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Data Engineer

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G2i Inc.

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

80.00 USD / Hour
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Job Description:

Our client partners with high-growth startups to build operational systems that transform how teams work. They focus on tooling, workflows and data infrastructure — treating operations as a product, designing systems that move data, automate work and scale reliably. For this role, you’ll be part of the data & engineering effort that underpins those operational systems, contributing to ETL pipelines, data orchestration and typescript development.

Job Responsibility:

  • Design, build and maintain ETL/ELT pipelines to collect, transform and load data from multiple sources into a central data layer (data warehouse, data-lake or equivalent)
  • Work end-to-end: from data ingestion and schema design, through transformation/cleaning, to enabling downstream analytics, dashboards and workflows
  • Write robust, well-tested code in TypeScript (and possibly other languages/tools) for data & pipeline orchestration
  • Partner with cross-functional stakeholders (ops, analytics, engineering) to understand data needs, define requirements and ensure data quality, reliability and availability
  • Monitor data pipelines, set up alerting, ensure data accuracy, performance and scalability as the systems grow
  • Collaborate in building the infrastructure for data as a source of truth, enabling the broader internal tooling and operational systems the company delivers
  • Contribute to design, architecture and best practices around data workflows, including performance, versioning, observability, documentation and automation
  • Operate in a remote, high-autonomy context, often with startup clients and varied tooling environments

Requirements:

  • Proven experience building ETL/ELT pipelines in a production environment (designing ingestion + transformation + loading + monitoring)
  • Strong proficiency in TypeScript (experience writing backend/data-oriented TS code)
  • Solid understanding of data engineering concepts: data modelling, schema design, warehousing, data quality, scheduling, monitoring, error handling
  • Familiarity with modern data tooling/stacks (for example: cloud data warehouses such as Snowflake, BigQuery, Redshift
  • orchestration tools
  • ETL frameworks
  • job scheduling
  • APIs/webhooks)
  • Excellent problem solving — comfortable working with messy data, identifying bottlenecks, designing scalable, maintainable solutions
  • Comfortable working remotely, collaborating asynchronously and autonomously across time zones
  • Based in Europe (time-zone compatible with Europe
  • remote but must reside in Europe)

Nice to have:

  • Experience working in a startup or dynamic environment where rapid iteration and high autonomy are expected
  • Familiarity with internal-tooling or operations automation stacks (e.g., connecting CRMs, Slack, billing systems, data warehouses)
  • Experience in typescript CI/CD, strong engineering discipline around tests, code review, observability
  • Experience with data visualisation, dashboards, or analytics (so data flows serve downstream users)
  • Experience with orchestration tools (e.g., Airflow, dbt, Prefect, Dagster) or cloud job frameworks
  • Experience integrating disparate data sources, APIs/webhooks, real-time or near-real-time data movement
What we offer:
  • Flexible remote work from Europe — you choose your location and working hours (within reason for team overlap)
  • Opportunity to work across high-impact projects with fast-growing startups and help build systems that scale
  • High autonomy and opportunity for ownership: you’ll be shaping how the data layer supports both internal tooling and external client operations
  • Exposure to modern tooling, workflows and operational systems built at scale

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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