Senior Data Engineer; Integrations

Position: Senior Data Engineer (Integrations)
Senior Data Engineer – Integrations (Italy)
Design and operate the data backbone that powers advanced blockchain analytics products used by teams and customers worldwide. Build reliable, scalable ingestion pipelines and well-modeled core datasets that others can confidently build on. Own systems that handle large volumes of streaming and batch data with a strong emphasis on correctness and stability. Collaborate closely with engineers, analysts, and product teams in a remote-first, high‑autonomy environment.

Accountabilities

Design, build, and scale high‑performance data pipelines and infrastructure using technologies such as Click House, Python, and dbt

Own the full lifecycle of data pipelines, from raw ingestion through transformation to clean, well‑defined datasets

Build and operate systems that support large‑scale streaming and batch processing with strong guarantees around correctness and reliability

Improve observability, data quality checks, and failure handling to ensure predictable performance at scale

Collaborate with downstream data consumers to define clear dataset contracts, schemas, and usage patterns

Contribute to core datasets that serve as long‑lived foundations for analytics, product features, and research

Leverage AI‑powered development tools and agents to accelerate delivery, automate repetitive tasks, and improve code quality

Continuously evolve tooling and practices by staying current with modern data engineering approaches

Requirements

Proven experience building and operating production‑grade data pipelines that run continuously and reliably

Strong fundamentals in data and software engineering, with deep expertise in Python and SQL

Hands‑on production experience with Click House and dbt

Solid understanding of streaming and batch ingestion patterns, including backfills, reprocessing, and schema evolution

Comfort working across the full data stack, including ingestion, transformation, storage, and exposure to downstream systems

Experience designing clean, reusable datasets intended for broad internal consumption

Familiarity with using AI‑assisted development tools in daily workflows, or strong curiosity to adopt them

Clear written and verbal communication skills suited to remote‑first and asynchronous collaboration

Pragmatic, ownership‑driven mindset with the ability to execute in complex environments

Experience with , or strong interest in, blockchain data, crypto ecosystems, and Web3 technologies

Benefits

Competitive compensation package aligned with a remote‑first setup

Flexible working model with autonomy over schedule and execution

Opportunity to work on massive‑scale data challenges in a rapidly growing industry

High‑impact role with influence on technical and product direction

Collaborative culture that values ownership, execution, and continuous improvement

Why Apply Through Jobgether?
We use an  AI‑powered matching process  to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps are managed by their internal team.

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