Data Engineer
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Job Description
Dash is working on another rare-to-find role!
On behalf of our client an international fintech startup were looking for a Data Engineer whos eager to build scalable pipelines and shape the data backbone of a product making finance smarter for SMEs.
What youll do:
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Design develop and maintain scalable data pipelines that power financial insights.
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Ingest and transform data from multiple sources (QuickBooks Zoho Xero Excel APIs).
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Ensure high data quality consistency and integrity across the platform.
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Work with PostgreSQL dbt Airflow Python and (Express) to build workflows and APIs.
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Help transition from batch to near-real-time data pipelines.
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Experiment with new tools like DuckDB Apache Arrow or even LLMs for ETL.
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Share responsibility for monitoring debugging and resolving production issues.
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Document your work to keep future onboarding fast and painless.
What you need to have:
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3 to 5 years of experience as a data engineer analytics engineer or backend engineer with strong data responsibilities.
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Solid JavaScript/TypeScript skills plus exposure to React and SQL (Postgres a plus).
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Familiarity with modern data stacks (dbt Airflow ETL tools).
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Curiosity about system design APIs and data-driven products.
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A collaborative mindset you ask good questions give feedback and learn with your team.
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Comfort in a fast-moving startup where priorities shift quickly.
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The right attitude proactive adaptable and eager to grow.
Bonus points for:
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Python and AI/ML libraries.
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Experience with financial systems or fintech startups.
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Familiarity with accounting tools (chart of accounts P&L cashflow reports).
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Exposure to DevOps practices or infra (Docker AWS serverless).
Employment Type
Full Time
