{"id":1805991,"url":"https://alion.io/job/capgemini-senior-data-engineer-snowflake-dbt-python","title":"Senior Data Engineer (Snowflake, DBT & Python)","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":1822,"ghost_share":0.001,"stale_share":0.795,"repost_share":0.009,"time_to_fill_p50_days":28,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bogotá, Colombia"],"countries":["CO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":47000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Cortex","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Prometheus","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-22T14:43:36Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-27T11:00:26Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":34},"description":"Job Description\nRole Overview\nThe HR Data Mart (HRDM) team develops and maintains trusted HR analytics data products and infrastructure, enabling secure, scalable, and certified datasets for HR Centers of Excellence and HR leaders. Scope of Work Develop and maintain secure, efficient data pipelines using DBT, PySpark, and Python applications. Build infrastructure and tooling for ETL processes using Python, DBT, Terraform, and AWS services. Implement process improvements and data quality testing. Monitor pipelines and maintain 99.5% uptime. Create and maintain data models used by partner teams. Design and build semantic views and ontology layers on top of dbt models. Develop and deploy AI agents using Snowflake Cortex Analyst/Cortex Search for HR use cases. Configure and maintain MCP (Model Context Protocol) connections between Snowflake and internal AI tooling.\nMust-Have Skills\n5+ years of experience.\nStrong Knowlege Data modeling\nStrong Knowlege Datamarts \nStrong Knowlege Data warehouse design \nStrong KnowlegeDBT for data transformations.\nStrong Knowlege Python including object-oriented programming and data scripting.\nStrong Knowlege REST API integration and data ingestion.\nStrong Knowlege Google BigQuery querying and optimization. \nStrong SQL and highly optimized query development. \nLI-NO1\nLI-Remote\nJob Description - Grade Specific\nHas more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.\nFor this role, the gross annual starting base salary is [X] [currency](full-time). This covers base pay only; any bonuses, incentives, and benefits will be discussed later in the recruitment process. Candidates with additional experience or qualifications may receive a higher offer, determined by objective, gender-neutral criteria and consistent with our pay principles. If a collective labour agreement applies, we will explain the relevant pay terms at the interview stage. Note: We never ask for your current or previous salary during our hiring process.","description_format":"text","description_chars":2589,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["IT Consulting & Digital Transformation","Systems Integrators","Management Consulting","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-10-03T19:10:09Z"},{"event":"close","at":"2026-10-14T21:42:01Z"},{"event":"reopen","at":"2026-10-21T02:14:52Z"}],"visa":[],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.533,"p_room":0.55,"age_days":34,"expected_fill_days":28,"reasons":["conf:3","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/capgemini-senior-data-engineer-snowflake-dbt-python","json_url":"https://alion.io/job/capgemini-senior-data-engineer-snowflake-dbt-python.json","meta":{"generated_at":"2026-10-27T14:57:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3711,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":145},"rest":"https://alion.io/mcp/rest/get_company?id=145"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcapgemini-senior-data-engineer-snowflake-dbt-python"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcapgemini-senior-data-engineer-snowflake-dbt-python"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcapgemini-senior-data-engineer-snowflake-dbt-python"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/capgemini-senior-data-engineer-snowflake-dbt-python\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcapgemini-senior-data-engineer-snowflake-dbt-python"}]}