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Open nowFirst seen 35 hours ago

Data Engineer

XFactor Talent12 open roles

Where
Berlin, Germany
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Your applicationOpen nowData EngineerXFactor Talent · Berlin, Germany

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 35 hours ago

The posting

Position: Data Engineer

Relocation to Netherlands or Germany

In This Role, You Will

  • Architect and lead the development of large-scale systems for data pipelines, data lakes that handle billions of daily events.
  • Design and implement solutions that ensure data is available, secure, and scalable across the platform, enabling real-time and batch processing.
  • Make high-level architectural decisions about system design, technology choices, and platform evolution, ensuring scalability and long-term sustainability.
  • Collaborate with key stakeholders, such as product teams, data engineers, back-end developers, and ML engineers, to build tools & frameworks that power analytics, product features, and data-driven workflows.
  • Work with business stakeholders such as Analytics Eng, Data Science, Machine Learning, and Product teams to build high-impact data products enabling business-critical features, research, and experimentation with a focus on efficiency and alignment
  • Collaborate with Leadership in devising the charter and technical roadmaps
  • Mentor engineers across back-end infrastructure and data engineering disciplines, fostering a culture of collaboration and technical excellence.

Qualifications

  • Has experience in large-scale distributed computing systems, with expertise in both data engineering and data modeling.
  • Has experience managing live production environments, including high-load systems or data-intensive workflows, with a focus on uptime and reliability.
  • Expert in SQL and proficient in technologies like Spark, Kafka, Terraform, and in at least one programming language commonly used for data engineering (e.g., Python, Scala, or Java).
  • Strong knowledge of ETL/ELT design patterns, orchestration tools (e.g., Airflow, dbt, Dagster), and data quality frameworks.
  • Ability to design scalable, secure, and maintainable data models and architectures, and understanding of data governance, privacy regulations.
  • Hands-on experience with modern data storage technologies (e.g., Delta Lake, Snowflake, BigQuery, Redshift).
  • Is a strategic thinker, able to evaluate whether to build internally or leverage third-party solutions, ensuring the right balance between speed, scalability, and long-term viability.
  • Is an excellent communicator and collaborator, able to work across diverse teams and stakeholders, translates business needs into robust data solutions, and ensures alignment on technical goals.
  • Has a demonstrated ability to work independently with minimal to zero guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.
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