{"id":50412,"url":"https://alion.io/job/ing-data-engineer-ibm-cognos","title":"Data Engineer (IBM Cognos)","company":{"id":3744,"name":"ING Group","domain":"ing.com","url":"https://alion.io/company/ing","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":107,"ghost_share":0.009,"stale_share":0.776,"repost_share":0.028,"time_to_fill_p50_days":28,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manila, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cognos","optional":false},{"name":"DataStage","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-28T19:40:24Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"As a Data Engineer, you'll join our Retail Banking team, where data plays a critical role in improving customer experiences, optimizing business processes, and supporting strategic decision-making.\nYou will be responsible for the end-to-end development of analytics and reporting solutions, from sourcing and transforming data to building reports, dashboards, and data models. Working closely with business stakeholders and technical teams, you'll help deliver insights that create measurable business value.\nAbout the Team\nYou will become part of ING Hubs Philippines, an international team supporting ING's Retail Banking business. Our teams bring together diverse perspectives, collaborate across borders, and embrace a culture of continuous learning and shared success.\nThis is an opportunity to work with colleagues from different countries, exchange knowledge with global experts, and contribute to data-driven initiatives that improve both customer and business outcomes.\nWhat You'll Do\nDevelop and maintain reporting and analytics solutions that support business performance and decision-making\nGather requirements and translate business needs into scalable data and reporting solutions\nExtract, transform, validate, and integrate data from multiple sources\nDesign and implement data handling processes, including ingestion, transformation, modelling, and storage\nBuild dashboards and reporting solutions using Cognos and Power BI\nAnalyze complex datasets to identify trends, risks, and opportunities for improvement\nPresent insights and recommendations to business stakeholders\nSupport continuous improvement initiatives through data-driven analysis\nEnsure data quality, consistency, and reliability across reporting assets\nCollaborate with business and technical teams to deliver high-impact analytical solutions\nWhat We're Looking For\nRequired Skills & Experience\nAt least 2-5 years of experience in a data-related role\nExpertise in ETL technologies such as IBM DataStage or similar data integration tools\nStrong expertise in SQL and relational database management systems (RDBMS)\nExperience handling both structured and unstructured data\nExtensive experience designing and implementing data handling processes, including data ingestion, data transformation, data modelling, and data storage.\nStrong understanding of data warehousing, data quality, and business intelligence concepts\nExperience building dashboards and reports using Cognos and Power BI\nEffective communication and stakeholder management skills\nAbility to work independently with a proactive mindset\nFlexible and willing to learn new ETL and data integration technologies\nBachelor’s degree in computer science, Engineering, Mathematics, Statistics, or a related quantitative discipline\nNice to Have\nExperience within banking, financial services, or highly regulated industries\nExperience working with additional ETL or data integration technologies\nExposure to predictive analytics and statistical modelling\nKnowledge of Python for data analysis and automation\nExperience driving process improvement initiatives through data and analytics\nExperience presenting recommendations to senior stakeholders\nWhat We Offer\nOpportunities to collaborate with international teams across the ING network\nA culture that encourages continuous learning and professional growth\nExposure to enterprise-scale data engineering and analytics initiatives\nA diverse and inclusive workplace where your ideas are valued\nThe opportunity to solve meaningful business challenges using data\nThe chance to contribute to products and services that impact millions of customers worldwide\nWorried about the wage gap? So are we. Our commitment to pay equity means you'll be valued for your skills, not your gender.\nHow to Apply\nInterested in joining us? Click the apply button on our careers site and submit your application through Workday.\nJob Application Safety Reminder\nWe're seeing an increase in fraudulent job offers. To protect yourself, please follow these key guidelines when applying for roles at ING:\nApply only via official ING platforms. ING uses Workday as its internal recruitment system.\nApplications should be submitted only through our official careers site.\nCheck the sender's email carefully. Legitimate communication will always come from @ing.com and/or @myworkday.com.\nING will never ask for payments or banking details during the recruitment process. If someone requests this information, it is a scam.\nAbout ING\nWith 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what's possible and at the same time ensure you work with integrity and hold the customer's interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.","description_format":"text","description_chars":5014,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-08-11T00:00:00Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.244,"p_room":0.35,"age_days":78,"expected_fill_days":28,"reasons":["conf:2","stale_co","velocity","win:tail","comp:junior,brand"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/ing-data-engineer-ibm-cognos","json_url":"https://alion.io/job/ing-data-engineer-ibm-cognos.json","meta":{"generated_at":"2026-10-28T21:22:34Z","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":29505,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":3744},"rest":"https://alion.io/mcp/rest/get_company?id=3744"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fing-data-engineer-ibm-cognos"},{"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%2Fing-data-engineer-ibm-cognos"},{"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%2Fing-data-engineer-ibm-cognos"},{"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/ing-data-engineer-ibm-cognos\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fing-data-engineer-ibm-cognos"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":50412}},{"tool":"search_jobs","arguments":{"company":"ing.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":50412},"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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