Senior Data Engineer

Senior Data Engineer – Integrations1 day ago Be among the first 25 applicantsThis position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer Integrations in Italy.In this role, you will help design and operate the data backbone that powers advanced blockchain analytics products used by teams and customers worldwide. You will focus on building reliable, scalable ingestion pipelines and well‑modeled core datasets that others can confidently build on. Working at the intersection of data and software engineering, you will own systems that handle large volumes of streaming and batch data with a strong emphasis on correctness and stability. You will collaborate closely with engineers, analysts, and product teams in a remote‑first, high‑autonomy environment. This position offers meaningful ownership, technical depth, and the opportunity to solve foundational data challenges in a fast‑evolving industry. It is ideal for engineers who value impact, quality, and pragmatic execution.AccountabilitiesDesign, build, and scale high‑performance data pipelines and infrastructure using technologies such as ClickHouse, Python, and dbtOwn the full lifecycle of data pipelines, from raw ingestion through transformation to clean, well‑defined datasetsBuild and operate systems that support large‑scale streaming and batch processing with strong guarantees around correctness and reliabilityImprove observability, data quality checks, and failure handling to ensure predictable performance at scaleCollaborate with downstream data consumers to define clear dataset contracts, schemas, and usage patternsContribute to core datasets that serve as long‑lived foundations for analytics, product features, and researchLeverage AI‑powered development tools and agents to accelerate delivery, automate repetitive tasks, and improve code qualityContinuously evolve tooling and practices by staying current with modern data engineering approachesRequirementsProven experience building and operating production‑grade data pipelines that run continuously and reliablyStrong fundamentals in data and software engineering, with deep expertise in Python and SQLHands‑on production experience with ClickHouse and dbtSolid understanding of streaming and batch ingestion patterns, including backfills, reprocessing, and schema evolutionComfort working across the full data stack, including ingestion, transformation, storage, and exposure to downstream systemsExperience designing clean, reusable datasets intended for broad internal consumptionFamiliarity with using AI‑assisted development tools in daily workflows, or strong curiosity to adopt themClear written and verbal communication skills suited to remote‑first and asynchronous collaborationPragmatic, ownership‑driven mindset with the ability to execute in complex environmentsExperience with, or strong interest in, blockchain data, crypto ecosystems, and Web3 technologiesBenefitsCompetitive compensation package aligned with a remote‑first setupFlexible working model with autonomy over schedule and executionOpportunity to work on massive‑scale data challenges in a rapidly growing industryHigh‑impact role with influence on technical and product directionCollaborative culture that values ownership, execution, and continuous improvementSeniority levelMid‑Senior levelEmployment typeFull‑timeJob functionInformation TechnologyIndustriesInternet Marketplace PlatformsData Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.#J-18808-Ljbffr