{"id":1527533,"url":"https://alion.io/job/physarum-data-engineer","title":"Data Engineer","company":{"id":2349,"name":"Physarum","domain":"physarum.ai","url":"https://alion.io/company/physarum","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS Glue","optional":false},{"name":"BigQuery","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-30T14:38:01Z","employer_posted_date":null,"last_verified_at":"2026-09-30T14:38:01Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"We are looking for a Data Engineer with strong foundations in SQL, cloud infrastructure, and event-driven data systems, capable of working across both technical and commercial stakeholders.\nResponsibilities:\nWork closely with business and technical stakeholders to understand requirements and translate them into data solutions.\nDesign and build scalable data pipelines for large-scale data processing.\nDevelop and optimise high-performance SQL workflows for analytics and downstream systems.\nImplement event-driven data orchestration with robust monitoring and alerting.\nEnsure data quality, validation, and governance across all data pipelines.\nContribute to cloud-native infrastructure and deployment workflows.\nSupport scaling and migration efforts for existing data systems.\nRequirements:\nStrong communication skills with the ability to collaborate across commercial and technical teams.\nExpert-level proficiency in SQL (preferably Google BigQuery).\nProficiency in Python for big data processing workloads.\nExperience working with cloud infrastructure, preferably Google Cloud Platform.\nHands-on experience with Infrastructure as Code tools like Terraform.\nStrong understanding of event-driven systems, monitoring, and alerting.\nSolid knowledge of data quality and governance practices.\nExposure to streaming data pipelines (e. g., Apache Kafka) is a plus.\nHands-on experience dealing with scalability challenges or migration projects.","description_format":"text","description_chars":1440,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["MLOps","AI Development Tools","Low-Code & No-Code Platforms"],"lifecycle":[{"event":"open","at":"2026-09-30T14:38:01Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":21,"reasons":["seen:1","win:early"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/physarum-data-engineer","json_url":"https://alion.io/job/physarum-data-engineer.json","meta":{"generated_at":"2026-10-03T02:10:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2362,"day_limit":5000,"remaining_today":2638,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}