute to innovative solutions that boost client services and regulatory compliance.

Responsibilities

  • Migrate and optimize over 500 data jobs using Azure Databricks optimization techniques
  • Manage and process 12 TB of data efficiently across platforms
  • Tune machine learning models for Azure environments using Java Spark and Delta tables
  • Update and maintain libraries to address security vulnerabilities
  • Develop and maintain ETL/ELT pipelines using PySpark and related technologies
  • Collaborate with cross-functional teams to integrate GenAI capabilities into data workflows
  • Monitor data quality and implement improvements to ensure accuracy and reliability
  • Automate deployment and operational tasks using Terraform and GitLab CI/CD
  • Support data governance initiatives to comply with regulatory standards
  • Troubleshoot and resolve performance issues in data processing systems
  • Document system processes and provide technical guidance to junior engineers
  • Implement best practices for code quality and data security
  • Participate in code reviews and knowledge sharing sessions
  • Optimize costs associated with data storage and processing

Requirements

  • Proficiency in Python and Spark with at least 3 years in data engineering roles
  • Strong experience with Azure Databricks and PySpark
  • Proven expertise in designing and implementing ETL/ELT solutions
  • Experience migrating big data platforms to Azure-native services
  • Proficiency with Delta tables for model tuning
  • Knowledge of data governance and regulatory compliance frameworks
  • Familiarity with Docker, Kubernetes (AKS), and Terraform for infrastructure automation
  • Ability to manage large data volumes with high efficiency
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration abilities
  • English proficiency at B2 level or higher

Benefits

We gather like-minded people:

  • Top tech minds driving innovation in AI, cloud and digital platform modernization
  • Supportive team and agile, startup-like culture
  • Hybrid by design mode and opportunity to work remotely within Poland
  • Chance to work abroad for up to 60 days annually
  • Business-driven relocation opportunities

We provide growth opportunities:

  • Career development programs
  • Thought leadership, mentoring, soft skills and well-being programs
  • Certification (Anthropic, Gemini, GCP, Azure, AWS)
  • English classes

We cover it all:

  • Stable pay
  • Participation in the Employee Stock Purchase Plan with a 15% discount
  • Benefits package (health insurance, multisport, shopping vouchers)
  • Referral bonuses up to $2,000
  • Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
  • Corporate, social and well-being events

Please, note:

  • Benefits listed above are available to employees only
  • We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
  • We will reach out to selected candidates exclusively

See also

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