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Data Engineering Team Leader (remote in Poland)

Data Engineering Team Leader (remote in Poland)

JobgetherPL
20 days ago
Job type
  • Remote
  • Quick Apply
Job description

This position is posted by Jobgether on behalf of Profitroom. We are currently looking for a Data Engineering Team Leader in Poland .

This is a fully remote opportunity for a skilled data professional eager to shape how data drives product decisions, business operations, and long-term strategy. In this leadership role, you’ll mentor a technical team, guide engineering excellence, and contribute to the architecture and governance of modern data platforms. Your work will directly influence product innovation, operational efficiency, and customer success across a fast-scaling environment. If you're passionate about leveraging data at scale and leading high-impact projects, this role offers both challenge and ownership.

Accountabilities :

  • Lead the Data Engineering team, supporting personal development, mentoring, and fostering soft people management.
  • Act as Delivery Manager for data projects — define priorities and ensure on-time task execution.
  • Establish and enforce best practices around testing, CI / CD, code review, and documentation.
  • Architect and evolve a modern Lakehouse infrastructure, preferably Databricks-based.
  • Develop and maintain data pipelines using Python, PySpark, and orchestration tools like Dagster.
  • Ensure semantic consistency and robust modeling of datasets, using frameworks like Kimball or Medallion.
  • Collaborate closely with cross-functional teams (analysts, PMs, stakeholders) to align data efforts with business goals.
  • Support and advance data governance, including lineage, cataloguing, and quality monitoring.

Requirements

  • 3+ years of experience as a Data Engineer or in a similar technical data role.
  • At least 1 year of experience leading technical teams or managing data projects — or strong interest in growing into such a role.
  • Advanced knowledge of Python, SQL, and orchestration tools such as Dagster or Airflow; PySpark is a plus.
  • Proven experience with cloud data platforms (Databricks and Lakehouse architectures are highly valued).
  • Proficiency in data modeling using Kimball or Medallion approaches.
  • Familiarity with tools like DataHub, Terraform, Docker is a bonus.
  • Strong communication skills (English B2+), a sense of ownership, and excellent self-organization.
  • Benefits

  • 100% remote work with flexible hours to ensure work-life balance.
  • Annual "Work with Us, Travel with Us" travel vouchers.
  • English classes and a dedicated team development fund to boost your skills.
  • Co-financed life & medical insurance, sports access, and professional mental health support.
  • 26 days of paid leave with a Contract of Employment or 24 days off for B2B contractors.
  • 2 additional CSR days off, plus perks for special life events (weddings, babies, etc.).
  • Company retreats, team-building events, and a strong referral program.
  • Transparent culture with a flat hierarchy and open feedback.
  • Competitive salary : 25,500–30,000 PLN (B2B) or 21,000–25,000 PLN gross (employment contract).
  • Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

    When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

    Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.

    It compares your profile to the job’s core requirements and past success factors to determine your match score.

    Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

    When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.

    Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

    Thank you for your interest!

    LI-CL1

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