{"id":3875925,"url":"https://alion.io/job/huzzle-data-engineer-2","title":"Data Engineer","company":{"id":720230,"name":"Huzzle","domain":"huzzle.com","url":"https://alion.io/company/huzzle-2","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":528,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":125,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE","GB","EG","PH","ZA","MA"],"hiring_countries_total":6,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-06T16:17:03Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-06T20:52:18Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Huzzle\nAt 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.\nUnlike traditional outsourcing agencies, we place you directly with our clients, where you become an integral, in-house member of their team.\nJob Type: Full-time\nLocation: Remote\nJob Summary\nAs 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.\nThis 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.\nKey Responsibilities\nDesign, build, and maintain scalable ETL and ELT data pipelines.\nDevelop and optimize data architectures, databases, and data warehouses.\nIntegrate data from various sources, APIs, and third-party platforms.\nMaintain data quality, accuracy, consistency, reliability, and security.\nMonitor, troubleshoot, and improve data pipelines and workflows.\nWork closely with analytics, engineering, and business teams to identify and meet data requirements.\nEstablish data governance standards and best practices for data management.\nImprove data storage, processing speeds, and query performance.\nSupport business intelligence, reporting, and analytics projects.\nMaintain documentation of data models, workflows, and technical processes.\nRequirements\n2+ years of experience in data engineering, data warehousing, or a similar field.\nStrong SQL skills and a solid understanding of database management.\nProficiency in Python, Java, Scala, or other relevant programming languages.\nPractical experience with ETL/ELT tools and building data pipelines.\nFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.\nHands-on experience with modern data warehouse solutions such as Snowflake, Redshift, BigQuery, or Databricks.\nKnowledge of workflow orchestration tools such as Airflow or Prefect.\nUnderstanding of data modelling, governance, and data quality best practices.\nExperience handling large datasets and working with distributed systems is an advantage.\nStrong analytical thinking, problem-solving, and communication abilities.\nComfortable working independently while collaborating with a remote team.\nBenefits\nCompetitive compensation: Tailored to your experience, technical skills, and location.\nFully remote work: Enjoy the flexibility to work from anywhere.\nCareer development: Join innovative companies and contribute to meaningful, high-impact projects.\nLong-term potential: Grow your career alongside ambitious, expanding global organisations.\nOngoing learning: Gain exposure to emerging data technologies, cloud platforms, and large-scale data environments.\nCollaborative environment: Work with skilled engineers, analysts, and business stakeholders.\nModern tech stack: Work with cutting-edge data tools, technologies, and cloud-based 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