{"id":2009138,"url":"https://alion.io/job/correlation-one-senior-data-engineer-2","title":"Senior Data Engineer","company":{"id":2000,"name":"Correlation One","domain":"correlation-one.com","url":"https://alion.io/company/correlation-one","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United Kingdom"],"countries":["GB"],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":66000,"max_usd":137000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-08-02T00:07:11Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-18T18:17:42Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":77},"description":"Join our team as a Senior Data Engineer, where you will be responsible for building and operating reliable, analytics-ready data systems that drive decision-making across the organization. You will develop a long-term technical vision for the team, design technical strategies, and mentor engineers. This hands-on role requires advanced SQL skills, experience in cloud environments, and a strong background in data engineering.\nMissions\nContribuer de manière significative aux pipelines de données clés et collaborer étroitement avec les parties prenantes de l'analyse.\nDévelopper une vision technique à long terme pour l'équipe et concevoir une stratégie technique pour développer des composants, des frameworks et des bibliothèques.\nMentorer les ingénieurs, y compris les ingénieurs seniors et juniors de l'équipe, et améliorer et maintenir les normes d'excellence en ingénierie et opérationnelle.\nProfil recherché\n - Experience operating batch ELT pipelines and working with data warehouses- Advanced SQL skills and experience modeling data for analytics and reporting use cases\n- Experience working in a cloud environment such as GCP (or equivalent)\n- Familiarity with dbt or similar transformation tools, and comfort working closely with analytics teams\n- Demonstrated ownership of production systems, including monitoring, debugging, and incident response\n- 4+ years of experience in data engineering or closely related roles\n- Comfort working in ambiguous environments and making pragmatic technical decisions\n- Strong experience building and maintaining production data pipelines using Python\n- Experience working in collaborative, iterative development environments\n- Familiarity with CI/CD practices and source control (e.g., GitHub)\n- Experience working with orchestration tools such as Airflow\n- Hands-on experience integrating data from external APIs\n- Designing or migrating pipelines toward incremental loading patterns\n- Working with infrastructure-as-code tools (e.g., Terraform)\n- Experience with data quality tooling, testing, or observability\n- Exposure to BI tools or supporting analytics workflows\n- Experience learning and adopting new tools or technologies 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