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Data Architect and Engineering Leader

3 weeks ago

Remote Warszawa, Czech Republic beBeeDataEngineer Full time
Senior Data Engineer Position

We're seeking a skilled Senior Data Engineer to join our team. As a key member of our data ecosystem, you'll play a crucial role in building and maintaining robust, scalable, and high-performance data pipelines and models.

Your work will have a direct impact on how we deliver insights, power product features, and enable data-driven decision-making across the company.

This position is ideal for someone who combines deep technical skills with a proactive mindset and thrives on solving complex data challenges in a collaborative environment.

The ideal candidate will have:

  • A minimum of 4 years of experience in data engineering or backend development, with a strong focus on building production-grade data pipelines.
  • Solid experience working with AWS services (Redshift, Spectrum, S3, RDS, Glue, Lambda, Kinesis, SQS).
  • Proficient in Python and SQL for data transformation and automation.
  • Experience with dbt for data modeling and transformation.
  • Good understanding of streaming architectures and micro-batching for real-time data needs.
  • Experience with CI/CD pipelines for data workflows (preferably GitLab CI).
  • Familiarity with event schema validation tools/solutions (Snowplow, Schema Registry).
  • Excellent communication and collaboration skills. Strong problem-solving skills—able to dig into data issues, propose solutions, and deliver clean, reliable outcomes.
  • A growth mindset—enthusiastic about learning new tools, sharing knowledge, and improving team practices.

Bonus points for candidates with experience in:

  • Additional AWS services: EMR, EKS, Athena, EC2.
  • Hands-on knowledge of alternative data warehouses like Snowflake or others.
  • Experience with PySpark for big data processing.
  • Familiarity with event data collection tools (Snowplow, Rudderstack, etc.).

You'll be working with a range of technologies including:

  • Cloud: AWS (Redshift, Spectrum, S3, RDS, Lambda, Kinesis, SQS, Glue, MWAA)
  • Languages: Python, SQL
  • Orchestration: Airflow (MWAA)
  • Modeling: dbt
  • CI/CD: GitLab CI (including GitLab administration)
  • Monitoring: Datadog, Grafana, Graylog
  • Event validation process: Iglu schema registry
  • APIs & Integrations: REST, OAuth, webhook ingestion
  • Infra-as-code (optional): Terraform

In this role, you'll contribute to the development of robust CI/CD pipelines for data workflows, supporting automated testing and deployment.

We offer a range of benefits, including:

  • Health and wellness programs
  • Flexible work arrangements
  • Professional development opportunities
  • Competitive salary and benefits package

If you're passionate about data engineering and want to make a meaningful impact, apply now