{"id":3511767,"url":"https://alion.io/job/sunculture-data-engineer","title":"Data Engineer","company":{"id":57599,"name":"SunCulture","domain":"sunculture.io","url":"https://alion.io/company/sunculture","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Freshteam","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Nairobi, Kenya"],"countries":["KE"],"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":"Anomaly Detection","optional":false},{"name":"ClickHouse","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Grafana","optional":false},{"name":"Great Expectations","optional":false}],"status":"live","first_seen_at":"2026-10-20T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-20T00:00:00Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"Key Responsibilities \n\nBuild Scalable Data Infrastructure: Design, develop, and optimize ETL/ELT pipelines and data warehouses (e.g., ClickHouse) to support analytics, business intelligence, and AI/ML workloads, ensuring scalability, performance, and cost-efficiency.\n\nEnsure Data Quality and Governance: Implement proactive quality frameworks (e.g., dbt tests, Great Expectations) with automated validation, anomaly detection, and alerts to ensure 99.99% data accuracy, completeness, and timeliness. Enforce data masking and compliance with local regulations (e.g., Kenya’s Data Protection Act).\n\nSupport AI and Self-Service Data Platform: Collaborate with the Senior Data Scientist to build and optimize data pipelines that power the AI-led self-service data platform, ensuring high-quality data for generative AI, LLMs, and predictive models like Credit Scoring.\n\nDrive AI Innovation: Proactively explore and implement AI-driven use cases in data engineering, such as automated data cleansing or real-time anomaly detection, to enhance operational efficiency and support business processes.\n\nData Cataloging and Lineage: Implement data cataloging tools and metadata frameworks to enable efficient data discovery, traceability, and compliance, supporting issue resolution and stakeholder needs.\n\nData Access Management: Implement and manage role-based access control (RBAC) for data pipelines and warehouses, ensuring appropriate permissions for stakeholders without over-provisioning. Monitor usage and streamline access to maintain security and compliance.\n\nMonitoring and Optimization: Build and maintain dashboards (e.g., Grafana) and alerts to monitor pipeline health, uptime, and quality metrics. Optimize query performance and resource utilization for AI and analytics workloads.\n\nRoot Cause Analysis and Ad Hoc Support: Investigate data quality issues raised by Data Business Partners or business users, perform root cause analysis, and implement sustainable fixes. Address ad hoc requests, such as data extracts or one-off dashboards, to support the BI team.\n\nContinuous Improvement: Driven by curiosity and innovation, identify and implement enhancements to data engineering processes (e.g., optimized pipelines, streamlined data extraction). Take ownership of initiatives, ensuring follow-through to deliver reliable, efficient solutions.\n\nQualifications \n\nBachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field.\n\n2–5 years of professional experience in data engineering, with a proven track record in building and optimizing scalable data pipelines.\n\nDemonstrated expertise in designing ETL/ELT workflows and data warehouses for analytics and AI applications.\n\nStrong interpersonal and communication skills, with the ability to convey technical concepts to non-technical stakeholders and collaborate across teams.\n\nStrategic thinker with an innovative mindset, driven by curiosity to uncover new opportunities and a strong sense of ownership to ensure high-quality, reliable data infrastructure.\n\nCultural adaptability to align data solutions with local business contexts in Kenya, Uganda, or Côte d'Ivoire, ensuring compliance with regional regulations.\n\nCreative problem-solver who thrives in dynamic environments, prioritizes data accuracy, and drives process improvements.\n\n Key Responsibilities \n\nBuild Scalable Data Infrastructure: Design, develop, and optimize ETL/ELT pipelines and data warehouses (e.g., ClickHouse) to support analytics, business intelligence, and AI/ML workloads, ensuring scalability, performance, and cost-efficiency.\n\nEnsure Data Quality and Governance: Implement proactive quality frameworks (e.g., dbt tests, Great Expectations) with automated validation, anomaly detection, and alerts to ensure 99.99% data accuracy, completeness, and timeliness. Enforce data masking and compliance with local regulations (e.g., Kenya’s Data Protection Act).\n\nSupport AI and Self-Service Data Platform: Collaborate with the Senior Data Scientist to build and optimize data pipelines that power the AI-led self-service data platform, ensuring high-quality data for generative AI, LLMs, and predictive models like Credit Scoring.\n\nDrive AI Innovation: Proactively explore and implement AI-driven use cases in data engineering, such as automated data cleansing or real-time anomaly detection, to enhance operational efficiency and support business processes.\n\nData Cataloging and Lineage: Implement data cataloging tools and metadata frameworks to enable efficient data discovery, traceability, and compliance, supporting issue resolution and stakeholder needs.\n\nData Access Management: Implement and manage role-based access control (RBAC) for data pipelines and warehouses, ensuring appropriate permissions for stakeholders without over-provisioning. Monitor usage and streamline access to maintain security and compliance.\n\nMonitoring and Optimization: Build and maintain dashboards (e.g., Grafana) and alerts to monitor pipeline health, uptime, and quality metrics. Optimize query performance and resource utilization for AI and analytics workloads.\n\nRoot Cause Analysis and Ad Hoc Support: Investigate data quality issues raised by Data Business Partners or business users, perform root cause analysis, and implement sustainable fixes. Address ad hoc requests, such as data extracts or one-off dashboards, to support the BI team.\n\nContinuous Improvement: Driven by curiosity and innovation, identify and implement enhancements to data engineering processes (e.g., optimized pipelines, streamlined data extraction). Take ownership of initiatives, ensuring follow-through to deliver reliable, efficient solutions.\n\nQualifications \n\nBachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field.\n\n2–5 years of professional experience in data engineering, with a proven track record in building and optimizing scalable data pipelines.\n\nDemonstrated expertise in designing ETL/ELT workflows and data warehouses for analytics and AI applications.\n\nStrong interpersonal and communication skills, with the ability to convey technical concepts to non-technical stakeholders and collaborate across teams.\n\nStrategic thinker with an innovative mindset, driven by curiosity to uncover new opportunities and a strong sense of ownership to ensure high-quality, reliable data infrastructure.\n\nCultural adaptability to align data solutions with local business contexts in Kenya, Uganda, or Côte d'Ivoire, ensuring compliance with regional regulations.\n\nCreative problem-solver who thrives in dynamic environments, prioritizes data accuracy, and drives process improvements.","description_format":"text","description_chars":6667,"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":["Information Technology","AgTech","Irrigation","Solar Energy"],"lifecycle":[{"event":"open","at":"2026-10-30T07:59:17Z"}],"visa":[],"liveness":{"score":77,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.766,"p_room":1,"age_days":12,"expected_fill_days":38,"reasons":["seen:12","win:early"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/sunculture-data-engineer","json_url":"https://alion.io/job/sunculture-data-engineer.json","meta":{"generated_at":"2026-11-01T09:22:30Z","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":14544,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":57599},"rest":"https://alion.io/mcp/rest/get_company?id=57599"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsunculture-data-engineer"},{"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%2Fsunculture-data-engineer"},{"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%2Fsunculture-data-engineer"},{"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/sunculture-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsunculture-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3511767}},{"tool":"search_jobs","arguments":{"company":"sunculture.io","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3511767},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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