Lead Data Engineer (Business Financing)

Coherent Solutions

Deutschland

Hybrid

EUR 90.000 - 125.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Medical insurance
Flexible work options (remote & hybrid
Internal conferences & meetups

Zusammenfassung

Coherent Solutions is helping a U.S.-based fintech client transform a modern data platform. The role focuses on building Snowflake-based pipelines, dbt models, and orchestration with Dagster or Airflow, delivering production-ready data products for Treasury and Finance domains.

You will lead a small team of Data Engineers, mentor peers, review designs, and collaborate with BI and Data Governance to ensure data quality and clear definitions. Remote/hybrid work in Germany is supported.

Qualifikationen

  • 5+ years of experience in data engineering.
  • Strong hands-on experience with Snowflake.
  • Advanced hands-on experience with dbt.
  • Experience with Dagster, Airflow, or similar orchestration platforms.

Aufgaben

  • Provide technical leadership to a small team of Data Engineers.
  • Support the implementation of the target data architecture.
  • Design and build scalable data pipelines and data products on Snowflake.
  • Develop and maintain dbt models and transformation workflows.
  • Use Dagster or Airflow to orchestrate data workflows.
  • Review technical designs and contribute to engineering decisions.
  • Collaborate with BI teams to migrate Alteryx logic.
  • Partner with Data Governance on data quality and definitions.
  • Validate outputs, troubleshoot data issues, and mentor engineers.
  • Leverage AI-assisted development tools to improve productivity.

Kenntnisse

Snowflake
dbt
Dagster/Airflow
Data pipelines
Leadership
Data governance
English B2+

Tools

Cursor
LLMs

Jobbeschreibung

Company Background

Our client is a U.S.-based fintech company providing financing solutions to small and medium-sized businesses. Founded in 2006, the company operates as both a direct lender and a financing marketplace, having deployed more than $10 billion in growth capital to support over 65,000 businesses across the United States. Its technology- and data-driven solutions help business owners access funding quickly and efficiently.

Project Description

The project focuses on transforming and scaling a modern data platform. The team is building a Snowflake-based data platform and converting existing Alteryx workflows into governed, production-ready data products. The initial phase is focused on Treasury and Finance, with additional business domains planned for future phases.

Technologies
  • Snowflake
  • dbt
  • Fivetran
  • Dagster/Airflow
  • MetricFlow
  • SQL and Data Modeling
  • Cursor and LLM-based Development Tools
  • Data Quality and Monitoring Tools
What You’ll Do
  • Provide technical leadership to a small team of Data Engineers;
  • Support the implementation of the target data architecture;
  • Design and build scalable data pipelines and data products on Snowflake;
  • Develop and maintain dbt models and transformation workflows;
  • Use Dagster or Airflow to orchestrate data workflows;
  • Review technical designs and contribute to engineering decisions;
  • Collaborate with BI teams to understand and migrate existing Alteryx business logic;
  • Partner with Data Governance teams on data quality, business definitions, and critical data elements;
  • Validate outputs, investigate data issues, and troubleshoot complex logic gaps;
  • Mentor engineers and help establish strong engineering practices;
  • Leverage AI-assisted development tools, such as Cursor and LLMs, to improve engineering productivity;
Job Requirements
  • 5+ years of experience as a Data Engineer;
  • Strong hands-on experience with Snowflake;
  • Advanced hands-on experience with dbt;
  • Experience with Dagster, Airflow, or similar orchestration platforms;
  • Strong background in modern data architecture and data engineering;
  • Experience with data quality, monitoring, and observability;
  • Ability to lead technical discussions and mentor engineers;
  • Experience collaborating across Engineering, BI, and Data Governance teams;
  • Comfortable using AI-assisted software development tools;
  • English proficiency at B2 level or higher;
  • Snowflake certification is preferred;
  • Availability to maximize overlap with U.S. Central Time working hours, especially from 2:00 p.m. CT onward, is a strong plus;
What Do We Offer

The global benefits package includes:

  • Resources and opportunities for self-education in technical and non-technical areas;
  • Access to internal conferences and meetups for knowledge sharing and learning from industry experts;
  • Medical insurance;
  • Sports activities to promote a healthy lifestyle;
  • Flexible work options, including remote and hybrid opportunities;
  • Referral program for bringing in new talent;
  • Work anniversary program.
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