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Lead Senior Data Engineer

Crunch AnalyticsRotterdam, Zuid-Holland, Nederland
On-site Full-time

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Experience Level

Senior

Qualifications

Key Responsibilities:Lead the design of scalable data architectures that align with customer needs and long-term goals;Design and implement cutting-edge lakehouse and warehouse solutions utilizing Databricks, Microsoft Fabric, BigQuery, or Snowflake;Establish the benchmark for ETL/ELT pipelines with tools such as dbt, Airflow, Dagster, or dlt;Make informed decisions on data modeling techniques (Kimball, Data Vault 2.0, One Big Table, etc.) based on practical applicability rather than trends;Incorporate CI/CD, infrastructure-as-code (Terraform, Bicep), and observability into every project from inception;Develop streaming and real-time pipelines when justified by the use case (Kafka, Spark Structured Streaming, CDC tools like Debezium or Fivetran);Establish monitoring, alerting, lineage, and data quality frameworks to preemptively identify issues;Collaborate with data scientists, ML engineers, and BI developers to ensure holistic support for the data lifecycle;Coach and mentor mid-level data engineers, enhancing the quality of code and practices within the team.

About the job

Crunch Analytics seeks a Lead Senior Data Engineer to join the team in Rotterdam, Zuid-Holland. This position focuses on building and maintaining reliable data pipelines and platforms, ensuring that data-driven insights lead to meaningful decisions for clients. Data engineering sits at the core of Crunch Analytics’ mission, bridging the gap between algorithms and real-world impact.

Key Responsibilities

  • Design and implement data pipelines and infrastructure that are scalable, dependable, and easy to maintain.
  • Make foundational architectural decisions early in projects to support long-term sustainability and foster client confidence.
  • Guide the team in selecting the most suitable tools and strategies, such as choosing between Iceberg and traditional data warehouses or weighing a lean dbt model against a large Spark job.
  • Mentor mid-level engineers, sharing expertise and raising the standard for the team.
  • Challenge existing architectural assumptions and advocate for improvements when needed.
  • Collaborate closely with clients from the initial concept phase through to a fully operational data platform.

Requirements

  • Proven experience designing and building sustainable data pipelines and platforms.
  • Comfort making architectural decisions and explaining those choices to both technical teams and clients.
  • Strong mentoring skills and a collaborative approach to team development.
  • Ability to navigate trade-offs between different data engineering tools and methodologies.
  • Willingness to engage in both hands-on engineering and high-level architectural planning.

Working at Crunch Analytics

Crunch Analytics helps organizations become truly data-driven. The team values clear, sustainable solutions over quick fixes and focuses on building data infrastructure that clients can trust for years to come.

About Crunch Analytics

Crunch Analytics is at the forefront of creating innovative, data-driven solutions for businesses. Our commitment to excellence in data engineering ensures that we deliver high-quality, reliable data infrastructures that empower organizations to make informed decisions.

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