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Open nowPosted 15 hours ago

Senior Data Engineer

Sigma Software33 open roles

Where
Warsaw, Masovian Voivodeship, Poland, Remote
Work mode
Remote
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Your applicationOpen nowSenior Data EngineerSigma Software · Warsaw, Masovian Voivodeship, Poland, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Sigma Software's own form.

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The clock on this job

Early applications get read.

8.3% of postings close within 7 days. Measured by our own scanner across the market. Sigma Software postings stay open a median of 10 days.

Share of postings closed within
  1. 1.9%1 day
  2. 4.0%3 days
  3. 8.3%7 days
  4. 15.3%14 days
  5. 34.2%30 days
This job: posted 15 hours ago

Sigma Software median: 10 days open

The posting

Company Description

We are looking for a Senior Data Engineer to join our Data Engineering Team and take ownership of high-impact, greenfield data initiatives. You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines – turning architectural concepts into production-grade solutions.

Job Description

  • Design and build scalable cloud-native data platforms from greenfield to production
  • Design and implement near-real-time ingestion pipelines using event-driven patterns
  • Define and enforce data platform standards including Data Lake and Lakehouse principles, medallion architecture, and data contracts
  • Refactor, optimize, and modernize Spark and PySpark scripts for performance and maintainability
  • Introduce best practices for code quality, testing, and CI/CD across data pipelines
  • Drive adoption of AI tooling and agentic workflows within the Data Engineering team
  • Ensure data quality, observability, scalability, and reliability across all platforms and pipelines
  • Design and deliver self-service tooling and microservices that simplify platform usage
  • Collaborate with cross-functional stakeholders including Product, Machine Learning, and Data Science teams
  • Contribute to architecture decisions and technical R&D initiatives

Qualifications

  • 5+ years of professional experience in Data Engineering
  • Strong Python and SQL development skills
  • Hands-on experience with Apache Spark and PySpark including query optimization and performance tuning
  • Experience working with Databricks or Snowflake
  • Practical experience with at least one major cloud provider such as Azure, AWS, or GCP
  • Experience with stream processing technologies including Kafka or Spark Structured Streaming
  • Strong understanding of ETL/ELT patterns, data modelling, and data warehousing concepts
  • Experience with orchestration tools such as Apache Airflow or Azure Data Factory
  • Knowledge of Infrastructure as Code tools including Terraform
  • Understanding of production-grade systems including observability, scalability, reliability, and performance
  • Ability to independently lead technical initiatives from concept to delivery
  • Strong communication and collaboration skills
  • Upper-Intermediate or higher English level

WILL BE A PLUS

  • Familiarity with RAG pipeline design and LLM integration patterns
  • Knowledge of data governance frameworks and tools such as Unity Catalog or Apache Atlas
  • Experience with dbt for data transformation and modelling
  • Familiarity with MLflow, Feature Stores, or ML platform integrations

Additional Information

PERSONAL PROFILE

  • Proactive and self-driven mindset
  • Strong analytical and architectural thinking
  • Ability to work independently and take ownership of technical decisions
  • Passion for innovation and modern engineering practices
  • Knowledge-sharing and team-oriented approach
  • Strong problem-solving skills
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