{"id":3115806,"url":"https://alion.io/job/bgbx-infrastructure-data-engineer","title":"Infrastructure & Data Engineer","company":{"id":4418391,"name":"BGBx","domain":"bgbx.com","url":"https://alion.io/company/bgbx","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-24T06:02:35Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":55000,"max":75000,"currency":"EUR","period":"year","gross":null,"usd_annual":84125},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flyte","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Data Vault","optional":true},{"name":"Databricks","optional":true},{"name":"Datadog","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Google Cloud Run","optional":true},{"name":"Google GKE","optional":true},{"name":"Grafana","optional":true},{"name":"Helm","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Prometheus","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-22T21:34:29Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T21:11:01Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About Us\nAt BGBx, we're driven by a simple idea: breakthrough thinking creates breakthrough impact. As an independent commercial solutions partner to pharmaceutical and life science companies, we bring together strategists, scientists, communicators, creatives, technologists, and data experts to tackle some of healthcare's most important challenges. \nOur teams work across consulting and communications to help clients shape strategy, launch innovations, engage stakeholders, and drive meaningful results throughout the product lifecycle. The work is complex, fast-moving, and deeply connected to improving lives, creating opportunities for curious minds to make a real difference every day. \nIf you're energized by collaboration, inspired by innovation, and motivated by work that matters, you'll find a place to grow, contribute, and make a meaningful impact at BGBx. \nPosition Overview\nWe are looking for an Infrastructure & Data Engineer with 3-5 years of experience building and maintaining cloud infrastructure, data platforms, and production data pipelines. You will develop and operate reliable, scalable infrastructure that supports data processing, analytics, and other downstream applications. This is an engineering-focused role requiring strong cloud infrastructure skills, coding ability, database knowledge, and experience working with modern data and DevOps technologies.\nYou’ll join an AI-native engineering team that pushes modern tools hard, operates with high autonomy, and moves quickly - without compromising on security, reliability, or sound engineering principles. We actively use AI throughout the engineering lifecycle to accelerate development, investigation, documentation, and operations. At the same time, we care deeply about good architecture, maintainable systems, sensible controls, and knowing when not to automate.\nResponsibilities\nDesign, build, and maintain cloud infrastructure and data platforms, primarily on GCP.\nDevelop and maintain ETL/ELT data pipelines and orchestration workflows.\nBuild and manage infrastructure using Terraform and infrastructure-as-code practices.\nDeploy and operate containerized workloads using Docker and Kubernetes.\nDevelop data solutions using Python and SQL.\nWork with large-scale datasets using BigQuery, GCS, and other cloud-native services.\nBuild and maintain CI/CD pipelines using GitHub Actions.\nImplement and maintain data lineage, metadata, and data dependency tracking across pipelines and datasets.\nMonitor infrastructure and pipeline health, troubleshoot failures, and optimize reliability, performance, and cost.\nManage cloud permissions, secrets, service accounts, and infrastructure security.\nSupport data consumers, software engineers, analysts, data scientists, and product teams.\nImprove automation, observability, deployment processes, and engineering standards across the platform.\nUse AI-assisted engineering tools effectively while applying appropriate review, testing, security, and operational controls.\nQualifications\n3-5 years of hands-on experience in infrastructure engineering, data engineering, platform engineering, or a similar role.\nStrong Python and SQL skills.\nStrong experience with Google Cloud Platform, particularly BigQuery and Google Cloud Storage.\nHands-on experience with Terraform or another infrastructure-as-code tool.\nExperience deploying and operating workloads using Kubernetes.\nExperience with an orchestration tool such as Airflow, Dagster, Prefect, or Flyte.\nExperience building and maintaining CI/CD pipelines, ideally using GitHub Actions.\nStrong database knowledge and experience working with cloud-based data infrastructure.\nUnderstanding of data lineage, metadata management, data quality, and dependencies between data pipelines.\nFamiliarity with cloud IAM, networking, secrets management, monitoring, and logging.\nStrong troubleshooting and problem-solving skills.\nComfortable working in an AI-native development environment and using AI tools as part of day-to-day engineering.\nStrong engineering judgement, including the ability to balance speed with security, maintainability, and reliability.\nNice to Have\nExperience with GKE and other GCP services such as Cloud Run, Pub/Sub, Secret Manager, Artifact Registry, Cloud Monitoring, or Dataplex.\nExperience with data lineage and metadata tools such as OpenLineage, DataHub, Marquez, or similar.\nKnowledge of data modeling concepts such as dimensional modeling or Data Vault.\nExperience with Spark, Databricks, or Apache Beam.\nFamiliarity with Helm or other Kubernetes deployment tooling.\nExperience with observability tools such as Grafana, Prometheus, Datadog, or OpenTelemetry.\nExperience optimizing cloud infrastructure and data workloads for cost and performance.\nExperience building internal developer tooling or AI-assisted engineering workflows.\nOpen-source contributions or other technical projects demonstrating hands-on engineering skills.\nSalary Range: €55,000 - €75,000 per year\nWhat We Offer\nAt BGBx, we invest in our people because exceptional talent drives exceptional work. We provide a competitive rewards package designed to support your health, well-being, professional growth, and life outside of work.\nOur benefits package typically includes health care insurance, retirement plans, generous paid time off and holidays, wellness benefits, life insurance, learning and development opportunities, and other resources that support our employees throughout their careers. Additional benefits may be available based on your location. Beyond benefits, you'll find a culture built on collaboration, innovation, inclusion, and the opportunity to make a meaningful impact on healthcare and the people it serves.\nBGBx is an equal opportunity employer. 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