Data Engineer

About HuzzleAt Huzzle, we connect exceptional talent with exciting opportunities at leading companies across the UK, US, Canada, Europe, and Australia. We work with a diverse range of clients, including startups, digital agencies, and technology-driven businesses across industries such as SaaS, MarTech, FinTech, and AI.Unlike traditional outsourcing agencies, we place you directly with our clients, where you become an integral, in-house member of their team.Job Type: Full-time

Location: RemoteJob SummaryAs a Data Engineer, you will play a key role in designing, developing, and maintaining scalable data pipelines and infrastructure.

You will collaborate with data analysts, data scientists, software engineers, and business stakeholders to ensure data is reliable, accessible, and of high quality across the organisation.This is a great opportunity for professionals who enjoy tackling complex data challenges and building robust systems that power business intelligence, analytics, and machine learning initiatives.Key ResponsibilitiesDesign, build, and maintain scalable ETL and ELT data pipelinesDevelop and optimize data architectures, databases, and data warehousesIntegrate data from various sources, APIs, and third-party platformsMaintain data quality, accuracy, consistency, reliability, and securityMonitor, troubleshoot, and improve data pipelines and workflowsWork closely with analytics, engineering, and business teams to identify and meet data requirementsEstablish data governance standards and best practices for data managementImprove data storage, processing speeds, and query performanceSupport business intelligence, reporting, and analytics projectsMaintain documentation of data models, workflows, and technical processesRequirements2+ years of experience in data engineering, data warehousing, or a similar fieldStrong SQL skills and a solid understanding of database managementProficiency in Python, Java, Scala, or other relevant programming languagesPractical experience with ETL/ELT tools and building data pipelinesFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud PlatformHands-on experience with modern data warehouse solutions such as Snowflake, Redshift, BigQuery, or DatabricksKnowledge of workflow orchestration tools such as Airflow or PrefectUnderstanding of data modelling, governance, and data quality best practicesExperience handling large datasets and working with distributed systems is an advantageStrong analytical thinking, problem-solving, and communication abilitiesComfortable working independently while collaborating with a remote teamBenefits💰 Competitive compensation: Tailored to your experience, technical skills, and location.🌎 Fully remote work: Enjoy the flexibility to work from anywhere.🚀 Career development: Join innovative companies and contribute to meaningful, high-impact projects.📈 Long-term potential: Grow your career alongside ambitious, expanding global organisations.🧠 Ongoing learning: Gain exposure to emerging data technologies, cloud platforms, and large-scale data environments.🤝 Collaborative environment: Work with skilled engineers, analysts, and business stakeholders.⚙️ Modern tech stack: Work with cutting-edge data tools, technologies, and cloud-based solutions.